link.springer.com3a978-0-387...bibliography aanestad, m., monteiro, e., nielsen, p.: information...

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Bibliography Aanestad, M., Monteiro, E., Nielsen, P.: Information infrastructures and public goods: Analytical and practical implications for SDI. Inf. Technol. Dev. 13, 7–25 (2007) Abdel-Aziz, Y.I., Karara, H.M.: Direct linear transformation from comparator coordinates into object space coordinates in close- range photogrammetry. Proc Symp. Close-range Photogramme- try, pp. 1–18, Am. Soc. Photogrammetry (1971) Abdelmoty, A.I., Smart, P.D., Jones, C.B., Fu, G., Finch, D.: A critical evaluation of ontology languages for geographical information retrieval. J. Visual Languages Comput. 16, 331–358 (2005) Abel, D.J., Taylor, K., Ackland, R., Hungerford, S.: An exploration of gis architectures for internet environments. Comp Env Urban Sys 22(1), 7–23 (1998) Abhinandan, D., Gehrke, J., et al.: Approximation techniques for spa- tial data. Proceedings of the 2004 ACM SIGMOD internation- al conference on Management of data. Paris, France. SESSION: Research sessions: spatial data. Pgs. 695–706. (2004) Abiteboul, S., Hull, R.: IFO: A formal semantic database model. ACM Trans. Database Syst. 12, 525–565 (1987) Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley, Reading, Massachusetts (1995) Abowd, G.D., Atkeson, C.G., Hong, J., Long, S., Kooper, R., Pinker- ton, M.: Cyberguide: A mobile context-aware tour guide. Wire- less Networks 3(5), 421–433 (1997) Abowd, G.D., Mynatt, E.D., Rodden, T.: The human experience. IEEE Pervasive Comput. 1, 48–57 (2003) Abraham, T., Roddick, J.F.: Survey of spatio-temporal databases. Geoinformatica 3(1): 61–99 (1999) Acharya, S., Gibbons, P., Poosala, V., Ramaswamy, S.: Joint synopses for approximate query answering. In: SIGMOD ’99: Proceedings of the 1999 ACM SIGMOD international conference on Man- agement of data, pp. 275–286. ACM Press, New York, NY, USA (1999) Ackoff, R.L.: From Data to Wisdom, J. Appl. Syst. Anal. 16, 3–9 (1989) Adam, N., Janeja, V.P., Atluri, V.: Neighborhood based detection of anomalies in high dimensional spatio-temporal sensor datasets. In: 19th ACM Symp. on Applied Computing (2004) ADHS Guides to Good Practice http://ahds.ac.uk/history/creating/ guides/gis/ Accessed 21 March 2007 Aerts, J.C.J.H., Goodchild, M.F., Heuvelink, G.B.M.: Accounting for spatial uncertainty in optimization with spatial decision support systems. Trans. GIS 7(2), 211–230 (2003) Afrati, F., Cosmadakis, S., Grumbach, S., Kuper, G.: Linear versus polynomial constraints in database query languages. In: Born- ing, A. (ed.) Proceedings of the 2nd Workshop on Principles and Practice of Constraint Programming. Lecture Notes in Comput- er Science, vol. 874, pp. 181–192 Springer-Verlag, Heildelberg (1994) Agarwal, P.: Contested Nature of place. In: Egenhofer, M., Freska, C., Harvey, M. (eds.) 3rd International Conference GIScience, 2004, LNCS 3234, pp. 1–21. Springer, Berlin (2004) Agarwal, P., Har-Peled, S.: Maintaining Approximate Exten Mea- sures of Moving Points. In: Proceedings of the 12th ACM-SIAM Sympos. Discrete Algorithms, Washington, DC, USA, 7–9 Jan 2001, pp. 148–157 Agarwal, P., Huang, Y., Dimitrova, V.:, Formal approach to recon- ciliation of individual ontologies for personalization of geospa- tial semantic web. In: Proceedings of the First International Con- ference on Geospatial Semantics, Mexico City, November 2005. Lecture Notes in Computer Science, vol. 3799, pp.202–219, Springer-Verlag, Berlin (2005) Agarwal, P.K., Arge, L., Erickson, J.: Indexing moving points. J. Comput. Syst. Sci. 66(1), 207–243 (2003) Agarwal, P.K., Arge, L., Erickson, J.: Indexing Moving Points. In: Proceedings of the 19th ACM Symp. on Principles of Database Systems, Dallas, Texas, USA, 15–17 May 2000, pp. 175– 186 Agarwal, P.: Ontological considerations in GIScience. Int. J. Geogr. Inf. Sci. 19, 501–535 (2005) Ageenko, E.I., Frnti, P.: Compression of large binary images in digital spatial libraries. Comput. Graphics 24, 91–98 (2000) Aggarwal, C.C., Agrawal, D.: On nearest neighbor indexing of non- linear trajectories. In: PODS, pp. 252–259 (2003) Aggarwal, C., Hinneburg, A., Keim, D.A.: On the surprising behavior of distance metrics in high dimensional space. In: Proceedings of the 8th International Conference on Database Theory, London, 6 January 2001, pp. 420–434 Aggett, G., McColl, C.: Breaking down barriers: geospatial deci- sion-support systems help citizens embrace community land-use planning. Land Bulletin of the National Consortium for Rural Geospatial Innovations. University of Wisconson, Madison, WI (2006) www.ruralgis.org Aggett, G.R., Wilson, J.P.: Creating and coupling a high-resolution DEM with a 1-D hydraulic model in a GIS for scenario-based assessment of avulsion in a gravel-bed river. Geomorphology, in review (2007) Agouris, P., Stefanidis, A., Gyftakis, S.: Differential Snakes for Change Detection in Road Segments. Photogramm. Eng. Remote Sens. 67(12), 1391–1399 (2001) Agrawaland, R., Srikant, R.: Mining sequential patterns. In: Proc. of SIGKDD (1995) Agrawal, R., Faloutsos, C., Swami, A.: Efficient Similarity Search In Sequence Databases. In: Lecture Notes in Computer Science, vol. 730, Berlin/Heidelberg (1993) Agrawal, R., Skrikant, R.: Fast algorithms for mining association rules. In: Proceedings of the 20th Intnational Conference on Very Large Data Bases, pp. 487–499 (1994)

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  • Bibliography

    Aanestad, M., Monteiro, E., Nielsen, P.: Information infrastructuresand public goods: Analytical and practical implications for SDI.Inf. Technol. Dev. 13, 7–25 (2007)

    Abdel-Aziz, Y.I., Karara, H.M.: Direct linear transformation fromcomparator coordinates into object space coordinates in close-range photogrammetry. Proc Symp. Close-range Photogramme-try, pp. 1–18, Am. Soc. Photogrammetry (1971)

    Abdelmoty, A.I., Smart, P.D., Jones, C.B., Fu, G., Finch, D.: A criticalevaluation of ontology languages for geographical informationretrieval. J. Visual Languages Comput. 16, 331–358 (2005)

    Abel, D.J., Taylor, K., Ackland, R., Hungerford, S.: An exploration ofgis architectures for internet environments. Comp Env Urban Sys22(1), 7–23 (1998)

    Abhinandan, D., Gehrke, J., et al.: Approximation techniques for spa-tial data. Proceedings of the 2004 ACM SIGMOD internation-al conference on Management of data. Paris, France. SESSION:Research sessions: spatial data. Pgs. 695–706. (2004)

    Abiteboul, S., Hull, R.: IFO: A formal semantic database model.ACM Trans. Database Syst. 12, 525–565 (1987)

    Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases.Addison-Wesley, Reading, Massachusetts (1995)

    Abowd, G.D., Atkeson, C.G., Hong, J., Long, S., Kooper, R., Pinker-ton, M.: Cyberguide: A mobile context-aware tour guide. Wire-less Networks 3(5), 421–433 (1997)

    Abowd, G.D., Mynatt, E.D., Rodden, T.: The human experience.IEEE Pervasive Comput. 1, 48–57 (2003)

    Abraham, T., Roddick, J.F.: Survey of spatio-temporal databases.Geoinformatica 3(1): 61–99 (1999)

    Acharya, S., Gibbons, P., Poosala, V., Ramaswamy, S.: Joint synopsesfor approximate query answering. In: SIGMOD ’99: Proceedingsof the 1999 ACM SIGMOD international conference on Man-agement of data, pp. 275–286. ACM Press, New York, NY, USA(1999)

    Ackoff, R.L.: From Data to Wisdom, J. Appl. Syst. Anal. 16, 3–9(1989)

    Adam, N., Janeja, V.P., Atluri, V.: Neighborhood based detection ofanomalies in high dimensional spatio-temporal sensor datasets.In: 19th ACM Symp. on Applied Computing (2004)

    ADHS Guides to Good Practice http://ahds.ac.uk/history/creating/guides/gis/ Accessed 21 March 2007

    Aerts, J.C.J.H., Goodchild, M.F., Heuvelink, G.B.M.: Accounting forspatial uncertainty in optimization with spatial decision supportsystems. Trans. GIS 7(2), 211–230 (2003)

    Afrati, F., Cosmadakis, S., Grumbach, S., Kuper, G.: Linear versuspolynomial constraints in database query languages. In: Born-ing, A. (ed.) Proceedings of the 2nd Workshop on Principles andPractice of Constraint Programming. Lecture Notes in Comput-er Science, vol. 874, pp. 181–192 Springer-Verlag, Heildelberg(1994)

    Agarwal, P.: Contested Nature of place. In: Egenhofer, M., Freska, C.,Harvey, M. (eds.) 3rd International Conference GIScience, 2004,LNCS 3234, pp. 1–21. Springer, Berlin (2004)

    Agarwal, P., Har-Peled, S.: Maintaining Approximate Exten Mea-sures of Moving Points. In: Proceedings of the 12th ACM-SIAMSympos. Discrete Algorithms, Washington, DC, USA, 7–9 Jan2001, pp. 148–157

    Agarwal, P., Huang, Y., Dimitrova, V.:, Formal approach to recon-ciliation of individual ontologies for personalization of geospa-tial semantic web. In: Proceedings of the First International Con-ference on Geospatial Semantics, Mexico City, November 2005.Lecture Notes in Computer Science, vol. 3799, pp.202–219,Springer-Verlag, Berlin (2005)

    Agarwal, P.K., Arge, L., Erickson, J.: Indexing moving points.J. Comput. Syst. Sci. 66(1), 207–243 (2003)

    Agarwal, P.K., Arge, L., Erickson, J.: Indexing Moving Points. In:Proceedings of the 19th ACM Symp. on Principles of DatabaseSystems, Dallas, Texas, USA, 15–17 May 2000, pp. 175–186

    Agarwal, P.: Ontological considerations in GIScience. Int. J. Geogr.Inf. Sci. 19, 501–535 (2005)

    Ageenko, E.I., Frnti, P.: Compression of large binary images in digitalspatial libraries. Comput. Graphics 24, 91–98 (2000)

    Aggarwal, C.C., Agrawal, D.: On nearest neighbor indexing of non-linear trajectories. In: PODS, pp. 252–259 (2003)

    Aggarwal, C., Hinneburg, A., Keim, D.A.: On the surprising behaviorof distance metrics in high dimensional space. In: Proceedingsof the 8th International Conference on Database Theory, London,6 January 2001, pp. 420–434

    Aggett, G., McColl, C.: Breaking down barriers: geospatial deci-sion-support systems help citizens embrace community land-useplanning. Land Bulletin of the National Consortium for RuralGeospatial Innovations. University of Wisconson, Madison, WI(2006) www.ruralgis.org

    Aggett, G.R., Wilson, J.P.: Creating and coupling a high-resolutionDEM with a 1-D hydraulic model in a GIS for scenario-basedassessment of avulsion in a gravel-bed river. Geomorphology, inreview (2007)

    Agouris, P., Stefanidis, A., Gyftakis, S.: Differential Snakes forChange Detection in Road Segments. Photogramm. Eng. RemoteSens. 67(12), 1391–1399 (2001)

    Agrawaland, R., Srikant, R.: Mining sequential patterns. In: Proc. ofSIGKDD (1995)

    Agrawal, R., Faloutsos, C., Swami, A.: Efficient Similarity Search InSequence Databases. In: Lecture Notes in Computer Science, vol.730, Berlin/Heidelberg (1993)

    Agrawal, R., Skrikant, R.: Fast algorithms for mining associationrules. In: Proceedings of the 20th Intnational Conference on VeryLarge Data Bases, pp. 487–499 (1994)

    http://ahds.ac.uk/history/creating/guides/gis/http://ahds.ac.uk/history/creating/guides/gis/http://www.ruralgis.org

  • 1280 Bibliography

    Agrawal, R., Srikant, R.: Privacy-preserving data mining. In: Proc. ofthe ACM SIGMOD Conference on Management of Data, May2000, pp. 439–450. ACM Press, Dallas, Texas (2000)

    Aguirre, A.A., Ostfeld, R.S., Tabor, G.M., House, C., Pearl, M.C.:Conservation Medicine: Ecological Health in Practice. OxfordUniversity Press, Oxford (2002)

    Ahern, S., Davis, M., King, S., Naaman, M., Nair, R.: Reliable, User-Contributed GSM Cell-Tower Positioning Using Context-AwarePhotos. In: The Eighth International Conference on UbiquitousComputing (UbiComp) (2006)

    Ahlqvist, O.: Using uncertain conceptual spaces to translate betweenland cover categories. Int. J. Geogr. Inf. Sci. 19, 831–85 (2005)

    Ahl, V., Allen, T.F.H.: Hierarchy Theory – A Vision, Vocabulary, andEpistemology. Columbia University Press, New York (1996)

    Ahonen-Rainio, P., Kraak M.J.: Deciding on Fitness for Use: Evaluat-ing the Utility of Sample Maps as an element of Geospatial Meta-data. Cartography and Geographic Information Science 32(2),101–112 (2005)

    Air Release (AIRS/AFS). http://www.epa.gov/enviro/html/airs/index.html. Accesed 20 Aug 2007

    Akenine-Möller, T., Haines, E.: Real-Time Rendering, A K PetersLtd, Wellesley, MA (2002)

    Akinlar, C., Aref, W.G., Kamel, I., Mukherjee, S.: Automatic disks:The building block for a scalable distributed file system. In: Proc.of the 5th Intl. Workshop on Multimedia Information Systems,MIS, Palm Springs Desert, October 1999

    Alavi, B., Pahlavan, K.: Indoor geolocation distance error model-ing with UWB channel measurements. In: Proceedings of theIEEE Personal Indoor Mobile Radio Communications Confer-ence (PIMRC), Berlin, 11–14 September 2005

    Albert, R., Barabasi, A.: Statistical mechanics of complex networks.Rev. Mod. Phys. 74, 47–97 (2002)

    Albertz, J.: 90 Jahre Deutsche Gesellschaft für Photogramme-trie und Fernerkundung e.V. Photogrammetrie-Fernerkundung-Geoinformation PFG 5(1999), pp. 293–349 (1985)

    Albowicz, J., Chen, A., Zhang, L.: Recursive position estimation insensor networks. In: IEEE Int. Conf. Net. Proto. Nov 2001, pp.35–41 (2001)

    Alexander, C., Ishikawa, S., Silverstein, M.: A Pattern Language –Towns, Buildings, Construction. Oxford University Press, NewYork (1977)

    The Algorithm Design Manual. Nearest Neighbor Search. Jun. 2(1997)

    Ali, M., Goovaerts, P., Nazia, N., Haq, M.Z., Yunus, M., Emch,M.: Application of Poisson kriging to the mapping of choleraand dysentery incidence in an endemic area of Bangladesh. Int.J. Health Geogr., 5, article 45 (2006)

    Ali, W., Moulin, B.: 2D-3D Multi-Agent Geo-Simulation withKnowledge-Based Agents of Customers’ Shopping Behavior ina Shopping Mall. In: Cohn, A.G., Mark, D.M. (eds.) Spatial Infor-mation Theory, p. 445–458. Springer, Berlin (2005)

    Allen, G.: Applied Spatial Cognition: From Research to Cogni-tive Technology. Lawrence Erlbaum Associates, Mahwah NJ(2007)

    Allen, G.L.: Spatial abilities, cognitive maps, and wayfinding: Basesfor individual differences in spatial cognition and behavior. In:Golledge R.G. (ed.) Wayfinding behavior: Cognitive mappingand other spatial processes, pp. 46–80. The Johns Hopkins Uni-versity Press, Baltimore (1999)

    Allen, J.F.: Maintaining knowledge about temporal intervals. In:Communications of the ACM, 26(11), pp. 832–843. ACM Press,New York, NY, USA (1983)

    Allen, J.: Towards a general theory of action and time. Artif. Intell.23, 123–54 (1984)

    Almeida, V., Güüting, R.: Supporting uncertainty in moving objectsin network databases. In: Proc. GIS, 2005

    Almeida, V.T., Güting, R.H., Behr, T.: Querying moving objects inSECONDO. In: Proceedings of the Mobile Data ManagementConference, Nara, Japan, pp. 47–51 (2006)

    de Almeida, V.T., Güting, R.H.: Indexing the trajectories of movingobjects in networks. GeoInformatica, 9(1) (2005).

    De Almeida, V.T., Güting, R.H.: Using Dijkstra’s Algorithm toIncrementally Find the k-Nearest Neighbors in Spatial NetworkDatabases, In: Proc. ACM Symposyum on Apagesied Comput-ing, pp. 58–62 (2006)

    Alsnih, R., Stopher, P.R.: Review of Procedures Associated WithDevising Emergency Evacuation Plans. Transportation ResearchRecord. pp. 89–97. Transportation Research Board, Washing-ton, DC (2004)

    Altheide, P.: GIS Data Conversions. Strategies, Techniques, Manage-ment, (ed.) Pat Hohl. Chapter 15 Spatial Data Transfer Standards,pp. 318–354, Onword Press, Santa Fe, NM (1998)

    Altschul, S. F., Gish, W., Miller, W., Myers, E.W., Lipman D.J.:A basic local alignment search tool. Journal of Molecular Biolo-gy 215(3), 403–410 (1990)

    Amaral, S., Monteiro, A.M.V., Câmara, G., Quintanilha, J.A.: Evo-lution of the Urbanization Process in the Brazilian Ama-zonia In: Levine, N. (ed.) CrimeStat III: A Spatial Statis-tics Program for the Analysis of Crime Incident Locations(version 3.0), Chapter 8. Ned Levine & Associates and theNational Institute of Justice, Houston, TX, Washington, DC(2004)

    American Congress on Surveying and Mapping: The Proposed Stan-dard for Digital Cartographic Data. Am. Cartogr. 15(1), entireissue (1988)

    American Forests: CITYgreen: Calculating the Value of Nature,Version 5.0 User’s Manual, American Forests, Washington,D.C., See also http://www.americanforests.org/productsandpubs/citygreen/ (2002)

    American National Standards Institute, National Committee for Infor-mation Technology Standards: ANSI NCITS 320-1998, SpatialData Transfer Standard Parts 1–4

    Ames, D.P.: Bayesian Decision Networks for Watershed Manage-ment. Utah State University, Logan, UT (2002)

    Ames, D.P., Neilson, B.T., Stevens, D.K., Lall, U.: Using Bayesiannetworks to model watershed management decisions: an EastCanyon Creek case study. IWA Publishing, J. Hydroinform.(2005)

    Ameskamp, M.: Three-dimensional Rule-based Continuous SoilModelling. PhD thesis, Christian-Albrechts-Universitaet Kiel(1997)

    Analytical CRM software opens up new worlds to mar-keters, by Paul Thompson, June 17 (2002) http://www.strategymag.com/articles/d+i/20020617/dicrmanalytical.html?word=Analytical&word=CRM&word=Software

    Anders, K.-H., Bobrich, J.: MRDB Approach for Automatic Incre-mental Update. Paper presented at the ICA Workshop onGeneralization and Multiple Representation, Leicester, 20–21August 2004. Available via: http://ica.ign.fr/Leicester/paper/Anders-v1-ICAWorkshop.pdf. Accessed 12 Feb 2007

    Anderson, J.R., Hardy, E.E., Roach, J.T., Witmer, R.E.: A Land Useand Land Cover Classification System For Use With Remote Sen-sor Data. USGS Professional Paper 964 (1976)

    http://www.epa.gov/enviro/html/airs/index.htmlhttp://www.epa.gov/enviro/html/airs/index.htmlhttp://www.americanforests.org/productsandpubs/citygreen/http://www.americanforests.org/productsandpubs/citygreen/http://www.strategymag.com/articles/d+i/20020617/dicrmanalytical.html?word=Analytical�egingroup uppercase {count@ 38}elax elax uccode `unhbox voidb@x �group let unhbox voidb@x setbox @tempboxa hbox {count@ global mathchardef accent@spacefactor spacefactor }accent 3 count@ egroup spacefactor accent@spacefactor uppercase {gdef 0{~}}endgroup 0word=CRM�egingroup uppercase {count@ 38}elax elax uccode `unhbox voidb@x �group let unhbox voidb@x setbox @tempboxa hbox {count@ global mathchardef accent@spacefactor spacefactor }accent 3 count@ egroup spacefactor accent@spacefactor uppercase {gdef 0{~}}endgroup 0word=Softwarehttp://www.strategymag.com/articles/d+i/20020617/dicrmanalytical.html?word=Analytical�egingroup uppercase {count@ 38}elax elax uccode `unhbox voidb@x �group let unhbox voidb@x setbox @tempboxa hbox {count@ global mathchardef accent@spacefactor spacefactor }accent 3 count@ egroup spacefactor accent@spacefactor uppercase {gdef 0{~}}endgroup 0word=CRM�egingroup uppercase {count@ 38}elax elax uccode `unhbox voidb@x �group let unhbox voidb@x setbox @tempboxa hbox {count@ global mathchardef accent@spacefactor spacefactor }accent 3 count@ egroup spacefactor accent@spacefactor uppercase {gdef 0{~}}endgroup 0word=Softwarehttp://www.strategymag.com/articles/d+i/20020617/dicrmanalytical.html?word=Analytical�egingroup uppercase {count@ 38}elax elax uccode `unhbox voidb@x �group let unhbox voidb@x setbox @tempboxa hbox {count@ global mathchardef accent@spacefactor spacefactor }accent 3 count@ egroup spacefactor accent@spacefactor uppercase {gdef 0{~}}endgroup 0word=CRM�egingroup uppercase {count@ 38}elax elax uccode `unhbox voidb@x �group let unhbox voidb@x setbox @tempboxa hbox {count@ global mathchardef accent@spacefactor spacefactor }accent 3 count@ egroup spacefactor accent@spacefactor uppercase {gdef 0{~}}endgroup 0word=Softwarehttp://ica.ign.fr/Leicester/paper/Anders-v1-ICAWorkshop.pdfhttp://ica.ign.fr/Leicester/paper/Anders-v1-ICAWorkshop.pdf

  • Bibliography 1281

    Anderson, N.H., Titterington, D.M.: Some methods for investigatingspatial clustering, with epidemiological applications. J. R. Stat.Soc. 160, 87–105 (1997)

    Anderson, S.: Aggregation estimation for 2D moving points. 13thInternational Symposium on Temporal Representation and Rea-soning, IEEE Press, Washington (2006)

    Andersson, M., Gudmundsson, J., Laube, P., Wolle T.: Reportingleadership patterns among trajectories. In: Proceedings of the2007 ACM Symposium on Applied Computing, pp. 3–7. ACMPress, New York (2007)

    Andoni, A., Indyk, P.: Near-optimal hashing algorithms for approxi-mate nearest neighbor in high dimensions. In: Proceedings of theSymposium on Foundations of Computer Science, pp. 459–468(2006)

    Andrienko, N.V., Andrienko, G.L.: Interactive maps for visual dataexploration. Int. J. Geogr. Inf. Sci. 13(4), 355–374 (2003)

    Anez, J., de la Barra, T., Perez, B.: Dual Graph Representation ofTransport Networks. Transp. Res. 30(3), 209–216 (1996)

    Ang, C.-H., Tan, T.C.: New linear node splitting algorithm for r-trees.In: Proc. of Symposium on Advances in Spatial Databases (SSD),Berlin, Germany, 15–18 July 1997, pp. 339–349

    Anne, M., Crowley, J.L., Devin, V., Privat, G.: Localisation intra-bâtiment multitechnologies: RFID, Wi-Fi, vision. In: Proceedingsof Ubimob 2005, Grenoble, France, 2005, Vol.120, pp. 29—35

    Anonymous: The free software definition. http://www.fsf.org/licensing/essays/free-sw.html (2006). Accessed 26 Apr 2006

    Anonymous: Sequence alignment software. http://en.wikipedia.org/wiki/Sequence_alignment_software (2007). Accessed

    Anonymous: VT Conference Puts New Research Area on theMap; GIS Expert Michael Goodchild Echoes Its Value. https://www.vbi.vt.edu/article/articleview/48/1/15/ (2007). Accessed05 March 2007

    Anselin, L.: Exploratory spatial data analysis and geographic infor-mation systems. In: New Tools for Spatial Analysis, p. 45–54.Eurostat, Luxemburg (1994)

    Anselin, L.: Local indicators of spatial association: Lisa. Geogr. Anal.27(2):93–115 (1995)

    Anselin, L.: Spatial Econometrics: Methods and Models. KluwerAcademic, Dordrecht (1988)

    Anselin, L.: Under the hood Issues in the specification and interpre-tation of spatial regression models. Agricul. Econ. 27(3), 247(2002)

    Anselin, L.: Under the Hood: Issues in the Specification and Inter-pretation of Spatial Regression Models. http://sal.uiuc.edu/users/anselin/papers.html (2002)

    Antoniou, G., Harmelen, F.: A Semantic Web Primer. MIT Press,Cambridge, MA (2004)

    Aoki., P.M.: Generalizing “search” in generalized search trees(extended abstract). In: ICDE, pp. 380–389 (1998)

    Apple Developer Connection: What Is Performance? (2006) http://developer.apple.com/documentation/Performance/Conceptual/PerformanceOverview/DevelopingForPerf/chapter_2_section_2.html. Accessed 29 Aug 2007

    Apple. Human Interface Guidelines: The Apple Desktop Interface,Apple Computer, Inc. Addison-Wesley Publishing, Reading, MA(1987)

    Appletgate, D., Bixby, R., Chvátal, V., Cook, W.: On the solution oftraveling salesman problems. Documenta Mathematica Journalder Deutschen Mathematiker-Vereinigung International Congressof Mathematicians, (1998)

    Arampatzis, A., van Kreveld, M., Reinbacher, I., Jones, C.B., Vaid, S.,Clough, P.D., Joho, H., Sanderson, M.: Web-based delineation

    of imprecise regions. J. Comput. Environ. Urban Syst. (CEUS)30(4) (2006)

    Arasu, A., Babcock, B., Babu, S., Datar, M., Ito, K., Nishizawa, I.,Rosenstein, J., Widom, J.: STREAM: The Stanford stream datamanager. In: Proceedings of the 2003 ACM SIGMOD Interna-tional Conference on Management of Data, San Diego, Califor-nia, 2003, p. 665

    Arasu, A., Cho, J., Garcia-Molina, H., Paepcke, A., Raghavan, S.:Searching the web. ACM Trans. Internet Technol. 1, 2–43 (2001)

    Arbia, G., Griffith, D.A., Haining, R.P.: Spatial error propagationwhen computing linear combinations of spectral bands: the caseof vegetation indices. Environ. Ecol. Stat. 10, 375–396 (2003)

    Arbia, G.: Statistical effect of data transformations: a proposed gener-al framework. In: Goodchild, M.F., Gopal, S. (eds.) The accuracyof spatial databases, 249–259. Taylor & Francis, London (1989)

    Ardagna, C.A., Cremonini, M., Damiani, E., De Capitani di Vimer-cati, S., Samarati, P.: Supporting location-based conditions inaccess control policies. In: Proceedings of ASIACCS’06, March21–24, 2006, Taipei, Taiwan

    Ardekani, S.A.: A Decision Tool for Transportation Operations Fol-lowing Urban Disasters, Final Report. National Science Founda-tion. The University of Texas at Arlington, Arlington (1992)

    Ardekani, S.A., Hobeika, A.: Logistics Problems in the Aftermath ofthe 1985 Mexico City Earthquake. Transp. Q. 42, 107–124 (1988)

    Aref, W.G., Ilyas, I.F.: An extensible index for spatial databases. In:SSDBM, pp. 49–58 (2001)

    Aref, W.G., Kamel, I., Ghandeharizadeh, S.: Disk scheduling invideo editing systems. IEEE Trans. Knowl. Data Eng., TKDE13(6),933–950 (2001)

    Argyle, M.: Bodyly Communication. Methuen & Co., London (1975)Armitage, L.H., Enser, P.G.B.: Analysis of user need in image

    archives. J. Inf. Sci. 23(4): 287–299 (1997)Armstrong, M.P., Cowles, M.K., Wang, S.: Using a computational

    grid for geographic information analysis: a reconnaissance. Prof.Geogr. 57, 365–375 (2005)

    Armstrong, A.P., Densham, P.J.: Database organization strategies forspatial decision support systems. Int. J. Geogr. Inf. Sys. 4(1),3–20 (1990)

    Arora, S.: Polynomial-Time Approximation Schemes for EuclideanTSP and other Geometric Problems. J. ACM 45(5), 753–782(1998)

    Arpinar, A., Sheth, A., Ramakrishnan, C.: Geospatial OntologyDevelopment and Semantic Analytics. In: Wilson, J.P., Fother-ingham, A.S. (eds.) Handbook of Geographic Information Sci-ence, Blackwell Publishing, Boston (2004)

    Arthur, P., Passini, R.: Wayfinding: People, Signs, and Architecture,238. McGraw-Hill Ryerson, Toronto (1992)

    Arulampalam, M.S., Maskell, S., Gordon, N., Clapp, T.: A tutorial onparticle filters for online nonlinear/non-Gaussian Bayesian track-ing. IEEE Trans. Signal Process. 50, 174–188 (2002)

    Arunasalam, B., Chawla, S., Sun, P.: Striking two birds with onestone: Simultaneous mining of positive and negative spatial pat-terns. In: Proceedings of 2005 SIAM International Conference onData Mining SDM05, to appear (2005)

    Arya, S., Mount, D., Netanyahu, N., Silverman, R., Wu, A.: Anoptimal algorithm for approximate nearest neighbor searching.J. ACM 45(6), 891–923 (1998)

    Asano, T., Ranjan, D., Roos, T., Welzl, E., Widmayer, P.: Space-fillingcurves and their use in the design of geometric data structures.Theor. Comput. Sci., TCS 181(1), 3–15 (1997)

    Asher, N., Lang, J.: When nonmonotonicity comes from distance.In: Nebel, B., Dreschler-Fischer, L. (eds.): KI-94: Advances in

    http://www.fsf.org/licensing/essays/free-sw.htmlhttp://www.fsf.org/licensing/essays/free-sw.htmlhttp://en.wikipedia.org/wiki/Sequence_alignment_softwarehttp://en.wikipedia.org/wiki/Sequence_alignment_softwarehttps://www.vbi.vt.edu/article/articleview/48/1/15/https://www.vbi.vt.edu/article/articleview/48/1/15/http://sal.uiuc.edu/users/anselin/papers.htmlhttp://sal.uiuc.edu/users/anselin/papers.htmlhttp://developer.apple.com/documentation/Performance/Conceptual/PerformanceOverview/DevelopingForPerf/chapter_2_section_2.htmlhttp://developer.apple.com/documentation/Performance/Conceptual/PerformanceOverview/DevelopingForPerf/chapter_2_section_2.htmlhttp://developer.apple.com/documentation/Performance/Conceptual/PerformanceOverview/DevelopingForPerf/chapter_2_section_2.htmlhttp://developer.apple.com/documentation/Performance/Conceptual/PerformanceOverview/DevelopingForPerf/chapter_2_section_2.html

  • 1282 Bibliography

    Artificial Intelligence. pp. 308–318. Springer-Verlag, Heidelberg(1994)

    Ash, J.N., Moses, R.L.: Outlier compensation in sensor network self-localization via the EM algorithm. In: IEEE ICASSP, March19–23, (2005)

    Ash, J.N., Potter, L.C.: Sensor network localization via received sig-nal strength measurements with directional antennas. In: Pro-ceedings of the 2004 Allerton Conference on Communication,Control, and Computing (2004)

    Ashraful, A., Thuraisingham, B.: Geospatial resource descriptionframework (GRDF) and secure GRDF. Tech. Rep. UTDCS-03–06, University of Texas at Dallas (2006) http://www.cs.utdallas.edu

    Asif, Z.: Integrating the supply chain with RFID: A technicaland business analysis. Commun. Assoc. Inf. Syst. 15, 393–427(2005)

    Asrar, G., Dozier, J.: EOS: Science Strategy for the Earth Observ-ing System.American Institute of Physics Press, Woodbury, NewYork (1994)

    Asrar, G., Greenstone, R.: MTPE EOS Reference Handbook, NASAGoddard Space Flight Center, Greenbelt, MD (1995)

    Assessing the Homeland Security Implications of Publicly AvailableGeospatial Information. Rand Report for NGA (2004)

    Asthana, A., Cravatts, M., Krzyzanowski, P.: An indoor wireless sys-tem for personalized shopping assistance. In: IEEE Workshop onMobile Computing Systems and Applications, pp. 69–74. SantaCruz, California (1994)

    Athitos, V.: Approximate Nearest Neighbor Retrievel UsingEuclidean Embeddings. Approximate Nearest Neighbors Meth-ods for Learning and Vision. Dec 13 (2003)

    Atkinson, K.B. (ed.): Close Range Photogrammetry And MachineVision. Whittles, Caithness, UK (1996)

    Atkinson, P.M., Webster, R., Curran, P.J.: Cokriging with airborneMSS imagery. Remote Sens. Environ. 50, 335–345 (1994)

    Atkinson R, Fitzke J (ed) (2006) Gazetteer Service Profile of theWeb Feature Service Implementation Specification. OpenGISProject Document 05-035r2. http://portal.opengeospatial.org/files/?artifact_id=15529

    Atluri, V., Adam, N., Youssef, M.: Towards a unified index schemefor mobile data and customer profiles in a location-based serviceenvironment. In: Proceedings of theWorkshop on Next Genera-tion Geospatial Information (NG2I’03), Cambridge, MA, USA19–21 Oct 2003

    Atluri, V., Chun, S.: An authorization model for geospatial data. IEEETrans. Dependable Sec. Comput. 1, 238–254 (2004)

    Atluri, V., Chun, S.A.: A geotemporal role-based authorization sys-tem. Int. J. Inf. Comput. Security (in press, 2007)

    Atluri, V., Guo, Q.: STAR-Tree: An index structure for efficient eval-uation of spatiotemporal authorizations. In: IFIP TC11/WG 11.3Eighteenth Annual Conference on Data and Applications Securi-ty, Sitges, Catalonia, Spain, 25–28 2004

    Atluri, V., Guo, Q.: Unified index for mobile object data and autho-rizations. In: ESORICS, Milan, Italy, 12–14 2005

    Atluri, V., Mazzoleni, P.: Uniform indexing for geospatial dataand authorizations. In: DBSec, Kings College, Cambridge, UK,28–31 July 2002

    Atluri, V., Shin, H.: Efficient enforcement of security policies basedon tracking of mobile users. In: DBSec, Sophia, Antipolis,France, 31 Aug 2006

    Augustinraj, R.: A Study of Spatiotemporal Health Effects due toWater Lead Contamination. M.S. Thesis, University of NorthCarolina (2002)

    Aurenhammer, F.: Voronoi diagrams survey of a fundamental geo-metric data structure. In: ACM Computing Surveys, vol. 23, pp.345–405. (1991)

    Autodesk Geospatial (http://images.autodesk.com/adsk/files/autodesk_geospatial_white_paper.pdf)

    Autodesk, Inc.: Map 3D 2007 Essentials. Autodesk Press, San Rafael(2007)

    Avery, T.E., Berlin, G.L.: Interpretation of Aerial Photographs. 4thedn. Burgess Publishing, Minneapolis, MN (1985)

    Avoine, G., Oechslin, P.: Financial Cryptography and Data Security,In: RFID traceability: A multilayer problem, Lecture Notes inComputer Science, vol. 3570, pp. 125–140. Springer (2005)

    Axelrod, R.: The Evolution of Cooperation. Basic Books, Princeton(1997)

    Aydin, G., Sayar, A., Gadgil, H., Aktas, M.S., Fox, G.C., Ko, S.,Bulut, H., Pierce, M.E.: Building and applying geographicalinformation system grids. In: Proceedings of GGF15 Workshop,Boston, MA, 3–6 Oct 2005

    Babcock, G., Babu, S., Datar, M., Motwani, R., Widom, J.: Modelsand issues in data stream systems. In: ACM Symposium on Prin-ciples of Database Systems (PODS), Madison, Wisconsin, 2002,pp. 1–16

    Badard, T., Braun, A.: OXYGENE: A platform for the developmentof interoperable geographic applications and web services. In:Proceedings of the 15th International Workshop on Database andExpert Systems Applications (DEXA’04), Zaragoza, Spain, 30Aug–3 Sept 2004

    Baddeley, A., Turner, R.: Spatstat: An r package for anayzing spatialpoint patterns. J. Stat. Softw. 12, 1–42 (2003)

    Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval.Addison-Wesley Longman Publishing Co. Inc., Boston, MA,USA (1999)

    Bahl, P., Padmanabhan, V.N.: RADAR: An in-building RF-based userlocation and tracking system. In: Proceedings of the IEEE INFO-COM 2000, Tel Aviv, Israel, 26–30 March 2000

    Bailey-Kellogg, C., Ramakrishnan, N., Marathe, M.V.: Spatial DataMining for Pandemic Preparedness. ACM SIGKDD Explorations8(1), 80–82 (2006)

    Bailey, T.C., Gatrell, A.C.: Interactive Spatial Data Analysis. PrenticeHall, Harlow, UK (1995)

    Bakeman, R., Gottman, J.M.: Observing Interaction. Cambridge Uni-versity Press, Cambridge, New York (1997)

    Baker, J.C., Lachman, B.E., Frelinger, D.R., O’Connell, K., Hou, A.,Tseng, M., Orletzky, D., Yost, C.: Mapping the Risks: Assess-ing the Homeland Security Implications of Publicly AvailableGeospatial Information. Rand Corporation, Santa Monica, CA(2004)

    Baker, J.C., O’Connell, K.M., Willamson, R.A. eds:. CommercialObservation Satellites - At the Leading Edge of Global Trans-parency, Rand Corporation:Arlington, VA (2001)

    Baker, W.L., Weisberg, P.J.: Using GIS to model tree populationparameters in the rocky mountain national park forest-tundra eco-tone. J. Biogeogr. 24, 513–526 (1997)

    Balakrishnan, P., et al.: Comparative performance of the FSCL neuralnet and K-means algorithm for market segmentation. Eur. J. Oper.Res. 93(2), 346–357 (1996)

    Bales, R.F.: Die Interaktionsanalyse. Ein Beobachtungsverfahren zurUntersuchung kleiner Gruppen. In: König, R. (ed.) PraktischeSozialforschung II. Beobachtung und Experiment in der Sozial-forschung, pp. 148–167. Kiepenheuer & Witsch, Köln, Berlin(1962)

    http://www.cs.utdallas.eduhttp://www.cs.utdallas.eduhttp://portal.opengeospatial.org/files/?artifact_id=15529http://portal.opengeospatial.org/files/?artifact_id=15529http://images.autodesk.com/adsk/files/autodesk_geospatial_white_paper.pdfhttp://images.autodesk.com/adsk/files/autodesk_geospatial_white_paper.pdf

  • Bibliography 1283

    Bales, R.F.: Interaction process analysis. Cambridge/Mass., Cam-bridge, New York (1951)

    Balley, S., Parent, C., Spaccapietra, S.: Modelling geographic datawith multiple representation. International Journal of Geographi-cal Information Science 18(4), 327–352 (2004)

    Balram, S., Dragicevic, S.: Collaborative Geographic InformationSystems: Origins, Boundaries, and Structures. In: Balram, S.,Dragicevic, S. (eds.) Collaborative Geographic Information Sys-tems, pp. 1–22. Idea Group Publishers, Hershey, PA (2006)

    Baltsavias, E.: Object extraction and revision by image analysis usingexisting geodata and knowledge: current status and steps towardsoperational systems. ISPRS J. Photogramm. Remote Sensing 58,129–151 (2004)

    Banerjee, S., Carlin, B.P., Gelfand, A.E.: Hierarchical Modeling andAnalysis for Spatial Data. Chapman & Hall/CRC, London, BocaRaton (2004)

    Banerjee, S., Finley, A.O.: Bayesian multi-resolution modelling forspatially replicated datasets with application to forest biomassdata. J. Statistical Plann. Inference (2007). doi: 10.1016/j.jspi.2006.05.024

    Banerjee, S., Johnson, G.A.: Coregionalized single and multi-resolution spatially varying growth-curve modelling. Biometrics,62, 864–876 (2006)

    Banerjee, S.: Revisiting Spherical Trigonometry with Orthoginal Pro-jectors, College Math. J. 35(5), 375–381 (2004)

    Bansal, N., Blum, A., Chawla, S., Meyerson, A.: ApproximationAlgorithms for Deadline-TSP and Vehicle Routing with Time-Windows. In: Proc. of FOCS (2004)

    Baorzsaonyi, S., Kossmann, D., Stocker, K.: The Skyline Operator.ICDE (2001) pp. 421–430, Heidelberg, Germany

    Baraldi, A., Blonda, P.: A survey of fuzzy clustering algorithms forpattern recognition. IEEE Transactions on Systems, Man andCybernetics Parts I and II 29(6), 778–785 (1999)

    Barber, S. Beyond Performance Testing Part 2: A Perfor-mance Engineering Strategy (2004) http://www-128.ibm.com/developerworks/rational/library/4215.html. Accessed 29 Aug2007

    Barclay T, Gray J,Slutz D, (1999) Microsoft TerraServer: A Spa-tial Data Warehouse, Microsoft Technical Report, http://research.microsoft.com/users/Tbarclay/MicrosoftTerraServer_TechnicalReport.doc. Accessed 20 Aug 2006

    Bär, H.R., Sieber, R.: Towards high standard interactive atlases: theGIS and multimedia cartography approach. In: Proceedings ofthe 19th International Cartographic Conference, Ottawa, 14–21August 1999, pp. 235–241

    Barnett, V., Lewis, T.: Outliers in Statistical Data. John Wiley, NewYork (1994)

    Barrault, M., Regnauld, N., Duchene, C., Haire, K., Baeijs, C.,Demazeau, Y., Hardy, P., Mackaness, W., Ruas, A., Weibel, R.:Integrating multi agent, object oriented and algorithmic tech-niques for improved automated map generalization. In: Pro-ceedings of the 20th International Cartographic Conference, 3,2110–2116, Beijing, China (2001)

    Barrett, C., Beckman, R., Berkbigler, K., Bisset, K., Bush, B.,Campbell, K., Eubank, S., Henson, K., Hurford, J., Kubicek,D., Marathe, M., Romero, P., Smith, J., Smith, L., Speck-man, P., Stretz, P., Thayer, G., Eeckhout, E., Williams, M.D.:TRANSIMS: Transportation Analysis Simulation System. Tech-nical Report LA-UR-00–1725, Los Alamos National LaboratoryUnclassified Report. An earlier version appears as a 7 part tech-nical report series LA-UR-99-1658 and LA-UR-99-2574 to LA-UR-99–2580 (2001)

    Barrett, C., Eubank, S., Marathe, M.: Modeling and Simulation ofLarge Biological, Information and Socio-Technical Systems: AnInteraction Based Approach, to appear. In: Goldin, D., Smol-ka, S., Wegner, P. (eds.) Interactive Computation: The NewParadigm. Springer, New York (2005)

    Barrett, C., Smith, J.P., Eubank, S.: Modern Epidemiology Modeling.Sci. Am. 292(3), 54–61 (2005)

    Barry, D.: Web Services and Service-Orientated Architectures, TheSavvy Manager’s Guide, Your Road Map to Emerging IT. Mor-gan Kaufmann Publishers, San Francisco, CA. (2003)

    Barry, R.P.: The local approximation of variograms in R2 by covari-ance functions. Stat. Probab. Lett. 74, 171–177 (2005)

    Bar-Shalom, Y., Fortmann, T.E.: Tracking and data association. Math-ematics in Science and Engineering Series 179. Academic, SanDiego (1988)

    Barvinok, A., Fekete, S., Johnson, D., Tamir, A., Woeginger, G.,Woodroofe, R.: The geometric maximum traveling salesmanproblem. J. ACM (JACM) 50:(5)3, (2003)

    Barzoharand, M., Cooper, D.B.: Automatic Finding of Main Roads inAerial Images by Using Geometric Stochastic Models and Esti-mation. IEEE Transaction on Pattern. Anal. Mach. Intell. 18(7),707–721 (1996)

    Basch, J., Guibas, L.J., Hershberger, J.: Data structures for mobiledata. In: Proceedings of ACM-SIAM SODA, pp. 747–756. NewOrleans, Lousiana, USA, 5–7 Jan 1997

    Batini, C., Lenzerini, M., Navathe, S.B.: A comparative analysis ofmethodologies for database schema integration. ACM Comput.Surv. 18, 323–364 (1986)

    Battiti, R., Brunato, M., Villani, A.:. Statistical learning for loca-tion fingerprinting in wireless LANs. In: Technical Report DIT-02–0086, University of Trento, Informatic and Telecommunica-tion Department, Italy (2002)

    Batty, M.: Agents, cells, and cities: new representational models forsimulating multiscale urban dynamics. Environ. Planning A 37,1373–1394 (2005)

    Batty, M.,Desyllas, J., Duxbury, E.: The discrete dynamics of small-scale spatial events: agent-based models of mobility in carnivalsand street parades. Int. J. Geogr. Inf. Sci. 17(7), 673–697 (2003)

    Batty, M.: Planning support systems: technologies that are drivingplanning. In: Geertman, S., Stillwell, J. (eds.) Planning SupportSystems in Practice, pp. v-viii. Springer, New York, NY (2003)

    Batty P. 2004: Future Trends & the Spatial Industry – Part Two.Geospatial Solutions. Advanstar Communications, New York,September, pp. 32-35

    Bauer, M., Fabian, B., Fischmann, M., Gürses, S.: Emerging Marketsfor RFID Traces, Arxiv preprint cs.CY/0606018 (2006)

    Bayardo Jr., R.J., Agrawal, R.: Data Privacy through Optimal k-Anonymization. In: Proceedings of the International Conferenceon Data Engineering (ICDE), pp. 217–228. Tokyo, Japan (2005)

    Bayer, R., McCreight, E.M.: Organization and maintenance of largeordered indexes, pp. 107–141, SIGFIDET Workshop (1970)

    Bayer, R., McCreight, E.: Organization and maintenance of largeordered indexes. In: Software Pioneers - Contributions to soft-ware engineering, pp. 245–262 (2002)

    Beaujardiere, J. de la (eds.) (2006) OpenGIS® Web Maper Serv-er Implementation Specification, OGC doi:06-042 http://portal.opengeospatial.org/files/?artifact_id=14416

    Beaujardiere, J.: Web Mapping Service, OGC Implémentation Spé-cification http://www.portal.opengoespatial.org/files/?artifact_id=14416(2004). Accesed 9 Aug 2007

    Beccaria, C.: in Richard Davies, translator: On Crimes and Punish-ments, and Other Writings. Cambridge University Press (1764)

    http://dx.doi.org/10.1016/j.jspi.2006.05.024http://dx.doi.org/10.1016/j.jspi.2006.05.024http://www-128.ibm.com/developerworks/rational/library/4215.htmlhttp://www-128.ibm.com/developerworks/rational/library/4215.htmlhttp://research.microsoft.com/users/Tbarclay/MicrosoftTerrahttp://research.microsoft.com/users/Tbarclay/MicrosoftTerrahttp://research.microsoft.com/users/Tbarclay/MicrosoftTerrahttp://www.opengis.org/techno/specs/01-068r3.pdfhttp://www.opengis.org/techno/specs/01-068r3.pdfhttp://www.portal.opengoespatial.org/files/?artifact_id=14416lhttp://www.portal.opengoespatial.org/files/?artifact_id=14416l

  • 1284 Bibliography

    Becker, B., Gschwind, S., Ohler, T., Seeger, B., Widmayer, P.:An asymptotically optimal multiversion B-Tree. VLDB J. 5(4),264–275 (1996)

    Beckmann, N., Kriegel, H.-P., Schneider, R., Seeger, B.: The R*-tree:An efficient and robust access method for points and rectangles.In: Proc. ACM International Conference on Management of Data(SIGMOD’90), pp. 322–331. ACM Press, New York, NY, USA(1990)

    Beckman, R., Baggerly, K., McKay, M.: Creating synthetic base-linepopulations. Transportation Research Part A, Policy Pract. 30,415–429 (1996)

    Beckman, R.J., et al: TRANSIMS-Release 1.0: The Dallas-FortWorth Case Study, Technical Report LA-UR-97-4502, Los Alam-os National Laboratory (1997)

    Bédard, Y., Bernier, É.: Supporting multiple representations with spa-tial databases view management and the concept of VUEL. In:The Joint Workshop on Multi-Scale Representation of SpatialData, ISPRS WG IV/3, ICA Commission. On Map Generaliza-tion, Ottawa, Canada, 7–8 July 2002

    Bédard, Y., Caron, C., Maamar, Z., Moulin, B., Vallière, D.: AdaptingData Model for the Design of Spatio-Temporal Database. Com-put., Environ. Urban Syst. 20(l), 19–41 (1996)

    Bédard, Y., Larrivée, S.: Développement des systèmes d’informationà référence spatiale: vers l’utilisation d’ateliers de génie logiciel.CISM Journal ACSGC, Canadian Institute of Geomatics, Cana-da, 46(4), 423–433 (1992)

    Bédard, Y., Larrivée, S., Proulx, M.-J., Nadeau, M.: ModelingGeospatial Databases with Plug-Ins for Visual Languages:A Pragmatic Approach and the Impacts of 16 Years of Researchand Experimentations on Perceptory. In: Wang, S. et al. (eds.):Conceptual Modeling for Advanced Application Domains. Lec-ture Notes in Computer Science, Vol. 3289, pp. 17–30. Springer-Verlag, Berlin/Heidelberg (2004)

    Bédard, Y., Merrett, T., Han, J.: Fundamentals of geospatial datawarehousing for geographic knowledge discovery. In: Miller,H.J., Han, J. (eds.) Geographic Data Mining and Discovery,pp. 53–73. Taylor and Francis, London, UK (2001)

    Bédard, Y., Pageau, J., Caron, C.: Spatial Data Modeling: The Modul-R Formalism and CASE Technology. ISPRS Symposium, Wash-ington DC, USA, August 1st–14th (1992)

    Bédard, Y., Paquette, F.: Extending Entity/Relationship Formalism forSpatial Information Systems. AUTO-CARTO 9, 9th Internation-al Symposium on Automated Cartography, ASPRS-ACSM, Bal-timore, USA, pp. 818–827, April 2nd–7th (1989)

    Bédard, Y., Proulx, M.-J., Larrivée, S., Bernier, E.: Modeling Multi-ple Representations into Spatial Data Warehouses: A UML-basedApproach. ISPRS WG IV/3, Ottawa, Canada, July 8th–12th, p. 7(2002)

    Bédard, Y.: Visual Modeling of Spatial Database, Towards SpatialPVL and UML. Geomatica 53(2), 169–185 (1999)

    Bedient, P.B., Huber W.C., Vieux, B.E.: Hydrology and FloodplainAnalysis, 4th edn. Prentice Hall, New Jersey, USA (2007)

    Been, K., Daiches, E., Yap, C.: Dynamic map labeling. In: Proc. ofIEEE Information Visualization (2006)

    Beginning MapServer: Open Source GIS Development by Bill Kropla(Apress Publications, 2005). This book shows the use of OGC-standard services in MapServer, one of the popular developmentplatforms for integrating mapping technology into Internet appli-cations

    Beighley, R.E., Melack, M., Dunne, T.: Impacts of California’sclimatic regimes and coastal land use change on streamflow

    characteristics. J. Am. Water Resour. Assoc. 39(6), 1419–1433(2003)

    Bell, B., Feiner, S.: Dynamic space management for user interfaces.In: Proc. UIST ’00, pp. 239–248 (2000)

    Bell, B., Feiner, S., Hoellerer, T.: View management for virtual andaugmented reality. In: Proc. of UIST, pp. 101–110 (2001)

    Bell, T., Witten, I.H., Cleary, J.G.: Modeling for text compression.ACM Computing Surveys. 21, 557–591 (1989)

    Belussi, A., Bertino, E., Catania, B., Damiani, M.L., Nucita, A:An authorization model for geographical maps. http://www.informatik.uni-trier.de/~ley/db/conf/gis/gis2004.html GIS 2004

    Belussi, A., Bertino, E., Catania, B., Damiani, M.L., Nucita, A.: Anauthorization model for geographical maps. In: Proceedings ofthe12th ACM International Workshop on Geographic Informa-tion Systems, ACM-GIS, November 12–13, 2004, Washington,DC, USA, 2004

    Ben-Akiva, M.: User’s Guide for MITSIMLab and Road NetworkEditor (RNE), Massachusetts Institute of Technology, IntelligentTransportation Systems Program, November (2002)

    Ben-Akvia, M., Bierlaire, M., Koutsopoulos, H., Mishalani, R.: Dyna-MIT: a simulation-based system for traffic prediction. In: DAC-CORD Short Term Forecasting Workshop. Delft, Netherlands(1998)

    Benedikt, M., Dong, G., Libkin, L., Wong, L.: Relational expressivepower of constraint query languages. J. ACM 45(1), 1–34 (1998)

    Benedikt, M., Keisler, H.J.: Definability over linear constraints. In:Clote, P., Schwichtenberg, H. (eds.) Proceedings of ComputerScience Logic, 14th Annual Conference of the EACSL. LectureNotes in Computer Science, vol. 1862, pp. 217–231, Springer-Verlag, Heidelberg (2000)

    Benenson, I., Torrens, P. M.: Geosimulation: Automata-Based Mod-eling of Urban Phenomena. Wiley (2004)

    Benetis, R., Jensen, C.S., Karciauskas, G., Saltenis, S.: Nearest neigh-bor and reverse nearest neighbor queries for moving objects. In:Proc. IDEAS, pp. 44–53 (2002)

    Benetis, R., Jensen, C.S, Karčiauskas, G., Šaltenis, S.: Nearest andReverse Nearest Neighbor Queries for Moving Objects. TheVLDB Journal 15(3), 229–249 (2006)

    Benkert, M., Gudmundsson, J., Hübner, F., Wolle, T.: Reporting flockpatterns. In: Proceedings of the 14th European Symposium onAlgorithms. Lecture Notes in Computer Science, vol. 4168 pp.660–671. Springer, Berlin, Heidelberg (2006)

    Bennett, B.: Application of supervaluation semantics to vaguelydefined spatial concepts. In: Montello, D.R. (ed.) Spatial Infor-mation Theory: Foundations of Geographic Information Science;Proceedings of COSIT’01, volume 2205 of LNCS, pp. 108–123.Springer, Morro Bay (2001)

    Bennett, B.: What is a Forest? On the vagueness of certain geographicconcepts. Topoi 20, 189–201 (2001)

    Bennett, F., Richardson, T., Harter, A.: Teleporting - making applica-tions mobile. In: IEEE Workshop on Mobile Computing Systemsand Applications, pp. 82–84. Santa Cruz, California (1994)

    Benson, J.: LBS technology delivers information where and when itsneeded, Bus. Geogr. 9(2), 20–22 (2001)

    Bentley, J.L.: Multidimensional binary search trees used for asso-ciative searching. Communications of the ACM 18(9):509–517(1975)

    Bentley, J.L.: Multidimensional Divide-and-Conquer. Communs.ACM 23(4), 214–229 (1980)

    Bentley, J.L., Saxe, N.B.: Decomposable Searching Problems I:Static-to-Dynamic Transformations. J. Algorithms 1(4), 301–358(1980)

    http://www.informatik.uni-trier.de/~ley/db/conf/gis/gis2004.htmlhttp://www.informatik.uni-trier.de/~ley/db/conf/gis/gis2004.html

  • Bibliography 1285

    Berchtold, B., Keim, D., Kriegel, H.-P.: Using extended featureobjects for partial similarity retrieval. The VLDB Journal 6(4),333–348 (1997)

    Berchtold, S., Böhm, C., Keim, D.A., Kriegel, H.: A cost model fornearest neighbor search in high-dimensional data space. In: Pro-ceedings of ACM SIGACT-SIGMOD-SIGART Symposium onPrinciples of Database Systems (PODS), Tucson, Arizona, pp.78–86 (1997)

    Berchtold, S., Böhm, C., Kriegel, H-P.: The pyramid-technique:towards breaking the curse of dimensionality, pp. 142–153, SIG-MOD Conference, (1998)

    Berchtold, S., Böhm, C., Kriegel, H.-P.: The pyramid-tree: Break-ing the curse of dimensionality. In: Haas, L.M., Tiwary, A.(eds.) SIGMOD 1998, Proceedings ACM SIGMOD Internation-al Conference on Management of Data, June 2–4, 1998, Seat-tle, Washington, USA, pp. 142–153. ACM Press, New York(1998)

    Berchtold, S., Keim, D., Kriegel, H.P.: The X-tree: An index structurefor high-dimensional data. In: Proc. 22th International Confer-ence on Very Large Databases (VLDB’96), pp. 28–39. MorganKaufmann, San Francisco, CA, USA (1996)

    Beresford, A.R.: Location privacy in ubiquitous computing. In: Tech-nical Report No. 612 UCAM-CL-TR-612, University of Cam-bridge, Computer Laboratory, UK (2005)

    Beresford, A.R., Stajano, F.: Location Privacy in Pervasive Com-puting. IEEE Pervasive Computing 2(1):46–55 January–March(2003)

    Beresford, A., Stajano, F.: Mix zones: User privacy in location-aware services. In: IEEE Workshop on Pervasive Computing andCommunication Security (PerSec), pp. 127–131. IEEE ComputerSociety, Washington, DC, USA (2004)

    Berggren, J.L., Jones A.: Ptolemy’s Geography. Princeton UniversityPress, Princeton (2000)

    Berghel, H.: The client’s side of the world wide web. Communicationsof the ACM 39(1), 30–40 (1996)

    Berg Insight, Press Release, Directions Magazine, November 15,(2006)

    de Berg, M., van Kreveld, M., Overmars, M., Schwarzkopf, O.: Com-putational Geometry: Algorithms and Applications. Springer-Verlag, Heidelberg (2000)

    Berliner, L.M.: Hierarchical Bayesian time series models. In: Hanson,K., Silver, R. (eds.) Maximum Entropy and Bayesian Methods,pp. 15–22. Kluwer Academic Publishers, Dordrecht (1996)

    Berman, F., Hey, A., Fox, G.: Grid Computing: Making The GlobalInfrastructure a Reality. Wiley, Indianapolis, IN, USA (2003)

    Bernardinelli, L., Clayton, D.G., Pascutto, C., Montomoli, C., Ghis-landi, M., Songini, M.: Bayesian analysis of space-time variationin disease risk. Stat. Med. 14, 2433–2443 (1995)

    Bernard, L., et al.: Towards an SDI Research Agenda. 11 EC-GISWorkshop. Alghero, Sardinia (2005)

    Berndt, D., Clifford, J.: Using dynamic time warping to find patternsin time series. In AAAI Workshop on Knowledge Discovery inDatabases, pp. 229–248 (1994)

    Berners-Lee, T.: (1998) The Semantic Web Road Map. World WideWeb Consortium W3C Draft. http://www.w3.org/DesignIssues/Semantic

    Berners-Lee, T. (2000) Semantic Web on XML. In: XML 2000.Available via. http://www.w3.org/2000/Talks/1206-xml2k-tbl/slide1-0.html. Accessed 21 March 2007

    Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web: a newform of web content that is meaningful to computers will unleasha revolution of new possibilities. Sci. Am. 284, 34–43 (2001)

    Bernhardsen, T.: Geographic information systems: an introduction,3rd ed. John Wiley & Sons, New York (2002)

    Bernstein, P.A., Giunchiglia, F., Kementsietsidis, A., Mylopoulos,J., Serafini, L., Zaihrayeu, I.: Data management for peer-to-peercomputing: a vision. In: International Workshop on the Web andDatabases (WebDB) 2002, June 6–7, Madison, WI

    Berre, A.J.: Geospatial Services. ISO/TC211 WG4 No. 43 (1996)Berry, B.J.L., Marble, D.F. (eds.): Spatial Analysis: A Reader in Sta-

    tistical Geography. Prentice Hall, Englewood Cliffs, NJ (1968)Berterretche, M., Hudak, A.T., Cohen, W.B., Maiersperger, T.K.,

    Gower, S.T., Dungan, J.: Comparison of regression and geosta-tistical methods for mapping Leaf Area Index (LAI) with Land-sat ETM+ data over a boreal forest. Remote Sens. Environ. 96,49–61 (2005)

    Bertin, J.: Semiology Graphique. Mouton, The Hague (1967)Bertino, E., Catania, B., Damiani, M.L., Perlasca, P.: GEO-RBAC:

    a spatially aware RBAC. In: Proceedings of the Tenth Symposiumof ACM Access Control Technologies, SACMAT ’05, ScandicHasselbacken, Stockholm, June 1–3, 2005

    Bertino, E., Damiani, M.L., Momini, D.: An access control systemfor a web map management service. In: Proceedings of the 14thInternational Workshop on Research Issues on Data Engineering,RIDE ’04, Boston, USA, March 28–29, 2004

    Bertolotto, M., Egenhofer, M.J.: Progressive transmission of vec-tor map data over the World Wide Web. GeoInformatica 5(4),345–373 (2001)

    Bertolotto, M., Egenhofer, M.J.: Progressive vector transmission. In:Proceedings of the 7th International Symposium on Advances inGIS, Kansas City, Nov 1999

    Besag J., Newell, J.: The detection of clusters in rare diseases. J. R.Stat. Soc. Series A 154, 143–155 (1991)

    Besag, J.: Spatial interactions and the statistical analysis of lattice sys-tems (with discussion). J. Royal Stat. Soc., Series B 36, 192–236(1974)

    Besag, J., York, J.C., Mollie, A.: Bayesian image restoration, with twoapplications in spatial statistics (with discussion) Ann. Inst. Stat.Math. 43, 1–59 (1991)

    Bestavros, A.: WWW traffic reduction and load balancing throughserver-based caching. IEEE Concurrency: Spec. Issue ParallelDistrib. Technol. 5, pp. 56–67 (1997)

    Best Practices for Managing Geospatial Data (http://images.autodesk.com/adsk/files/%7B574931BD-8C29-4A18-B77C-A60691A06A11%7D_Best_Practices.pdf)

    Bettini, C., Mascetti, S., Wang, X.S., Jajodia, S.: Anonymity inLocation-based Services: Towards a General Framework. In:Proc. of the 8th International Conference on Mobile Data Man-agement (MDM). IEEE Computer Society (2007)

    Bettini, C., Wang, X.S., Jajodia, S.: Protecting privacy againstlocation-based personal identification. In: Jonker, W.,Petkovic, M. (eds.) Secure Data Management, Lecture Notes inComputer Science, vol. 3674, pp. 185–199. Springer (2005)

    Beyer, K., Goldstein, J., Ramakrishnan, R., Shaft, U.: When is ‘Near-est Neighbor’ Meaningful? Lecture Notes in Computer Science(1999)

    Bhaduri, B., Bright, E., Coleman, P., Dobson, J.: LandScan: locatingpeople is what matters. Geoinformatics 5, 34–37 (2002)

    Bhandarkar, S.M., Koh, J., Suk, M.: Multi scale image segmenta-tion using a hierarchical self-organizing map. Neurocomputing14, 241–272 (1997)

    Bhatti, A.U., Mulla, D.J., Frazier, B.E.: Estimation of soil proper-ties and wheat yields on complex eroded hills using geostatistics

    http://www.w3.org/DesignIssues/Semantichttp://www.w3.org/DesignIssues/Semantichttp://www.w3.org/2000/Talks/1206-xml2k-tbl/slide1-0.htmlhttp://www.w3.org/2000/Talks/1206-xml2k-tbl/slide1-0.htmlhttp://images.autodesk.com/adsk/files/%7B574931BD-8C29-4A18-B77C-A60691A06A11%7D_Best_Practices.pdfhttp://images.autodesk.com/adsk/files/%7B574931BD-8C29-4A18-B77C-A60691A06A11%7D_Best_Practices.pdfhttp://images.autodesk.com/adsk/files/%7B574931BD-8C29-4A18-B77C-A60691A06A11%7D_Best_Practices.pdf

  • 1286 Bibliography

    and thematic mapper images. Remote Sensing Environ. 37(3),181–191 (1991)

    Bially, T.: Space-filling curves. Their generation and their applica-tion to bandwidth reduction. IEEE Trans. on Information Theory15(6), 658–664 (1969)

    Bibel, B.: Arrest Locations as a Means for Directing Resources. In:Levine, N. (ed.) CrimeStat III: A Spatial Statistics Program forthe Analysis of Crime Incident Locations (version 3.0), Chap-ter 6. Ned Levine & Associates and the National Institute of Jus-tice, Houston, TX, Washington, DC (2004)

    Biggs, N.L., Lloyd, E.K., Wilson, R.J.: Graph Theory 1736–1936.Oxford University Press, Oxford (1976)

    Biggs, N.L., Lloyd, E.K., Wilson, R.J.: Graph Theory. Oxford Uni-versity Press, Oxford (1998)

    Bimonte, S., Tchounikine, A., Miquel, M. Towards a spatial multidi-mensional model. In Proceedings of the 8th ACM InternationalWorkshop on Data Warehousing and OLAP, November 4–5, pp.39–46. Bremen, Germany (2005)

    Birk R., Frederick, M., Dewayne, L.C., Lapenta, M.W.: NASA’sApplied Sciences Program: transforming research results intooperational success. Earth Imaging J. 3(3), 18–23 (2006)

    Bishr, Y.: Overcoming the semantic and other barriers to GIS interop-erability. Int. J. Geogr. Inf. Sci. 12(4), 299–314 (1998)

    Bishr, Y.: Semantic Aspects of GIS. ITC, (1997)Bithell, M., Macmillan, W.D.: Escape from the cell: Spatially explicit

    modeling with and without grids. Ecol. Modelling 200, 59–78(2007)

    Bittner, T.: Approximate qualitative temporal reasoning. Annals ofMathematics and Artificial Intelligence 35(1–2), 39–80 (2002)

    Bittner, T.: On ontology and epistemology of rough location. In: Frek-sa, C., Mark, D.M. (eds.) Spatial Information Theory – Cognitiveand Computational Foundations of Geographic Information Sci-ence, number 1661 in Lecture Notes in Computer Science, pp.433–448. Springer, Proceedings of COSIT’99 (1999)

    Bittner, T., Stell, J.G.: Approximate qualitative spatial reasoning. Spa-tial Cognition and Computation 2(4), 435–466 (2002)

    Bittner, T., Stell, J.G.: Rough sets in qualitative spatial reasoning. In:Rough Sets and Current Trends in Computing, Banff, October2000, Proceedings, volume 2005 of Lecture Notes in ComputerScience, pp. 445–453. Springer, Heidelberg (2001)

    Bittner, T., Stell, J.G.: Stratified rough sets and vagueness. In: Kuhn,W., Worboys, M., Impf, S. (eds.) Spatial Information The-ory. Cognitive and Computational Foundations of Geograph-ic Information Science. International Conference COSIT’03,pp. 286–303. Springer, Berlin (2003)

    Bittner, T., Stell, J.G.: Vagueness and rough location. GeoInformatica6, 99–121 (2002)

    Bivand, R.S.: Integrating grass 5.0 and r: GIS and modern statisticsfor data analysis. 7th Scandinavian Research Conference on Geo-graphical Information Science. Aalborg, Denmark (1999)

    Bivand, R.S., Neteler, M.: Open source geocomputation: using the rdata analysis language integrated with grass GIS and postgresqldata base systems (2000)

    Bivand, R.S.: Using the r statistical data analysis language on grass5.0 GIS database files. Comp. & Geosci. 26, 1043–1052 (2000)

    Black, P.E. Quadtree. In: Dictionary of Algorithms and Data Struc-tures. NIST Available via: http://www.nist.gov/dads/HTML/quadtree.html (2006)

    Blaer, P.: Robot path planning using generalized voronoi diagrams.http://www.cs.columbia.edu/~pblaer/projects/path_planner/

    Block, C.R.: STAC hot spot areas: a statistical tool for law enforce-ment decisions. In: Proceedings of the Workshop on Crime Anal-

    ysis Through Computer Mapping. Criminal Justice InformationAuthority, Chicago, IL (1994)

    Bluestein, G.:, Companies track gridlock via cell phones. http://news.yahoo.com/s/ap/20061105/ap_on_hi_te/tracking_traffic;_ylt=AoQQdZOHq.vxPTOcxWTRCaDMWM0F;_ylu=X3oDMTA3ODdxdHBhBHNlYwM5NjQ-, Associated Press: Retreived11/05/2006 (2006)

    Blumberg, A.F., Mellor, G.L.: A description of a three-dimensionalcoastal ocean circulation model. In: Heaps, N.S. (ed.) Three-Dimensional Coastal Ocean Models, pp. 1–16. American Geo-physical Union, Washington, D.C. (1987)

    Blumberg, A.J., Keeler, L., Shelat, A.: Automated traffic enforcementwhich respects driver privacy. In: Proceedings of the 7th Inter-national IEEE Conference on Intelligent Transportation Systems,Vienna, Austria, September 2005, pp. 650–655. IEEE ComputerSociety, Washington, DC, USA (2005)

    Bochnak, J., Coste, M., Roy, M.-F.: Géométrie algébrique réelle.Springer-Verlag, Berlin/Heidelberg (1987)

    Bogaert, P.: Comparison of kriging techniques in a space-time con-text. Math. Geol. 28, 73–86 (1996)

    Bogaert, P., D’Or, D.: Estimating soil properties from thematic soilmaps-The BME approach. Soil Sci. Soc. Am. J. 66, 1492–1500(2002)

    Bogaert, P.: Spatial prediction of categorical variables: the BMEapproach. Stochastic Environ. Res. Risk Assess. 16, 425–448(2002)

    Boguna, M., Pastor-Satorras, R., Vespignani, A.: Epidemic Spread-ing in Complex Networks with Degree Correlations. In: Pastor-Satorras, R., Rubi, M., Diaz-Guilera, A. (eds.) StatisticalMechanics of Complex Networks. Lect. Notes Phys. 625,127–147 (2003)

    Böhlen, M.H., Jensen, C.S.: Temporal data model and query lan-guage concepts. Encyclopedia of Information Systems, 4, Aca-demic Press, Inc. (2003)

    Böhm, C., Berchtold, S., Keim, D.: Searching in high-dimensionalspaces: Index structures for improving the performance of multi-media databases. ACM Comput. Surv. 33(3):322–373 (2001)

    Bohm, C., Klump, G., Kriegel, H.-P.: xz-ordering: A space-fillingcurve for objects with spatial extension. In: Proc. of 6th Intl.Symp. on Large Spatial Databases, SSD, Hong Kong, July 1999,pp. 75–90

    Bohn, J., Vogt, H.: Robust Probabilistic Positioning Based on High-Level Sensor Fusion and Map Knowledge. Tech. Rep. 421. Insti-tute for Pervasive Computing, Distributed Systems Group, SwissFederal Institute of Technology (ETH), Zurich (2003)

    Bollobás, B., Das, G., Gunopulos, D., Mannila, H.: Time-series sim-ilarity problems and well-separated geometric sets. In Proc. ofSCG (1997)

    Bollobás, B.: Graph Theory: An Introductory Course, p.~12.Springer, Berlin (1979)

    Bonczek, R.H., Holsapple, C.W., Whinston, A.B.: Foundations ofDecision Support Systems. Academic Press, Orlando, FL (1981)

    Bonet, J.S.D.: Image Reprocessing for Rapid Selection in “Pay atten-tion mode”. MIT Press, Boston, MA (2000)

    Bonifati, A., Ceri, S.: Comparative Analysis of Five XML QueryLanguages, ACM SIGMOD Record, vol. 29, pp. 68–79, March,(2000)

    Bonnet, P., Gehrke, J., Seshardi, P.: Toward sensor database systems.Paper presented at the 2nd International Conference on MobileData Management (MDM 2001), pp. 3–14. Hong Kong, China,January (2001)

    http://www.nist.gov/dads/HTML/quadtree.htmlhttp://www.nist.gov/dads/HTML/quadtree.htmlhttp://www.cs.columbia.edu/~pblaer/projects/path_planner/http://news.yahoo.com/s/ap/20061105/ap_on_hi_te/tracking_traffic;_ylt=AoQQdZOHq.vxPTOcxWTRCaDMWM0F;_ylu=X3oDMTA3ODdxdHBhBHNlYwM5NjQ-http://news.yahoo.com/s/ap/20061105/ap_on_hi_te/tracking_traffic;_ylt=AoQQdZOHq.vxPTOcxWTRCaDMWM0F;_ylu=X3oDMTA3ODdxdHBhBHNlYwM5NjQ-http://news.yahoo.com/s/ap/20061105/ap_on_hi_te/tracking_traffic;_ylt=AoQQdZOHq.vxPTOcxWTRCaDMWM0F;_ylu=X3oDMTA3ODdxdHBhBHNlYwM5NjQ-http://news.yahoo.com/s/ap/20061105/ap_on_hi_te/tracking_traffic;_ylt=AoQQdZOHq.vxPTOcxWTRCaDMWM0F;_ylu=X3oDMTA3ODdxdHBhBHNlYwM5NjQ-

  • Bibliography 1287

    Booch, G., Jacobson, I., Rumbaugh, J.: The Unified Modeling Lan-guage User Guide. Addison-Wesley, Reading, MA (1998)

    Borchert, A.: Multimedia atlas concepts. In: Cartwright, W., Peter-son, M., Gartner, G. (eds.) Multimedia Cartography, pp. 75–86.Springer, Berlin Heidelberg New York (1999)

    Bordegoni, M., Faconti, G., Feiner, S., Maybury, M., Rist, T., Rug-gieri, R., Trahanias, P., Wilson, M.: A standard reference mod-el for intelligent multimedia presentation systems. Comp. Stand.Interf. 18(6–7), 477–496 (1997)

    Borges, K.A., Davis, C.D., Laender, A.H.F.: OMT-G: An object-ori-ented data model for geographic applications. GeoInformatica 5,221–260 (2001)

    Born, M., Wolf E.: Principles of optics: electromagnetic theory ofpropagation, interference and diffraction of light, 6th edn. Perga-mon Press, Oxford, New York (1980)

    Borràs, J., Hatrack, P., Mandayam, N.B.: Decision theoretic frame-work for NLOS identification. In: IEEE VTC 1998, 2, 1583–1587(1998)

    Borrmann, A., van Treeck, C., Rank, E.: Towards a 3D Spatial QueryLanguage for Building Information Models. In: Proceedings ofthe 11th Int. Conf. on Computing in Civil and Building Engi-neering (ICCCBE-XI), Montreal, Canada (2006)

    Borsuk, M.E., Reckhow, K.H.: Summary Description of the NeuseEstuary Bayesian Ecological Response Network (Neu-BERN).(2000) http://www2.ncsu.edu/ncsu/CIL/WRRI/neuseltm.html(Dec. 26, 2001)

    Boscoe, F.P., Ward, M.H., Reynolds, P.: Current practices in spatialanalysis of cancer data: data characteristics and data sources forgeographic studies of cancer. Int. J. Health Geogr. 3, article 28(2004)

    Bose, P., Morin, P., Stojmenovic, I., Urrutia, J.: Routing with guaran-teed delivery in ad hoc wireless networks. Wireless Networks 7,609–616 (2001)

    Bosowski, E.F., Feeman T.G.: The use of scale factors in map analy-sis: an elementary approach. Cartographica 34(4), 35–44 (1997)

    Bossler, J.D., Jensen, J.R., McMaster, R.B., Rizos, C. eds.: Manual ofGeospatial Science and Technology. London: Taylor and Francis,2002

    Botts, M. (eds.) (2005) OpenGIS® Sensor Model Language (Sen-sorML)Implementation Specification, OGC doi:05-086 http://portal.opengeospatial.org/files/?artifact_id=12606

    Bourassa, S., Hoesli, M., Peng, V.: Do housing submarkets really mat-ter? J. Housing Econ. 12(1), 12–28 (2003)

    Bowden, L.: The story of IFF (identification friend or foe),IEEE Proceedings, Part A: Physical Science, Measurement andInstrumentation, Management and Education 132(6), 435–437(1985)

    Boxall, J.: Geolibraries, the Global Spatial Data Infrastructure andDigital Earth. Int. J. Spec. Libr. 36(1), 1–21 (2002)

    Box, G., Jenkins, G., Reinsel, G.: Time Series Analysis: Forecastingand Control. Prentice Hall, Upper Saddle River, NJ (1994)

    Braga, A.A., Weisburd, D.L., et al.: Problem-oriented policing in vio-lent crime places: A randomized controlled experiment. Crimi-nology 7, 541–580 (1999)

    Brail, R.K., Klosterman, R.E. (eds.): Planning Support Systems: inte-grating geographic information systems, models, and visualiza-tion tools. ESRI Press (2001)

    Braitenberg, V.: Vehicles, experiments in synthetic psychology. MITPress, Cambridge, MA (1984)

    Brakatsoulas, S., Pfoser, D., Sallas, R., Wenk, C.: On map-matchingvehicle tracking data. In: Proc. 31st VLDB conference, pp.853–864 (2005)

    Brakatsoulas, S., Pfoser, D., Theodoridis, Y: Revisiting r-tree con-struction principles. In: Proc. of the East European Conferenceon Advances in Databases and Information Systems, Bratislava,Slovakia, 8–11 Sept 2002, pp. 149–162

    Brandeis, L., Warren, S.: The right to privacy. Harvard Law Rev. 4(5),193–220 (1890)

    Brandt, R., Groenewoudt, B.J., Kvamme, K.L.: An experiment inarchaeological site location: Modeling in the netherlands usingGIS techniques. World Arch. 24(2), 268–282 (1992)

    Brantingham, P., Brantingham, P.: Environmental Criminology.Waverland Press, Prospect Heights, Il (1981)

    Brantingham, P., Brantingham, P.: Location quotients and crimehotspots in the city. In: Block, C., Dabdoub, M., Fregly, S.(eds.) Crime analysis through computer mapping. Police Exec-utive Research Forum, Washington DC (1995)

    Brantingham, P.L., Brantingham, P.J.: Notes on the geometry ofcrime. In: Brantingham, P.J., Brantingham, P.L. (eds.) Environ-mental Criminology, pp. 27–54. Waveland Press Inc., ProspectHeights, IL (1981)

    Brasington, D., Hite, D.: Demand for environmental quality: a spatialhedonic analysis. Reg. Sci. Urban Econ. 35(1), 57–82 (2005)

    Brassel, K.E., Weibel, R.: A review and conceptual framework ofautomated map generalization. International Journal of Geo-graphical Information Systems. 2 229–244 (1988)

    Braun, J.: Dempster-Shafer Theory and Bayesian Reasoning in Mul-tisensor Data FuSion. Sensor Fusion: Architectures, Algorithmsand Applications IV. In: Proceedings of SPIE 4051, pp. 255–266(2000)

    Bray, C., Woodsford, P.: Positional Accuracy Improvement: Impactsof improving the positional accuracy of GI databases. In: EuroS-DR official workshop publication. no. 48, Dublin. http://www.eurosdr.net/km_pub/no48/html/positional/positional_index.htm(2004)

    Breinholt, G., Schierz, C.: Algorithm 781: Generating hilbert’s space-filling curve by recursion. ACM Trans. Math. Softw., TOMS24(2),184–189 (1998)

    Brenner, C., Sester, M.: Continuous generalization for small mobiledisplays. In: Agouris, P., Croitoru, A. (eds.) Next GenerationGeospatial Information, pp. 33–41. Taylor & Francis (2005)

    Breunig, M.M., Kriegel, H.-P., Ng, R.T., Sander, J.: Lof: Identifyingdensity-based local outliers. In: Proceedings of the 2000 ACMSIGMOD International Conference on Management of Data, p.93–104, Dallas, Texas, United States, 14–19 May 2000

    Brewer, C.: Designing Better Maps. ESRI Press (2005)Brickley, D. (2003) Basic Geo (WGS84 lat/long) Vocabulary. http://

    www.w3.org/2003/01/geo/. Accessed 21 March 2007Brillinger, D.R., Preisler, H.K., Ager, A.A., Kie, J.G.: An exploratory

    data analysis (EDA) of the paths of moving animals. J. Stat. Plan.Inf. 122(2), 43–63 (2004)

    Brinkhoff, T., Kriegel, H.P., Seeger, B.: Efficient processing of spatialjoins using r-trees. In: Proc. of ACM SIGMOD Int’l Conference(1993)

    Brinkoff, T., Kreigel, H.-P., Schneider, R., Seegar, B.: Multi-step pro-cessing of spatial joins. In: Proceedings of the ACM SIGMODInternational Conference on Management of Data, Minneapolis,MN, 24–27 May 1994

    The British Broadcasting Corporation: Stopping the book thieves.http://news.bbc.co.uk/2/hi/uk_news/1958424.stm, The BBCNews: Retreived 10/10/2006 (2002)

    Brodeur, J., Bédard, Y., Edwards, G., Moulin, B.: Revisiting theconcept of geospatial data interoperability within the scope ofa human communication process. Trans. GIS 7, 243–265 (2003)

    http://www2.ncsu.edu/ncsu/CIL/WRRI/neuseltm.htmlhttp://portal.opengeospatial.org/files/?artifact_id=12606http://portal.opengeospatial.org/files/?artifact_id=12606http://www.eurosdr.net/km_pub/no48/html/positional/positional_index.htmhttp://www.eurosdr.net/km_pub/no48/html/positional/positional_index.htmhttp://www.w3.org/2003/01/geo/http://www.w3.org/2003/01/geo/http://news.bbc.co.uk/2/hi/uk_news/1958424.stm

  • 1288 Bibliography

    Brodeur, J., Bédard, Y., Proulx, M.J.: Modeling geospatial applica-tion databases using UML-based repositories aligned with inter-national standards in geomatics. In: Proceedings of the 8th ACMSymposium on Advances in Geographic Information Systems(ACMGIS), Washington, D.C., USA, 6–11 Nov 2000

    Brodie, M., Mylopoulos, J., Schmidt, J.: On Conceptual Mod-elling. Topics in Information Systems. Springer-Verlag, NewYork/Heidelberg (1984)

    Brodsky, A., Segal, V., Chen, J., Exarkhopoulo, P.: The CCUBEconstraint object-oriented database system. Constraints 2(3–4),245–277 (1997)

    Brooks, A., Makarenko, A., Kaupp, T., Williams, S., Durrant-Whyte,H.: Implementation of an indoor active sensor network. In: Int.Symp. on Exp. Robotics, Singapore (2004)

    Browne, D., Totterdell, P., Norman, M. (eds.): Adaptive User Inter-faces. Computers and People Series. Academic Press, London(1990)

    Brown, G.G., Valliliou, A.L.: Optimizing Disaster Relief: Real-TimeOperational and Tactical Decision Support. Naval Res. Logistics40, 1–23 (1993)

    Brown, J.D., Heuvelink, G.B.M.: The Data Uncertainty Engine(DUE): a software tool for assessing and simulating uncertainenvironmental variables. Comput. & Geosci. 33, 172–190 (2007)

    Brownstein, J.S., Holford, T.R., Fish, D.: A climate-based model pre-dicts the spatial distribution of the Lyme disease vector Ixodesscapularis in the United States. Envrion. Health Persp. 111,1152–1157 (2003)

    Bruce, J. (1993) Review of tenure terminology. Land Tenure Cen-ter Report. http://agecon.lib.umn.edu/ltc/ltctb01.pdf. Accessed14 Aug 2007

    De Bruin, S., Bregt, A., Van De Ven, M.: Assessing Fitness for Use:The Expected Value of Spatial Data Sets. International Journal ofGeographical Information Sciences 15(5), 457–471 (2001)

    de Bruin, S.: Querying probablistic land cover data using fuzzy settheory. Int. J. Geogr. Inf. Sci. 14(4), 359–372 (2000)

    Brumberger, H., Goodisma, J.: Voronoi cells: An interesting andpotentially useful cell model for interpreting the small-angle scat-tering of catalysts. In: Journal of Applied Crystallography, vol.16, pp. 83–88. (1983)

    Brunato, M., Battiti, R.: Statistical learning theory for locationfinngerprinting in wireless lans. Computer Networks 47(6),825–845 (2005)

    Bruns, D.A.: Land use planning with CITYgreen: GIS software eval-uates development impacts on “green” infrastructure. Land Bul-letin of the National Consortium for Rural Geospatial Innova-tions. University of Wisconson, Madison, WI. www.ruralgis.orgIn Press (2007)

    Brunsdon, C., Fotheringham, A.S., Charlton, M.: Geographicallyweighted regression: a method for exploring spatial nonstation-arity. Geogr. Anal. 28, 281–98 (1996)

    Bruns, D.A., Sweet, T.: Geospatial tools to support watershedenvironmental monitoring and reclamation: assessing miningimpacts on the Upper Susquehanna-Lackawanna AmericanHeritage River. U.S. Department of Interior, Office of Sur-face Mining. Conference Proceedings, Advanced Integration ofGeospatial Technologies in Mining and Reclamation, Decem-ber 7–9, Atlanta, GA. http://www.tips.osmre.gov/GeoSpatial/post-conference/Papers/Bruns_Sweet1_PA.pdf

    Bruns, D.A., Sweet, T.: PPGIS in Rural America: Integrationof Geospatial Technologies and Resource Leveraging in DataAcquisition for an American Heritage River community. In: Pro-ceedings of the Annual PPGIS Conference of the Urban and

    Regional Information Systems Association (URISA), pp. 43–70.University of Wisconsin, Madison, WI (2004)

    Bruns, D.A., Sweet, T., Toothill, B.: Upper Susquehanna-Lackawan-na River Watershed, Section 206, Ecosystem Restoration Report.Phase I GIS Environmental Master Plan. Final Report to U.S.Army Corps of Engineers, Baltimore District, MD (2001)

    Bruns, D.A., Wiersma, G.B.: Design of environmental monitoringsystems: a geospatial perspective. In: Wiersma, G.B. (ed.) Envi-ronmental Monitoring, pp. 1–35. Lewis Publishers (2004)

    Bruns, H., Eggenhofer, M.: Similarity of Spatial Scenes. In: Mole-naar, M., Kraak, M.J. (eds.) Proc. 7th Int. Symposium on SpatialData Handling, pp. 31–42. Taylor and Francis, London (1996)

    Brusilovsky, P.: Adaptive Hypermedia. User Modeling User-AdaptedInteraction 11, 87–110 (2001)

    BSCS Bioinformatics and the human genome project: A CurriculumSupplement for High School Biology. Developed by BSCS undera contract from the Department of Energy (2003)

    Buber, M.: Ich und Du. Reclam jun. GmbH & Co., Stuttgart (1995)Buchin, K., Sousa, M.C., Döllner, J., Samavati F., Walther, M.: Illus-

    trating terrain using direction of slope and lighting. In: 4th ICAMountain Cartography Workshop (2004)

    Bugayevskiy, L.M., Snyder J.P.: Map Projections: A Reference Man-ual. Taylor and Francis, London (1995)

    Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low cost outdoorlocalization for very small devices. IEEE Personal Comm. 5(5),28–34 (2000)

    Bundy, G., Jones, C., Furse, E.: Holistic generalization of large-scalecartographic data. [20], 106–119

    Buneman, P., Davidson, S.B., Kosky, A.: Theoretical aspects ofschema merging. In: International Conference on ExtendingDatabase Technology (EDBT) 1992, March 23–27, Vienna, Aus-tria

    Bunge, W.: Theoretical Geography. Gleerup, Lund (1966)Buragohain, C., Gandhi, S., Hershberger, J., Suri, S.: Contour approx-

    imation in sensor networks. In: DCOSS (2006)Burghardt, D., Neun, M., Weibel, R.: Generalization services on the

    web—classification and an initial prototype implementation. Car-togr. Geogr. Inf. Sci. 32, 257–268 (2005)

    Burghardt, D., Purves, R. S., Edwardes, A.J.: Techniques for on-the-fly generalisation of thematic point data using hierarchical datastructures. In: Proceedings of the GIS Research UK 12th AnnualConference, Norwich, 28–30 April (2004)

    Burl, M.C.: Mining for image content. In Systemics, Cybernetics,and Informatics / Information Systems: Analysis and Synthesis,Orlando, FL (July 1999)

    Burnham, K.P., Anderson, D.R.: Model Selection and MultimodelInference: A Practical Information-Theoretic Approach, 2nd edn.Springer, New York (2002)

    Burns, L.D.: Transportation, Temporal and Spatial Components ofAccessibility. Lexington Books (1979)

    Burrough, P., Frank, A.M. (eds.): Specialist Meeting on Geographi-cal Objects with Undetermined Boundaries, GISDATA. FrancisTaylor (1996)

    Burrough, P., Frank, A.U. (eds.): Geographic Objects with Indetermi-nate Boundaries, GISDATA Series II. Taylor and Francis, London(1995)

    Burrough, P.A.: Fuzzy mathematical methods for soil survey and landevaluation. J. Soil Sci. 40, 477–492 (1989)

    Burrough, P.A., McDonnell, R.A.: Principles of geographical infor-mation systems. Oxford University Press, Oxford (1998)

    Burrough, P.A.: Natural Objects with Indeterminate Boundaries. In:Burrough, P.A., Frank, A.U. (eds.) Geographic Objects with Inde-

    http://agecon.lib.umn.edu/ltc/ltctb01.pdfhttp://www.ruralgis.orghttp://www.tips.osmre.gov/GeoSpatial/post-conference/Papers/Bruns_Sweet1_PA.pdfhttp://www.tips.osmre.gov/GeoSpatial/post-conference/Papers/Bruns_Sweet1_PA.pdf

  • Bibliography 1289

    terminate Boundaries, pp. 345. Taylor & Francis, Ltd., London(1996)

    Burrough, P.A., van Gaans, P.F.M., Hootsmans, R.: Continuous clas-sification in soil survey: spatial correlation, confusion and bound-aries. Geoderma, 77, 115–135 (1997)

    Bursik, R.J., Grasmick, H.G.: Neighborhoods and Crime: The Dimen-sions of Effective Community Control. Lexington Books, NewYork, NY (1993)

    Burton, F., Kollias, J., Kollias, V., Matsakis, D.: Implementation ofoverlapping B-trees for time and space efficient representation ofcollection of similar files. Comput. J., 33(3), 279–280 (1990)

    Burton, M.L., Hicks, M.J.: Hurricane Katrina: Preliminary Estimatesof Commercial and Public Sector Damages. Center for Businessand Economic Research. Marshall University, Huntington (2005)

    Bustos, B., Keim, D., Saupe, D., Schreck, T., Vranić, D.: Feature-based similarity search in 3D object databases. ACM ComputingSurveys 37(4), 345–387 (2005)

    Buttenfield, B., Gahegan, M., Miller, H. Geospatial Data Mining andKnowledge Discovery. http://www.ucgis.org/priorities/research/research_white/2000%20Papers/emerging/gkd.pdf

    Buttenfield, B.P.: Looking Forward: Geographic Information Servicesand Libraries in the Future. Cartography and Geographic Infor-mation Systems, 25(3), 161–173

    Buttenfield, B.P., McMaster, R.B.: Map Generalization: MakingRules for Knowledge Representation. Longman, London (1991)

    Buttenfield, B.P.: Transmitting vector geospatial data across the Inter-net. In: Proceedings of the Second International Conference onGeographic Information Science, 25–28 September 2002, Boul-der, Colorado, USA. Lecture notes in Computer Science 2478,pp. 51–64. Springer, Berlin (2002)

    Butz, A.R.: Alternative Algorithm for Hilbert’s Space-Filling Curve.IEEE Trans. Comput. C-20(4), 424–426 (1971)

    Buyukokkten, O., Cho, J., Garcia-Molina, H., Gravano, L., Shivaku-mar, N.: Exploiting geographical location information of webpages. In: ACM SIGMOD Workshop on The Web and Databases,Philadelphia, Pennsylvania, USA (1999)

    Buziek, G.: Eine Konzeption der kartographischen Visualisierung.Habilitation thesis, University of Hannover (2002)

    Cacuci, D.G.: Sensitivity and Uncertainty Analysis, Vol. 1: Theory.Chapman and Hall, Boca Raton, FL (2003)

    CAD and GIS – Critical Tools, Critical Links: Removing ObstaclesBetween CAD and GIS Professionals (http://images.autodesk.com/adsk/files/3582317_CriticalTools0.pdf)

    Cai, G., Bolelli, L., MacEachren, A.M., Sharma, R., Fuhrmann, S.,McNeese, M.: Geocollaborative crisis management: using mapsto mediate eoc–mobile team collaboration. In: dg.o ’04: Pro-ceedings of the 2004 annual national conference on Digital gov-ernment research, pp. 1–2. Digital Government Research Center(2004)

    Cai, G.R., MacEachren, A.M., Brewer, I., McNeese, M., Sharma, R.,Fuhrmann, S.: Map-mediated GeoCollaborative Crisis Manage-ment. In: Intelligence and Security Informatics, Proceedings, vol.3495. pp. 429–435 (2005)

    Cai, M., Keshwani, D., Revesz, P.Z.: Parametric Rectangles: A Mod-el for Querying and Animation of Spatiotemporal Databases. In:Proceedings of the 7th International Conference on ExtendingDatabase Technology, pp. 430–444. Konstanz, Germany (2000)

    Cai, M., Revesz, P.: Parametric R-Tree: An index structure for movingobjects. 10th International Conference on Management of Data,pp. 57–64. McGraw-Hill, New Dehli (2000)

    Cai, Q., Rushton, G., Bhaduri, B., Bright, E., Coleman, P.: Estimat-ing small-area populations by age and sex using spatial interpo-

    lation and statistical inference methods. Trans. GIS 10, 577–598(2006)

    Caldwell, T.: On Finding minimum Routes in a Network with TurnPenalties. Commun. ACM 4(2), 107–108 (1961)

    Calvanese, D., Giacomo, G.D., Lenzerini, M., Nardi, D., Rosati:Schema and Data Integration Methodology for DWQ. Tech-nical report, DWQ Consortium. TR# DWQ-UNIROMA-004,Sept. 1998. Università di Roma “La Sapienza”, Roma (1998)

    Câmara, G., Fonseca, F., Monteiro, A.M., Onsrud, H.: Networks ofinnovation and the establishment of a spatial data infrastructurein Brazil. Inf. Technol. Dev. 12, 255–272 (2006)

    Cameron, A.C., Trivedi, P.K.: Regression Analysis of Count Data.Cambridge University Press, Cambridge, UK (1998)

    Campbell, J.B.: Introduction to Remote Sensing, 4th edn. p. 626. TheGuilford Press, New York (2006)

    Canada Centre for Remote Sensing. http://ccrs.nrcan.gc.ca/index_e.php. Accessed November 2006

    Canter, D., Gregory, A.: Identifying the residential location of rapists.J. Forens. Sci. Soc. 34(3), 169–175 (1994)

    Canter, D.: Mapping Murder: The Secrets of Geographic Profiling.Virgin Publishing, London (2003)

    Cao, H., Cheung, D.W., Mamoulis, N.: Discovering partial periodicpatterns in discrete data sequences. In: Proc. of PAKDD (2004)

    Cao, H., Mamoulis, N., Heung, C.D.W.K.: Mining frequent spatio-temporal sequential patterns. In ICDM (2005)

    Cao, H., Wolfson, O., Trajcevski, G.: Spatio-temporal data reductionwith deterministic error bounds. Journal of Very Large Databases15(3) (2006)

    Cao, P., Wang, Z.: Efficient top-k query calculation in distribut-ed networks. In: PODC 04: Proceedings of the twenty-thirdannual ACM symposium on Principles of distributed comput-ing, pp. 206–215, St. John’s, Newfoundland, Canada, 25–28 July2004

    Čapkun, S., Hamdi, M., Hubaux, J.P.: GPS-free positioning in mobilead-hoc networks. In: 34th IEEE Hawaii Int. Conf. on System Sci-ences (HICSS-34), Jan. (2001)

    Cardei, M., Wu, J.: Coverage in wireless sensor networks. In: Ilyas,M., Magboub, I. (eds.) Handbook of Sensor Networks: Com-pact Wireless and Wired Sensing Systems, pp. 19:1–19:10. CRC,Boca Raton, FL (2004)

    Cardoso, J.: Semantic Web Services: Theory, Tools and Applications.Idea Group, (2007)

    Cardoso, J., Sheth, A.: Semantic Web Services, Processes and Appli-cations. Springer-Verlag, USA (2006)

    Card, S.K., MacKinlay, J.D., Shneiderman, B.: Readings in Informa-tion Visualization: Using Vision to Think. Morgan Kaufmann,San Francisco (1999)

    Carley, K., Fridsma, D., Casman, E., Altman, N., Chang, J., J., Kamin-ski, B., Nave, D., Yahja, A.A.: BioWar: Scalable Multi-AgentSocial and Epidemiological Simulation of Bioterrorism Events.NAACSOS conference proceedings, Pittsburgh, PA (2003)

    Carlin, B.P., Louis, T.A.: Bayes and Empirical Bayes Methods forData Analysis. 2nd edn. Chapman and Hall/CRC Press, BocaRaton, FL (2000)

    Carl, J.R., DeAngelo, M.M., Ruskey, D.C.: Sustainable developmentplan and runoff study for a proposed development in the Hick’sCreek watershed. In: Montz, B.E., Tobin, G.A. (eds.) Papers andProceedings of the Applied Geography Conferences, vol. 25, pp.9–17. Binghamton, NY (2002)

    Carsjens, G.J., van Lammeren, R.J.A., Ligtenberg, A.: STEPP:a strategic tool for integrating environmental aspects into plan-ning procedures. In: Geertman, S., Stillwell, J. (eds.) Planning

    http://www.ucgis.org/priorities/research/research_white/2000%20Papers/emerging/gkd.pdfhttp://www.ucgis.org/priorities/research/research_white/2000%20Papers/emerging/gkd.pdfhttp://images.autodesk.com/adsk/files/3582317_CriticalTools0.pdfhttp://images.autodesk.com/adsk/files/3582317_CriticalTools0.pdfhttp://ccrs.nrcan.gc.ca/index_e.phphttp://ccrs.nrcan.gc.ca/index_e.php

  • 1290 Bibliography

    Support Systems in Practice, pp. 139–154. Springer, New York,NY (2003)

    Carstairs, V.: Small area analysis and health service research. Com-munity Med. 3, 131–139 (1981)

    Carver, S.: Developing web-based GIS/MCE: Improving access todata and spatial decision support tools. In: Thill, J.C.(eds.) Multi-criteria decision-making and analysis: A geographic informationsciences approach, pp. 49–75. Ashgate Publishing Ltd., Alder-shot, United Kingdom (1999)

    Carver, S.J.: Open spatial decision making on the Internet. School ofGeography, University of Leeds, Yorkshire, England (1996)

    Casati, R., Smith, B., Varzi, A.C.: Ontological Tools for GeographicRepresentation. In: Guarino, N. (ed.) Formal Ontology in Infor-mation Systems, pp. 77–85. IOS Press, Amsterdam (1998)

    Casati, R., Varzi, A. (eds.): Events. The International ResearchLibrary of Philosophy. Dartmouth, Aldershot, UK (1996)

    Casati, R., Varzi A.: Fiat objects. Topoi, 20,131–148 (2001)Casati, R., Varzi, A.: The structure of spatial localization. Philos.

    Stud. 82, 205–239 (1996)Catlett, C., Smarr, L.: Metacomputing. Commun. ACM 35, 44–52

    (1992)Catovic, A., Sahinoglu, Z.: The Cramér-Rao bounds of hybrid

    TOA/RSS and TDOA/RSS location estimation schemes. Mit-subishi Electric Research Lab, Tech. Rep. TR-2003-143, Jan.2004. [Online]. http://www.merl.com/reports/docs/TR2003-143.pdf

    Cau, P., Cadeddu, A., Gallo, C., Lecca, G., Marrocu, M.: Estimat-ing Available Water Resources of the Sardinian Island Usingthe SWAT Model. SWAT2003 2nd International SWAT Con-ference Proceedings, Bari, Italy. Retrieved July 1, (2004) fromSWAT Proceedings Web site: http://www.brc.tamus.edu/swat/2ndswatconf/2ndswatconfproceeding.pdf (64–70) (2003)

    CC2431: System-on-Chip for 2.4 GHz ZigBee/IEEE 802.15.4 withLocation Engine. http://www.ti.com/lit/gpn/cc2431 (2005)

    Cecconi, A., Galanda, M.: Adaptive zooming in web cartography.Comput. Graphics Forum 21, 787–799 (2002)

    Cehver, V., McClellan, J.H.: Sensor array calibration via tracking withthe extended Kalman filter. In: Proceedings of 2001 IEEE Inter-national Conference on Acoustics, Speech, and Signal Process-ing, vol. 5, pp. 2817–2820 (2001)

    Center for Geospatial Intelligence at the University of Missouri –Columbia (UMC). http://geoint.missouri.edu/

    Center for International Earth Science Information Network: GriddedPopulation of the World (GPWv3). Columbia University, NewYork. http://sedac.ciesin.org/gpw/ (2007). Accessed 17 Sept 2007

    Centers for Disease Control and Prevention (CDC). http://www.cdc.gov/ncidod/dvbid/westnile. 11 Sept 2007

    Cerioli, A., Riani, M.: The ordering of spatial data and the detection ofmultiple outliers. J. Comput. Graphical Stat. 8(2):239–258 June1999

    Ceri, S., Pelegatti, G.: Distributed Databases: Principles and Systems,McGraw-Hill (1984)

    Cervone, G., Singh, R.P., Kafatos, M., Yu, C.: Wavelet maxima curvesof surface latent heat flux anomalies associated with Indian earth-quakes. Nat. Hazards Earth Syst. Sci. 5, 87–99 (2005)

    Chabini, I.: Discrete Dynamic Shortest Path Problems in Transporta-tion Applications. Trans Res Rec 1645, 170–175 (1998)

    Chainey, S., Ratcliffe, J.: GIS and Crime Mapping. John Wiley andSons, Ltd., Hoboken, NJ (2005)

    Chakhar, S., Martel, J.M.: Enhancing geographical informationsystems capabilities with multi-criteria evaluation functions.J. Geogr. Inf. Dec. Anal. 7(2), 47–71 (2003)

    Chakhar S., Mousseau, V.: DMA: An algebra for multicriteria spa-tial modeling. In: Proccedings ICA Workshop on GeospatialAnalysis and Modeling, 8 July, pp. 155–185, Vienna, Austria(2006)

    Chakka, V.P., Everspaugh, A., Patel, J.M.: Indexing Large Trajecto-ry Data Sets With SETI. In: Biennial Conf. on Innovative DataSystems Research (CIDR), Asilomar, CA, USA 2003

    Chakrabarti, C., Vishwanath, M., Owens, R.: Architectures forwavelet transforms: a Survey. J. VLSI Signal Process, pp.171–192 (2005)

    Chakrabarti, K., Garofalakis, M.N., Rastogi, R., Shim, K.: Approxi-mate query processing using wavelets. In: VLDB ’00: Proceed-ings of the 26th International Conference on Very Large DataBases, pp. 111–122. Morgan Kaufmann Publishers Inc., SanFrancisco, CA, USA (2000)

    Chakrabarti, K., Keogh, E.J., Pazzani, M., Mehrotra, S.: Locallyadaptive dimensionality reduction for indexing large time seriesdatabases. ACM Trans. Datab. Syst. 27(2), 188–228 (2002)

    Chakrabarti, K., Mehrotra, S.: Dynamic Granular Locking Approachto Phantom Protection in R-trees. In: Proceedings of IEEE Inter-national Conference on Data Engineering, Orlando, Florida,23–27 Feb 1998

    Chakrabarti, K., Mehrotra, S.: Efficient Concurrency Control inMulti-dimensional Access Methods. In: Proceedings of ACMSIGMOD International Conference on Management of Data,Philadelphia, Pennsylvania, 1–3 June 1999

    Chakravorty, R., Agarwal, S., Banerjee, S., Pratt, I.: MoB: A mobilebazaar for wide-area wireless services, International ConferenceMobile Computing and Networking (MobiCom’05), Aug 2005

    Chakravorty, S.: Identifying crime clusters: The spatial principles.Middle States Geogr. 28, 53–58 (1995)

    Chance, A., Newell, R.G., Theriault, D.G.: An Object-Oriented GIS– Issues and Solutions, EGIS ’90 Conference Proceedings, Ams-terdam, April (1990)

    Chandran, S., Gupta, A.K., Patgawkar, A.: A Fast Algorithm toDisplay Octrees. (2004) http://www.cse.iitb.ac.in/~sharat/papers/linearOctreee.pdf

    Chandrasekaran, B., Johnson, T., Benjamins, V.: Ontologies: what arethey? Why do we need them?. IEEE Intelligent Syst. Their Appl.14, 20–26 (1999)

    Chan, F.K., and Fu, A.W.: Haar Wavelets for Efficient SimilaritySearch of Time-Series: With and Without Time Warping. IEEETrans. on Knowl. Data Eng. 15(3), 678–705 (2003)

    Chang, H.-J.: Understanding the Relationship between Institutionsand Economic Development: Some Key Theoretical Issues.UNU/WIDER Discussion Paper 2006/05. July 2006. http://www.wider.unu.edu/publications/dps/dps2006/dp2006-05.pdf.Accessed 14 Aug 2007

    Chang, Y.-C., Bergman, L.D., Castelli, V., Li, C.-S., Lo, M.-L.,Smith, J.R.: The onion technique: indexing for linear optimiza-tion queries. SIGMOD Conference 391–402 (2000)

    Chan, L.M., Zeng, M.L.: Metadata Interoperability and Standardiza-tion – A Study of Methodology Part 1, D-Lib Magazine. 12(6)(2006). ISSN 1082–9873. http://www.dlib.org/dlib/june06/chan/06chan.html

    Chaplot, V., Saleh, A., Jaynes, D.B., Arnold, J.: Predicting water,sediment, and NO3-N Loads Under Scenarios of land-use andmanagement practices in a flat watershed. Water, Air, Soil Pollut.154(1–4), 271–293 (2004)

    Charlton, E.F.: The Octree. (1997)http://hpcc.engin.umich.edu/CFD/users/charlton/Thesis/html/node29.html. University of Michigan,Ann Arbor, MI, USA

    http://www.merl.com/reports/docs/TR2003-143.pdfhttp://www.merl.com/reports/docs/TR2003-143.pdfhttp://www.brc.tamus.edu/swat/2ndswatconf/2ndswatconfproceeding.pdfhttp://www.brc.tamus.edu/swat/2ndswatconf/2ndswatconfproceeding.pdfhttp://www.ti.com/lit/gpn/cc2431http://geoint.missouri.edu/http://sedac.ciesin.org/gpw/http://www.cdc.gov/ncidod/dvbid/westnilehttp://www.cdc.gov/ncidod/dvbid/westnilehttp://www.cse.iitb.ac.in/~sharat/papers/linearOctreee.pdfhttp://www.cse.iitb.ac.in/~sharat/papers/linearOctreee.pdfhttp://www.wider.unu.edu/publications/dps/dps2006/dp2006-05.pdfhttp://www.wider.unu.edu/publications/dps/dps2006/dp2006-05.pdfhttp://www.dlib.org/dlib/june06/chan/06chan.htmlhttp://www.dlib.org/dlib/june06/chan/06chan.htmlhttp://hpcc.engin.umich.edu/CFD/users/charlton/Thesis/html/node29.htmlhttp://hpcc.engin.umich.edu/CFD/users/charlton/Thesis/html/node29.html

  • Bibliography 1291

    Chartrand, G.: The Königsberg Bridge Problem: An Introduction toEulerian Graphs. In: Introductory Graph Theory. Dover, NewYork (1985)

    Chaudhuri, S., Dayal, U.: An overview of data warehousing andOLAP technology. SIGMOD Record 26, 65–74 (1997)

    Chaum, D.: Security without identification: Transaction systems tomake big brother obsolete. Commun. ACM 28(10), 1030–1044(1985)

    Chaum, D.: Untraceable electronic mail, return addresses, and digitalpseudonyms. Communications of the ACM 24(2):84–88 (1981)

    Chavez, E., Figueroa, K., et al.: A Fast Algorithm for the All k NearestNeighbors Problem in General Metric Spaces

    Chazelle, B., Dobkin, D.: Decomposing a polygon into its conv