Publications list Edzer Pebesma

August 10 2020

Contents

1 International journals 1

2 Conference papers 9

3 Conferencemeeting (extended) abstracts or posters 15

4 Invited paperspresentations 26

5 Books reports book chapters etc 28

6 Standard documents 31

7 Published reviews 31

8 Under reviewaccepted for publication 32

9 Editorial boardsguest editorials 33

10 Tutorialsworkshops etc 34

11 Published software tutorials (R package vignettes or taskviews) 35

1 International journals

1 Marius Appel Edzer Pebesma 2020 Spatiotemporal Multi-ResolutionApproximations for Analyzing Global Environmental Data SpatialStatistics 38 (open access)

2 Christian Knoth Henning Teickner Thomas Bartoschek Kati Kraehn-ert Melinda Vigh Myagmartseren Purevtseren Munkhnaran SugarEdzer Pebesma 2020 Patterns in Mongolian Nomadic HouseholdMovement Derived from GPS Trajectories Applied Geography 122(open access)

1

3 Marius Appel Edzer Pebesma 2019 On-Demand Processing of DataCubes from Satellite Image Collections with the gdalcubes LibraryData 4(3) 92

4 Soren Gebbert Thomas Leppelt Edzer Pebesma 2019 A Topologybased Spatio-Temporal Map Algebra for Big Data Analysis Data 4(2)86

5 Victor Maus Gilberto Camara Marius Appel and Edzer Pebesma2019 dtwSat Time-Weighted Dynamic Time Warping for SatelliteImage Time Series Analysis in R Journal of Statistical Software 88(5) 1-31

6 Fernando Santa Roberto Henriques Joaquın Torres-Sospedra EdzerPebesma 2019 A statistical approach for studying the spatio-temporaldistribution of geolocated tweets in urban environments Sustainabil-ity 11(3) 595

7 M Smid S Russo AC Costa C Granell E Pebesma 2019 Rank-ing European capitals by exposure to heat waves and cold waves Ur-ban Climate Volume 27 2019 Pages 388-402

8 Inaki Ucar Edzer Pebesma Arturo Azcorra 2018 Measurement Er-rors in R The R Journal 10 (2) 549ndash557

9 Shivam Gupta Auriol Degbelo and Edzer Pebesma 2018 ConnectingCitizens and Housing Companies for Fine-grained Air-Quality SensingGI Forum 2018 Volume 6 Issue 2 275ndash293

10 Shivam Gupta Edzer Pebesma Auriol Degbelo and Ana CristinaCosta 2018 Optimising Citizen-Driven Air Quality Monitoring Net-works for Cities ISPRS Int J Geo-Inf 2018 7(12) 468 (open access)

11 Edzer Pebesma 2018 Simple Features for R Standardized Supportfor Spatial Vector Data The R Journal 101 439-446

12 Meng Lu Marius Appel Edzer Pebesma 2018 MultidimensionalArrays for Analysing Geoscientific Data ISPRS Int J Geo-Inf 20187(8) 313 (open access)

13 Ibarra-Espinosa S Ynoue R OrsquoSullivan S Pebesma E AndradeM D F and Osses M 2018 VEIN v022 an R package for bot-tomndashup vehicular emissions inventories Geoscientific Model Develop-ment 11 2209-2229 httpsdoiorg105194gmd-11-2209-20182018

14 Christian Knoth Sofian Slimani Marius Appel Edzer Pebesma 2018Combining automatic and manual image analysis in a web-mapping

2

application for collaborative conflict damage assessment Applied Ge-ography 97 25-34 (pdf)

15 Shivam Gupta Edzer Pebesma Jorge Mateu and Auriol Degbelo2018 Air Quality Monitoring Network Design Optimisation for Ro-bust Land Use Regression Models Sustainability 2018 10(5) 1442online

16 Ngo Manh Khoi Sven Casteleyn M Mehdi Moradi and Edzer Pebesma2018 Do Monetary Incentives Influence Usersrsquo Behavior in Participa-tory Sensing Sensors 18(5) 1426 online

17 Nanki Sidhu Edzer Pebesma Gilberto Camara 2018 Using GoogleEarth Engine to detect land cover change Singapore as a use caseEuropean Journal of Remote Sensing 51 (1) 486-500

18 Shivam Gupta Jorge Mateu Auriol Degbelo Edzer Pebesma 2018Quality of life big data and the power of statistics Statistics amp Prob-ability Letters Volume 136 101-104

19 Marius Appel Florian Lahn Wouter Buytaert Edzer Pebesma 2018Open and scalable analytics of large Earth observation datasets fromscenes to multidimensional arrays using SciDB and GDAL ISPRSJournal of Photogrammetry and Remote Sensing 138 47ndash56 (openaccess)

20 Nanki Sidhu Edzer Pebesma Yi-Chen Wang 2017 Usability Studyto Assess the IGBP Land Cover Classification for Singapore RemoteSensing 9(10) 1075

21 Meng Lu Eliakim Hamunyela Jan Verbesselt Edzer Pebesma 2017Dimension reduction of multi-spectral satellite image time series toimprove deforestation monitoring Remote Sensing 9(10) 1025

22 S Gebbert E Pebesma 2017 The GRASS GIS temporal frameworkInternational Journal of Geographic Information Systems 31 (7) pp1273-1292

23 Daniel Nust Markus Konkol Marc Schutzeichel Edzer Pebesma Chris-tian Kray Holger Przibytzin Jorg Lorenz 2017 Opening the Publi-cation Process with Executable Research Compendia D-Lib Magazin23 (12)

24 C Knoth E Pebesma 2017 Detecting dwelling destruction in Darfurthrough object-based change analysis of very-high-resolution imageryInternational Journal of Remote Sensing 38 (1) 273-295

3

25 Edzer Pebesma Thomas Mailund James Hiebert 2016 Measurementunits in R The R Journal 8-2 486-494

26 Benedikt Graler Edzer Pebesma and Gerard Heuvelink 2016 Spatio-Temporal Interpolation using gstat The R Journal 8(1) 204-218

27 S Scheider B Graler E Pebesma C Stasch 2016 Modelling spatio-temporal information generation Int J of Geographic InformationScience 30 (10) 1980-2008 (recommended pdf)

28 M Lu E Pebesma A Sanchez J Verbesselt 2016 Spatio-temporalchange detection from multidimensional arrays detecting deforesta-tion from MODIS time series ISPRS Journal of Photogrammetry andRemote Sensing 117 227ndash236 (pdf)

29 Lemke D S Berkemeyer V Mattauch O Heidinger E PebesmaH-W Hense 2015 Small-area spatio-temporal analyses of partici-pation rates in the mammography screening program in the city ofDortmund (NW Germany) BMC Public Health 151190

30 Helle KB E Pebesma 2015 Optimising Sampling Designs for theMaximum Coverage Problem of Plume Detection Spatial Statistics13 31-44

31 D Lemke V Mattauch O Heidinger E Pebesma HW Hense 2015Comparing adaptive and fixed bandwidth-based kernel density esti-mates in spatial cancer epidemiology International Journal of HealthGeographics 1415

32 Pebesma E R Bivand PJ Ribeiro 2015 Software for SpatialStatistics Journal of Statistical Software 63(1) 1-8

33 Hengl T P Roudier D Beaudette E Pebesma 2015 plotKMLScientific Visualization of Spatio-Temporal Data Journal of StatisticalSoftware 63(5) 1-25

34 Skoslashien J O G Bloschl G Laaha E Pebesma J Parajka and AViglione 2014 rtop an R package for interpolation of data with avariable spatial support with an example from river networks Com-puters amp Geosciences 67 p 180-190

35 Kilibarda M T Hengl GBM Heuvelink B Graler E PebesmaM Percec Tadic and B Bajat 2014 Spatio-temporal interpolation ofdaily temperatures for global land areas at 1 km resolution Journalof Geophysical Research Atmospheres 119 (5) p 2294-2313 (openaccess)

4

36 Fraley G P Jankowski E Pebesma 2014 An Exploratory Approachto Spatial Decision Support Computers Environment amp Urban Sys-tems 45 101-113

37 Truong PN GBM Heuvelink E Pebesma 2014 Bayesian Area-to-Point Conditional Simulation Using Expert Knowledge as Informa-tive Priors International Journal of Applied Earth Observation andGeoinformation 30 p 128ndash138

38 Gebbert S E Pebesma 2014 A temporal GIS for field based envi-ronmental modeling Environmental Modelling amp Software 53 p 1-12(pdf)

39 Stasch C S Scheider E Pebesma W Kuhn 2014 Meaningful Spa-tial Prediction and Aggregation Environmental Modelling amp Soft-ware 51 (149ndash165 open access)

40 Brink J and E Pebesma 2014 Plume tracking with a mobile sensorbased on incomplete and imprecise information Transactions in GIS18 (5) p 740ndash766

41 Lemke D V Mattauch O Heidinger E Pebesma and H-W Hense2013 Detecting cancer clusters in a regional population with localcluster tests and Bayesian smoothing methods a simulation studyInternational Journal of Health Geographics 1254

42 Pupin Mello M J Risso C Atzberger P Aplin E Pebesma CAOliveira Vieira and BFT Rudorff 2013 Bayesian Networks forRaster Data (BayNeRD) Plausible Reasoning from Observations Re-mote Sensing 5 (11) 5999ndash6025

43 Gerharz LE O Klemm AV Broich and E Pebesma 2013 Spatio-temporal modelling of individual exposure to air pollution Atmo-spheric Environment Volume 64 56-65

44 Bastin L D Cornford R Jones GBM Heuvelink E PebesmaC Stasch S Nativi P Mazetti M Williams 2013 Managing Un-certainty in Integrated Environmental Modelling Frameworks TheUncertWeb framework Environmental Modelling amp Software 39 116-134 (pdf)

45 Gerharz LE E Pebesma 2013 Using geostatistical simulation todisaggregate air quality model results for individual exposure estima-tion on GPS tracks Stochastic Environmental Research and RiskAssessment 27 (1) pp 223-234

5

46 Hosseinalizadeh M E Pebesma H Ahmadi S Feiznia F Rivaz BGraler 2012 Spatial Modeling of the K factor for two sub-catchmentswith different tillage and grazing Case study loessial paired sub-catchments in the north-east of Iran Journal of Biodiversity and Eco-logical Sciences 2 (2) 94-103

47 Pebesma E 2012 spacetime Spatio-Temporal Data in R Journalof Statistical Software volume 51 issue 7 1-30

48 Pebesma E D Nust R Bivand 2012 The R software environ-ment in reproducible geoscientific research Eos Transactions Ameri-can Geophysical Union 93 vol 16 p 163-164 (pdf)

49 Stasch C T Foerster C Autermann E Pebesma 2012 Spatio-Temporal aggregation of European Air Quality Observations in theSensor Web Computers and Geosciences 47 111ndash118

50 Espindola GM de APD de Aguiar E Pebesma G Camara LFonseca 2012 Agricultural land use dynamics in the Brazilian Ama-zon based on remote sensing and census data Applied Geography 32240ndash252 (pdf)

51 Hengl T GBM Heuvelink M Percec Tadic E Pebesma 2012Spatio-temporal prediction of daily temperatures using time-series ofMODIS LST images Theoretical and Applied Climatology Vol 107Nr 1-2 265-277 DOI

52 Fritze H IT Stewart EJ Pebesma 2011 Shifts in Western NorthAmerican snowmelt runoff regimes for the recent warm decades Jour-nal of hydrometeorology vol 12 p 989ndash1006 DOI

53 Baume OP JO Skoslashien GBM Heuvelink EJ Pebesma SJMelles 2011 A geostatistical approach to data harmonization ndash Appli-cation to radioactivity exposure data International Journal of AppliedEarth Observation and Geoinformation 13 409-419

54 Pebesma E D Cornford G Dubois GBM Heuvelink D Hristopou-los J Pilz U Stohlker G Morin and JO Skoslashien 2011 INTAMAPthe design and implementation of an interoperable automated inter-polation web service Computers amp Geosciences 37 (3) 343-352

55 Hiemstra Paul H Edzer J Pebesma Gerard BM Heuvelink ChrisJW Twenhofel 2010 Using rainfall radar data to improve inter-polated maps of dose rate in the Netherlands Science of the TotalEnvironment 409 (1) 123-133

6

56 Sluiter R EJ Pebesma 2010 Comparing techniques for vegetationclassification using multi- and hyperspectral images and ancillary envi-ronmental data International Journal of Remote Sensing 1366-5901Volume 31 Issue 23 Pages 6143 ndash 6161

57 Nijs T de E Pebesma 2010 Estimating the influence of the neigh-bourhood in the development of residential areas in the NetherlandsEnvironment and Planning B Planning and Design 37 p 21-41

58 Skoslashien JO O Baume E J Pebesma GBM Heuvelink 2010Identifying and removing heterogeneities between monitoring networksEnvironmetrics 21 (1) p 66 - 84

59 Hiemstra PH EJ Pebesma CJW Twenhofel GBM Heuvelink2009 Real-time automatic interpolation of ambient gamma dose ratesfrom the Dutch Radioactivity Monitoring Network Computers amp Geo-sciences 35 (8) Pages 1711-1721

60 Beelen R G Hoek E Pebesma D Vienneau K de Hoogh DJBriggs 2009 Mapping of air pollution at a fine spatial scale acrossthe European Union Science of the Total Environment Vol 407 No6 1852-1867

61 Skoslashien JO G Bloschl EJ Pebesma 2008 Geostatistics for auto-matic estimation of environmental variables - some simple solutionsGeorisk Vol 2 No 4 259-272

62 Hiemstra Paul H Edzer J Pebesma Chris JW Twenhofel GerardBM Heuvelink 2008 Automatic real-time interpolation of radiationhazards a prototype and system architecture considerations IJSDIRVol 3 (Special Issue GI-DAYS 2007 Muenster Young ResearchersForum) 58-72

63 Braak CJF ter DJ Brus and EJ Pebesma 2008 Comparingsampling patterns for kriging the spatial mean temporal trend Journalof Agricultural Biological and Ecological Statistics 13 (2) 159-176

64 Schuurmans J M MFP Bierkens EJ Pebesma and R Uijlenhoet2007 Automatic Prediction of High-Resolution Daily Rainfall Fieldsfor Multiple Extents The Potential of Operational Radar Journal ofHydrometeorology 8 (6) 1204-1224

65 Dubois G EJ Pebesma P Bossew 2007 Automatic mappingin emergency a geostatistical perspective International Journal ofEmergency Management 4 (3) pp 455-467

7

66 Addink EA SM de Jong and EJ Pebesma 2007 The importanceof scale in object-based mapping of vegetation parameters with hyper-spectral imagery Photogrammetric Engineering amp Remote Sensing73 (8) 905ndash912

67 Pebesma EJ P Switzer K Loague 2007 Error analysis for theevaluation of model performance Rainfall-runoff event summary vari-ables Hydrological Processes 21 3009-3024

68 Pebesma EJ K de Jong DJ Briggs 2007 Visualising uncertainspatial and spatio-temporal data under different scenarios an air qual-ity example International Journal of GIS 21 515ndash527 (Special Issuein Honour of the Contribution of Peter Burrough to Geographical In-formation Science) (pdf)

69 Pebesma Edzer J 2006 The Role of External Variables and GISDatabases in Geostatistical Analysis Transactions in GIS Vol 10 No4 615-632 (pdf)

70 Pebesma EJ RS Bivand 2005 Classes and methods for spatialdata in R R News 5 (2) 9ndash13

71 Pebesma EJ 2005 Mapping Radioactivity from monitoring dataautomating the classical geostatistical approach Applied GIS Vol 1No 2

72 Pebesma EJ RNM Duin PA Burrough 2005 Mapping SeaBird Densities over the North Sea Spatially Aggregated Estimatesand Temporal Changes Environmetrics 16 (6) p 573-587 (pdf) (Rscript)

73 Pebesma EJ P Switzer K Loague 2005 Error analysis for theevaluation of model performance Rainfall-runoff event time seriesdata Hydrological Processes 19 p 1529-1548

74 Pebesma EJ 2004 Multivariable geostatistics in S the gstat pack-age Computers amp Geosciences 30 (7) 683-691 (CampG best paper awardfor 2004)

75 Pfeffer K EJ Pebesma PA Burrough 2003 Mapping alpinevegetation using vegetation observations and topographic attributesLandscape Ecology 18 759-776

76 Jong SM de EJ Pebesma B Lacaze 2003 Aboveground biomassassessment of mediterranean Forests using Airborne Imaging Spec-trometry the DAIS Peyne Experiment Int J of Remote Sensing 24(7) 1505-1520

8

77 Kros J JP Mol Dijkstra EJ Pebesma 2002 Assessment of theprediction error in a large-scale application of a dynamic soil acidifica-tion model Stochastic Environmental Research and Risk Assessment16 279ndash306

78 Horssen PW van EJ Pebesma PP Schot 2002 Uncertaintiesin spatially aggregated predictions from a logistic regression modelEcological Modelling 154 (1-2) 93-101

79 Wit MJM de EJ Pebesma 2001 Nutrient fluxes at the riverbasin scale Part II the balance between data availability and modelcomplexity Hydrological Processes 15 761-775

80 Thorsen M JC Refsgaard S Hansen EJ Pebesma JB Jensenand S Kleeschulte 2001 Assessment of uncertainty in simulation ofnitrate leaching to aquifers at catchment scale Journal of Hydrology242 210-227

81 Hansen S M Thorsen EJ Pebesma S Kleeschulte H Svendsen1999 Uncertainty in simulated nitrate leaching due to uncertaintyin input data A case study Soil Use and Management 15 (3) pp167-175

82 Finke PA D Wladis J Kros EJ Pebesma GJ Reinds 1999Quantification and simulation of errors in categorical data for uncer-tainty analysis of soil acidification modelling Geoderma 93 177-194

83 Kros J EJ Pebesma GJ Reinds and PA Finke 1999 Uncertaintyassessment in modelling soil acidification at the European scale a casestudy Journal of Environmental Quality 28 (2) pp 366-377

84 Heuvelink GBM and EJ Pebesma 1999 Spatial aggregation andsoil process modelling Geoderma 89 47-65

85 Pebesma EJ and GBM Heuvelink 1999 Latin hypercube samplingof Gaussian random fields Technometrics 41 (4) pp 303ndash312

86 Pebesma EJ and CG Wesseling 1998 Gstat a program for geo-statistical modelling prediction and simulation Computers amp Geo-sciences 24 (1) 17ndash31

87 Pebesma EJ and JW de Kwaadsteniet 1997 Mapping Groundwa-ter Quality in the Netherlands Journal of Hydrology 200 pp 364-386

9

2 Conference papers

1 A Joshi E Pebesma R Henriques and M Appel 2019 SciDB BasedFramework For Storage And Analysis of Remote Sensing Big DataInt Arch Photogramm Remote Sens Spatial Inf Sci XLII-5W343ndash47 2019 httpsdoiorg105194isprs-archives-XLII-5-W3-43-2019

2 Christian Kray Edzer Pebesma Markus Konkol and Daniel Nust2019 Reproducible Research in Geoinformatics Concepts Challengesand Benefits (Vision Paper) In Sabine Timpf Christoph SchliederMarkus Kattenbeck Bernd Ludwig and Kathleen Stewart 14th In-ternational Conference on Spatial Information Theory (COSIT 2019)81ndash813 Leibniz International Proceedings in Informatics (LIPIcs)142 Schloss DagstuhlndashLeibniz-Zentrum fuer Informatik Dagstuhl Ger-many httpdropsdagstuhldeopusvolltexte201911100

3 Pramit Ghosh Florian Lahn Soren Gebbert Matthias Mohr andEdzer Pebesma 2018 Running user-defined functions in R on Earthobservation data in cloud back-ends Geomundus converence Dec 7-82018 httpgeomundusorg2018docspapersPramitpdf

4 Edzer Pebesma Marius Appel and Florian Lahn 2018 R vector andraster data cubes for openEO EGU2018-8198 IE44GM28AS58BG117CL528GD1010GMPV105HS35SSS1377TS1112- R and the benefit of low-cost solutions - democratic participation toface challenges in Earth science (co-organized)

5 Avipsa Roy Edzer Pebesm 2017 A Machine Learning Approachto Demographic Prediction using Geohashes SocialSensrsquo17 Proceed-ings of the 2nd International Workshop on Social Sensing PittsburghPA USA mdash April 18 - 21 2017 Pages 15-20 httpsdlacmorg

citationcfmid=3055603

6 Luiz Gustavo Diniz Merret Buurman Pedro R Andrade GilbertoCamara Edzer Pebesma 2013 Measuring Allocation Errors in LandChange Models in Amazonia Proceedings GeoINFO 2013 Nov 24-27Campos do Jordao Br

7 Marcio Pupin Mello Daniel Alves Aguiar Bernardo Friedrich TheodorRudorff Edzer Pebesma Jim Jones Naiara Carolina Pontes SantosSpatial statistic to assess remote sensing acreage estimates an analysisof sugarcane in Sao Paulo state Brazil IGARSS 2013 Jul 21-16Melbourne Australia

8 Matthias Hinz Daniel Nust Benjamin Proszlig Edzer Pebesma 2013Spatial Statistics on the Geospatial Web Short paper AGILE 2013

10

9 Schulz M J Skoslashien L Gerharz E Pebesma G Dubois Uncer-tainty propagation between web services ndash a case study using theeHabitat WPS to identify unique ecosystems In R Seppelt AAVoinov S Lange D Bankamp (Eds) Proceedings of the 2012 Inter-national Congress on Environmental Modelling amp Software ManagingResources of a Limited Planet Sixth Biennial Meeting Leipzig Ger-many pp 1489-1496

10 Pross B C Stasch L Gerharz E Pebesma 2012 Tools for uncer-tainty propagation in the Model Web using Monte Carlo SimulationIn R Seppelt AA Voinov S Lange D Bankamp (Eds) Proceed-ings of the 2012 International Congress on Environmental Modellingamp Software Managing Resources of a Limited Planet Sixth BiennialMeeting Leipzig Germany pp 933-941

11 Graler B E Pebesma 2012 Modelling Dependence in Space andTime with Vine Copulas GEOSTATS 2012 Ninth International Geo-statistics Congress Oslo Norway June 11-15 2012

12 Truong P GBM Heuvelink and E Pebesma 2012 Influence ofpoint-support variogram on disaggregation uncertainty using ATP Krig-ing GIZeitgeist 16th and 17th of March 2012 Muenster http

gi-zeitgeistuni-muensterde

13 Senaratne H L Gerharz E Pebesma A Schwering 2012 Usabilityof Spatio-Temporal Uncertainty Visualisation Methods In Bridgingthe Geographic Information Sciences Lecture Notes in Geoinforma-tion and Cartography J Gensel D Josselin and D VandenbrouckeSpringer Berlin Heidelberg doi draft pdf (Agile 2012 proceedings)

14 Fairgrieve S C Stasch S Falke L Gerharz E Pebesma 2011Error Aware Near Real-Time Interpolation of Air Quality Observa-tions in GEOSS ISW-2011 Integrating Sensor Web and Web-basedGeoprocessing An AGILE 2011 Conference Workshop Utrecht TheNetherlands April 18 2011 (pdf)

15 Helle Kristina B Poul Astrup Wolfgang Raskob and Edzer Pebesma2011 Methods and Sampling Designs to Map Plumes Using PriorKnowledge from Simulations Short paper presented at ISSDQ 2011

16 Giovana M de Espindola Edzer Pebesma Gilberto Camara 2011Spatio-temporal regression models for deforestation in the BrazilianAmazon STDM 2011 The International Symposium on Spatial-Temporal Analysis and Data Mining University College London -18th-20th July 2011 pdf

11

17 Helle KB L Urso P Astrup T Mikkelsen JC Kaiser E PebesmaC Rojas-Palma E Holo JE Dyve W Raskob 2011 Planningsensor locations for the detection of radioactive plumes for Norwayand the Balkans Planning and assessment of monitoring strategiesfor the detection of radioactive plumes for Norway and the Balkansrsquoregion ICRER conference (19th - 24th June 2011) Hamilton Canada

18 Katharina Hennebohl Marius Appel Edzer Pebesma 2011 Spatialinterpolation in massively data parallel computing environments InStan Geertman Wolfgang Reinhardt and Fred Toppen editors Pro-ceedings of the 14th AGILE International Conference on GeographicInformation Science - Advancing Geoinformation Science for a Chang-ing World Utrecht 2011 AGILE ISBN 978-90-816960-1-2

19 Daniel Nust Christoph Stasch and Edzer J Pebesma 2011 Con-necting R to the Sensor Web In SCM Geertman WP Reinhardtand FJ Toppen editors Advancing Geoinformation Science for aChanging World Lecture Notes in Geoinformation and CartographySpringer Verlag Berlin etc 2011 ISBN 978-3-642-19788-8

20 Gerharz LE B Graler E Pebesma 2011 Disaggregating gridded airquality data for individual exposure modelling Procedia Environmen-tal Sciences Volume 7 p 146-151 Spatial Statistics 2011 MappingGlobal Change

21 Graler B E Pebesma 2011 The pair-copula construction for spa-tial data a new approach to model spatial dependency ProcediaEnvironmental Sciences Volume 7 p 206-211 Spatial Statistics 2011Mapping Global Change

22 Pebesma E D Cornford S Nativi and C Stasch 2010 The uncer-tainty enabled model web (UncertWeb) Environmental InformationSystems and Services Infrastructures and Platforms Workshop at En-viroInfo2010 BonnCologne October 6-8 2010 (proceedings video)

23 Raskob W C Rojas-Palma C Kaiser T Mikkelsen E Pebesma2009 Design of optimised systems for monitoring of radiation andradioactivity in case of a nuclear or radiological emergency in europe(DETECT) Proceedings of the 14 Fachgesprach zur Uberwachungder Umweltradioaktivitat Freiburg DE March 23-26 2009

24 Stoehlker U G Dubois J De Jesus S Burbeck M Bleher EPebesma 2009 Real-time mapping for environmental surveillanceA decision-makerrsquos perspective StatGIS 2009 Geoinformatics forenvironmental surveillance Milos June 17-18 2009

12

25 Skoslashien JO EJ Pebesma G Bloschl 2009 rtop ndash an R package forinterpolation along the stream network StatGIS 2009 Geoinformaticsfor environmental surveillance Milos June 17-18 2009

26 Pebesma E D Cornford G Dubois G Heuvelink D HristopoulosJ Pilz U Stoehlker J Skoslashien 2009 INTAMAP an interoperableautomated interpolation web service StatGIS 2009 Geoinformaticsfor environmental surveillance Milos June 17-18 2009

27 Hennebohl K LE Gerharz EJ Pebesma 2009 An OGC web ser-vice architecture for near real-time interpolation of air quality overEurope StatGIS 2009 Geoinformatics for environmental surveillanceMilos June 17-18 2009

28 Pebesma E G Dubois D Cornford 2009 Automated mapping ofenvironmental variables from a SEIS or SISE perspective Presentedat European conference of the Czech Presidency of the Council of theEU TOWARDS eENVIRONMENT (Challenges of SEIS and SISEIntegrating Environmental Knowledge in Europe) Jiri Hrebicek (chiefeditor) Jiri Hradec Emil Pelikan Ondrej Mirovsky Werner PillmannIvan Holoubek Thomas Bandholtz (Eds) Masaryk University Mar25-27 2009

29 Dubois G J de Jesus B Doherty D Cornford EJ PebesmaLessons learnt from INTAMAP an interoperable web service for thereal-time interpolation of environmental variables 33rd Int Sympo-sium on Remote Sensing of the Environment (httpisrse-33jrceceuropaeu) May 4-8 2009

30 Skoslashien JO GBM Heuvelink EJ Pebesma Unbiased block predic-tions and exceedance Probabilities for environmental thresholds InJulian M Ortiz and Xavier Emery (Eds) GEOSTATS 2008 - VIIIInternational Geostatistics Congress 1-5 December Santiago Chile

31 Baume O JO Skoslashien GBM Heuvelink EJ Pebesma Data har-monization with geostatistical tools a Bayesian extension In JulianM Ortiz and Xavier Emery (Eds) GEOSTATS 2008 - VIII Interna-tional Geostatistics Congress 1-5 December Santiago Chile

32 Pebesma EJ G Dubois D Cornford 2008 The challenge of real-time automatic mapping for environmental monitoring network man-agement In A Soares MJ Pereira R Dimitrakopoulos (Eds)geoENV VI Geostatistics for Environmental Applications Quantita-tive Geology and Geostatistics Vol 15 pp 467-476 Springer

33 Hiemstra PH EJ Pebesma CJW Twenhofel GBM Heuvelink2007 Toward an Automatic Real-Time Mapping System for Radiation

13

Hazards GI-Days 2007 ndash Young researchers Forum In F Probst CKessler (Eds) Proceedings of the 5th Geographic Information Days10-12 September 2007 Munster Germany IfGI prints 30

34 Williams M Cornford D Ingram B R Bastin L Beaumont AJ Pebesma E and Dubois G 2007 Supporting interoperable in-terpolation the INTAMAP approach International Symposium onEnvironmental Software Systems 2007 22-25 May Prague Czech Re-public

35 Addink EA SM de Jong EJ Pebesma 2007 Object definitionfor aboveground biomass and leaf area index estimation Proceedings5th EARSeL Workshop on Imaging Spectroscopy Bruges BelgiumApril 23-25 2007

36 Addink EA Jong SM de Pebesma EJ amp Nijland W (2007)Estimating biomass and LAI in Mediterranean forests from HyMapdata using object-oriented image analysis How to define optimal ob-jects In Proceedings ForestSat 2007 SCIENTIFIC WORKSHOP -Forests and Remote sensing Methods and Operational Tools (pp5) Montpellier France ForestSat

37 Pebesma EJ D Karssenberg K de Jong 2006 Dynamic visualisa-tion of spatial and spatio-temporal probability distribution functionsProceedings of 7th International Symposium on Spatial Accuracy As-sessment in Natural Resources and Environmental Sciences July 5-72006 Edited by M Caetano and M Painho

38 Bossew P Dubois G and Pebesma E J (2005) Decision makingand radiological maps understanding map uncertainties in emergencyProceedings of the International Conference on Monitoring Assess-ments and Uncertainties for Nuclear and Radiological Emergency Re-sponse November 21-25 2005 Rio de Janeiro Brazil IAEA

39 Bivand R EJ Pebesma Barry Rowlingson (2005) Collaborativeopen source software development the case of sp a package of Rclass definitions for spatial data Presented at the 8th InternationalConference on GeoComputation School of Natural Resources amp En-vironment University of Michigan session 503 July 31 mdash August 32005

40 Pebesma EJ RNM Duin (2005) Spatio-temporal mapping of seafloor sediment pollution in the North Sea In Ph Renard and RFroidevaux eds Proceedings GeoENV 2004 ndash Fifth European Con-ference on Geostatistics for Environmental Applications p 365ndash378Springer

14

41 Pebesma EJ 2003 Gstat multivariable geostatistics for S Pro-ceedings of the 3rd International Workshop on Distributed StatisticalComputing (DSC 2003) March 20ndash22 Vienna Austria

42 Heuvelink GBM and Pebesma EJ (2003) Change of supportand uncertainty propagation with regional applications of soil pro-cess models In Parks B O Clarke K M and Crane M P (Ed)Proceedings of the 4th international conference on integrating geo-graphic information systems and environmental modeling problemsprospects and needs for research 2000 Sep 2-8 Boulder CO BoulderUniversity of Colorado Cooperative Institute for Research in Environ-mental Science (www and CD)

43 Heuvelink GBM and EJ Pebesma 2002 Is the ordinary krigingvariance a proper measure of interpolation error In Proceedings ofthe fifth International Symposium on Spatial Accuracy Assessment inNatural Resources and Environmental Sciences (eds G Hunter andK Lowell) Melbourne RMIT University 179-186

44 Pebesma EJ AF Bio RNM Duin 2000 Mapping Sea Bird Den-sities on the North Sea combining geostatistics and generalised linearmodels In WJ Kleingeld and DG Krige editors Geostatistics2000 Cape Town Proceedings of the Sixth International GeostatisticsCongress held in Cape Town South Africa in April 2000

45 Pebesma EJ GBM Heuvelink J Kros 2000 Error assessmentin a soil acidification modelling study efficiency issues and changeof support In GBM Heuvelink and MJPM Lemmens editorsAccuracy 2000 proceedings of the 4th international symposium onspatial accuracy assessment in natural resources and environmentalsciences Delft Delft University Press pp 521-528

46 De Jong SM EJ Pebesma and B Lacaze 2000 Assessing above-ground biomass of Mediterranean forests using airborne imaging spec-trometry and interpolation techniques In GBM Heuvelink andMJPM Lemmens editors Accuracy 2000 proceedings of the 4thinternational symposium on spatial accuracy assessment in natural re-sources and environmental sciences Delft Delft University Press pp161-169

47 Heuvelink GBM EJ Pebesma 2000 Change of support and un-certainty propagation with regional applications of soil process modelsPresented at 4th International Conference on Integrating GIS and En-vironmental Modeling (GISEM4) Problems Prospects and ResearchNeeds Banff Alberta Canada September 2 - 8 2000

15

41 Pebesma EJ 2003 Gstat multivariable geostatistics for S Pro-ceedings of the 3rd International Workshop on Distributed StatisticalComputing (DSC 2003) March 20ndash22 Vienna Austria

42 Heuvelink GBM and Pebesma EJ (2003) Change of supportand uncertainty propagation with regional applications of soil pro-cess models In Parks B O Clarke K M and Crane M P (Ed)Proceedings of the 4th international conference on integrating geo-graphic information systems and environmental modeling problemsprospects and needs for research 2000 Sep 2-8 Boulder CO BoulderUniversity of Colorado Cooperative Institute for Research in Environ-mental Science (www and CD)

43 Heuvelink GBM and EJ Pebesma 2002 Is the ordinary krigingvariance a proper measure of interpolation error In Proceedings ofthe fifth International Symposium on Spatial Accuracy Assessment inNatural Resources and Environmental Sciences (eds G Hunter andK Lowell) Melbourne RMIT University 179-186

44 Pebesma EJ AF Bio RNM Duin 2000 Mapping Sea Bird Den-sities on the North Sea combining geostatistics and generalised linearmodels In WJ Kleingeld and DG Krige editors Geostatistics2000 Cape Town Proceedings of the Sixth International GeostatisticsCongress held in Cape Town South Africa in April 2000

45 Pebesma EJ GBM Heuvelink J Kros 2000 Error assessmentin a soil acidification modelling study efficiency issues and changeof support In GBM Heuvelink and MJPM Lemmens editorsAccuracy 2000 proceedings of the 4th international symposium onspatial accuracy assessment in natural resources and environmentalsciences Delft Delft University Press pp 521-528

46 De Jong SM EJ Pebesma and B Lacaze 2000 Assessing above-ground biomass of Mediterranean forests using airborne imaging spec-trometry and interpolation techniques In GBM Heuvelink andMJPM Lemmens editors Accuracy 2000 proceedings of the 4thinternational symposium on spatial accuracy assessment in natural re-sources and environmental sciences Delft Delft University Press pp161-169

47 Heuvelink GBM EJ Pebesma 2000 Change of support and un-certainty propagation with regional applications of soil process modelsPresented at 4th International Conference on Integrating GIS and En-vironmental Modeling (GISEM4) Problems Prospects and ResearchNeeds Banff Alberta Canada September 2 - 8 2000

15

48 Jong K de D Karssenberg E Pebesma PA Burrough 2000 Anenvironmental modeling language for model construction in the tempo-ral 3D spatial and stochastic dimension prototype Presented at 4thInternational Conference on Integrating GIS and Environmental Mod-eling (GISEM4) Problems Prospects and Research Needs BanffAlberta Canada September 2 - 8 2000

49 Kros J JP Mol-Dijkstra and EJ Pebesma 2000 Calibration andvalidation of a dynamic soil acidification model at the European scaleIn GBM Heuvelink and MJPM Lemmens editors Accuracy2000 proceedings of the 4th international symposium on spatial ac-curacy assessment in natural resources and environmental sciencesDelft Delft University Press pp 381-388

50 Pebesma EJ D Karssenberg K de Jong 2000 The stochastic di-mension in a dynamic GIS Presented at In JG Bethlehem PGMvan der Heijden editors Compstat 2000 Proceedings in Computa-tional Statistics Physica-Verlag Heidelberg pp 379-384

51 Refsgaard JC M Thorsen JB Jensen S Hansen G HeuvelinkE Pebesma S Kleeschulte D Ramaekers 1998 Uncertainty in Spa-tial Decision Support Systems - Methodology related to Prediction ofGroundwater Pollution In V Bavonic and LC Larsen (Eds) Pro-ceedings of the Third International Conference Hydroinformatics 98held in Copenhagen August 24-26 1998 Vol2 1151-1158 BalkemaPublishers Rotterdam

52 Heuvelink GBM P Musters and EJ Pebesma 1997 Spatio-temporal modelling of soil water content In Baaffi E and SchofieldN eds Geostatistics Wollongong 1996 Vol 2 Kluwer AcademicPubl Dordrecht p 1020-1030

53 Pebesma EJ JW de Kwaadsteniet 1997 Mapping spatial andtemporal variation of groundwater quality in the Netherlands In ASoares J Gomez-Hernandez and R Froidevaux eds GeoENV I ndashgeostatistics for environmental applications Kluwer Academic PublDordrecht p 111-122

3 Conferencemeeting (extended) abstracts or posters

1 Hanna Meyer and Edzer Pebesma 2020 Mapping (un)certainty ofmachine learning-based spatial prediction models based on predictorspace distances EGU General Assembly 2020 httpsmeetingorganizercopernicusorgEGU2020EGU2020-8492html

16

2 Edzer Pebesma Wolfgang Wagner Pierre Soille Miha Kadunc NoelGorelick Matthias Schramm Jan Verbesselt Johannes Reiche MatthiasMohr Jeroen Dries Alexander Jacob Markus Neteler Soeren Geb-bert Christian Briese and Pieter Kempeneers 2019 openEO analysesEarth Observation data based on user-defined raster and vector datacube views Geophysical Research Abstracts Vol 21 EGU2019-97372019 EGU General Assembly 2019 abstract poster

3 A Jacob E Pebesma M Neteler W Wagner J Verbesselt M MohrJ Dries R Monsorno P Budhwar C Briese T Mistelbauer MSchramm M Kadunc 2019 OpenEO ndash an API for StandardisedAccess to Big Earth Observation Data in a Landscape of a GrowingNumber of EO Cloud Providers Living Planet Symposium Milan13-17 May 2019

4 A Jacob E Pebesma M Neteler W Wagner J Verbesselt MMohr J Dries R Monsorno P Budhwar C Briese L Foresta MSchramm M Kadunc P Kempeneers N Gorelick 2019 OpenEOndash An API for Standardised Access to Big Earth Observation Data ina Landscape of a Growing Number of EO Cloud Providers EARSeLSymposium 2019

5 Edzer Pebesma Michael Sumner Etienne Racine 2019 Spatial DataScience in the Tidyverse Rstudioconf 2019 Austin Jan 17-18 2019slides video

6 Schramm Matthias Pebesma Edzer Wagner Wolfgang Soille PierreKadunc Miha Gorelick Noel Verbesselt Jan Reiche Johannes Ap-pel Marius Dries Jeroen Jacob Alexander Goszligwein BernhardNeteler Markus Gebbert Soeren Briese Christian KempeneersPieter 2018 openEO An Open Interface To Allow StandardizedCommunication With EO Service Providers Abstract 132 Φ-weekEO Open Science and Future EO ESRIN Frascati 12-16 November2018

7 Edzer Pebesma Wolfgang Wagner Pierre Soille Miha Kadunc NoelGorelick Matthias Schramm Jan Verbesselt Johannes Reiche Mar-ius Appel Jeroen Dries Alexander Jacob Markus Neteler SoerenGebbert Christian Briese and Pieter Kempeneers 2018 openEOan open API for cloud-based big Earth Observation processing plat-forms EGU2018-4957 ESSI22 - Data cubes of Big Earth Data - a newparadigm for accessing and processing Earth Science Data (poster)

8 Matthias Schramm Wolfgang Wagner and Edzer Pebesma 2017 ope-nEO - An open source Interface between EO Data Infrastructures andFront-End Applications 2017 Conference on Big Data from Space

17

(BiDSrsquo17) 28-30 November 2017 Centre de Congres Pierre BaudisToulouse France

9 Verbesselt Jan Pebesma Edzer Hamunyela Eliakim Reiche Jo-hannes DeVries Ben Dutrieux Loic Tsendbazar Nandin-ErdeneHerold Martin 2017 Open Source Software For Change Monitor-ing Using Satellite Image Time Series Overview Challenges And So-lutions Earth Observation Open Science 2017 Conference (ESRINFrascati 25-28 September 2017)

10 Joshi Jigeeshu Edzer Pebesma Marius Appel 2017 Evaluation ofArray Database to Manage and Query Massive Sensor Data EarthObservation Open Science 2017 Conference (ESRIN Frascati 25-28September 2017)

11 Edzer Pebesma Etienne Racine Michael Sumner 2017 ScalableSpatiotemporal Tidy Arrays for R (stars) UseR 2017 Jul 4-7 2017Brussels Belgium

12 Spationdashtemporal point patterns analysis of geolocated tweets to char-acterise urban dynamics Fernando Santa Roberto Henriques JoaquinTorres Edzer Pebesma 2017 Spatial Statistics Jul 4-7 2017 Lan-caster UK

13 Benedikt Graler Christoph Stasch Benedikt Graler Edzer Pebesma2017 EnviroCar - community driven open data car trajectories PosterSpatial Statistics Jul 4-7 2017 Lancaster UK

14 Shivam Gupta Edzer Pebesma Jorge Mateu 2017 Air quality mon-itoring network location optimization for robust Land Use RegressionModel Poster Spatial Statistics Jul 4-7 2017 Lancaster UK

15 Edzer Pebesma 2017 Using R for large spatiotemporal data setsEGU PICO session EGU2017-6585 (slides)

16 Marius Appel Daniel Nust and Edzer Pebesma 2017 ReproducibleEarth observation analytics challenges ideas and a study case oncontainerized land use change detection EGU2017-17610 abstract

17 Meng Lu Marius Appel Edzer Pebesma 2017 Modelling spatiotem-poral change using multidimensional arrays EGU IE31BG958 EGU2017-17610

18 Teresa Rojas Rojas Rafael Vives Dorothea Lemke Carlos CastanedaNancy Hidalgo Gerard Cochonneau Anıbal Sanchez Eric DeharoJavier Herrera Edzer Pebesma Xavier Deparis Stephane Bertani2016 Epidemiology and spatial analysis of cancer in Peru Abstract2016 World Cancer Congress Paris Oct 31-Nov 3 2016 SS-1282

18

19 Sidhu Nanki Pebesma Edzer Camara Gilberto 2016 Exploringland use change in Singapore using Google Earth Engine 6th EARSeLSIG LULC amp 2nd EARSeL LULCNASA LCLUC Workshop

20 Pebesma E 2016 Spatial data in R simple features and futureperspectives UseR The R User Conference 2016 Stanford Jun 27-30 2016 (pdf)

21 Marek Smid Ana Cristina Costa Edzer Pebesma Carlos Granell Areview of downscaling procedures ndash a contribution to the research onclimate change impacts at city scale by Marek Smid et al EGU 2016CL512AS13OS410 EGU2016-6768

22 Daniel Nust Markus Konkol Edzer Pebesma Christian Kray StephanieKlotgen Marc Schutzeichel Jorg Lorenz Holger Przibytzin Dirk Kuss-mann Opening Reproducible Research EGU 2016 ESSI36 EGU2016-7396

23 Edzer Pebesma Simon Scheider Benedikt Graler Christoph Staschand Matthias Hinz An algebra for spatio-temporal information gen-eration EGU 2016 ESSI25 EGU2016-9523 (pdf)

24 Marius Appel Florian Lahn Edzer Pebesma Wouter Buytaert andSimon Moulds Scalable Earth-observation Analytics for Geoscien-tists Spacetime Extensions to the Array Database SciDB EGU 2016ESSI31 EGU2016-11780

25 M Appel E Pebesma G Camara 2015 Scalable In-Database Re-gression Analysis of Large Earth-Observation Datasets EO Open Sci-ence 20 workshop at ESA-ESRIN Frascati IT Oct 12-16 2015

26 D Lemke S Berkemeyer V Mattauch O Heidinger E PebesmaH-W Hense Small-area spatio-temporal analyses of participationrates in the mammography screening program in the city of Dortmund(NW Germany) 10 Jahrestagung der Deutschen Gesellschaft furEpidemiologie 30 September bis 2 Oktober 2015

27 E Pebesma 2015 Spatial Statisticsrsquo New Frontiers Oral presentationat The 17th Annual Conference fo the International Association forMathematical Geosciences (IAMG 2015) Freiberg Sept 5-13 2015(pdf)

28 W Buytaert S Moulds J Skoslashien E Pebesma D Reusser 2015Facilitating hydrological data analysis workflows in R the RHydropackage EGU 2015 session HS33

19

29 JO Skoslashien G Bloschl Gregor Laaha J Parajka E Pebesma AViglione 2015 Developments of rtop ndash interpolation and simulationof data with a variable spatial support EGU 2015 session HS33

30 Meng Lu Edzer Pebesma 2015 Spatio-temporal change modelingwith array data EGU session ESSI25SSS1110

31 Edzer Pebesma 2014 Analyzing Geoscientific Data with R PastPresent Future AGU fall meeting IN22A-01

32 Stasch C D Nust M Rieke A Remke E Pebesma 2014 envi-roCar ndash Open car data and open analysis tools for sustainable trans-portation development The international conferences ICT4S - ICTfor Sustainability Stockholm Sweden 24-27 August 2014 http

2014ict4sorg

33 C Knoth E Pebesma 2014 Detecting Destruction in Conflict Areasin Darfur GEOBIA 2014 - Geographic Object Based Image AnalysisThessaloniki Greece

34 Meng Lu and Edzer Pebesma 2014 Modeling change from large-scalehigh-dimensional spatio-temporal array data EGU General Assembly2014 session ESSI26

35 Christoph Stasch Simon Scheider Edzer Pebesma 2014 Annotatingspatio-temporal datasets for meaningful analysis in the Web EGUGeneral Assembly 2014 session ESSI22

36 Florian Lahn Christian Knoth Kristina Helle Torsten Prinz andEdzer Pebesma 2014 Developing an open source-based spatial datainfrastructure for integrated monitoring of mining areas EGU GeneralAssembly 2014 session ESSI27

37 E Pebesma 2014 HydRology EGU General Assembly 2014 sessionHS33 Open Source Computing in Hydrology

38 Jairo A Torres Edzer Pebesma 2013 State of R in HydrologicalModelling 2nd OpenWater symposium Brussels September 16-172013 (abstract slides)

39 Phuong N Truong Gerard BM Heuvelink Edzer Pebesma Bayesianarea-to-point kriging with expert elicitation of a prior for the pointsupport variogram Spatial Statistics 2013

40 Pebesma E C Stasch S Scheider W Kuhn Towards meaningfulspatial statistics Spatial Statistics 2013 (Rnw file)

20

41 Pebesma E KB Helle C Stasch S Rasouli H Timmermans S-E Walker B Denby 2013 Uncertainty in exposure to air pollutionGeophysical Research Abstracts Vol 15 EGU2013-8362 2013 EGUGeneral Assembly 2013

42 Skoslashien J G Laaha D Koffler G Bloschl E Pebesma J ParajkaA Viglione 2013 Rtop ndash an R package for interpolation of data with avariable spatial support - examples from river networks EGU GeneralAssembly 2013

43 Demuth D D Nuest A Broring E Pebesma The AirQuality Sense-Box Geophysical Research Abstracts Vol 15 EGU2013-5146 2013EGU General Assembly 2013

44 Cornford D C Stasch E Pebesma R Jones L Bastin L Bi-gagli 2013 Building the ldquoUncertainty Enabled Model Webrdquo ndash lessonslearned 2013 Geophysical Research Abstracts Vol 15 EGU2013-7639 2013 EGU General Assembly 2013

45 Rundel C R Bivand E Pebesma rgeos spatial geometry predi-cates and topology operations in R Abstract UseR 2012

46 Nust D E Pebesma 2012 R in the Sensor Web Sensing a ChangingWorld 2012 workshop May 9-11 2012 Wageningen

47 Christoph Stasch Richard Jones Dan Cornford Martin Kiesow MatthewWilliams and Edzer Pebesma 2012 Representing Uncertainties in theSensor Web Sensing a Changing World 2012 workshop May 9-112012 Wageningen

48 Jon Olav Skoslashien G Bloschl G Laaha E J Pebesma J ParajkaA Viglione 2012 Interpolating runoff-related variables with rtopGEOSTATS 2012 Ninth International Geostatistics Congress OsloNorway June 11-15 2012

49 Pebesma E 2012 R for reproducible geographical research AAGmeeting NY Feb 24-27 2012

50 Benecke N K Zimmermann A Muterthies K Pakzad S StephanJ Kateloe A Preuszlige E Pebesma T Prinz 2012 GMES4Miningndash Innovative Geoservices for Exploration and Monitoring of MiningAreas In Proceedings of the 7th International Symposium AIMS2012 Aachen 2012 p 409-419

51 Gerharz LE C Autermann H Hopmann C Stasch E Pebesma2012 Uncertainty visualisation in the Model Web Abstract EGUGeneral Assembly 2012

21

52 Gerharz LE E Pebesma B Denby 2012 Assessing uncertain hu-man exposure to ambient air pollution using environmental models inthe Web Abstract EGU General Assembly 2012

53 Skoslashien JO G Laaha D Koffler G Bloschl E Pebesma J ParajkaA Viglione 2012 Rtop ndash an R package for interpolation along thestream network Abstract EGU General Assembly 2012

54 Proszlig B D Cornford L Gerharz R Jones E Pebesma C StaschM Williams 2011 Are you sure - Open Source Tools for UncertaintyEnabling the Model Web http2011foss4gorgsessionsare-you-sure-open-source-tools-uncertainty-enabling-model-webFOSS4G 2011 September 12 - 16 2011 Boulder Colorado USA

55 Stasch C Autermann C Foerster T Pebesma E 2011 Towardsa Spatiotemporal Aggregation Service in the Sensor Web In StanGeertman Wolfgang Reinhardt and Fred Toppen editors Proceed-ings of the 14th AGILE International Conference on Geographic In-formation Science - Advancing Geoinformation Science for a ChangingWorld Utrecht 2011 AGILE ISBN 978-90-816960-1-2

56 Pebesma E R Bivand 2011 Handling spatio-temporal data in RAAG Space-Time Symposium Apr 12-15 2011 Seattle USA

57 Pebesma E 2011 Grundlagen der raum-zeitlichen Modellierung undAnalyse mit R EDC Entwicklerforum workshop ldquoTime amp Spacerdquo 17- 18032011 Munster

58 Pebesma E 2011 Raum-zeitliche Modellierung und Analyse mit REDC Entwicklerforum workshop ldquoTime amp Spacerdquo 17 - 18032011Munster

59 Dan Cornford Edzer Pebesma Stefano Nativi Matthew WilliamsChristoph Stasch Richard Jones and Lydia Gerharz 2011 Realisingthe Uncertainty Enabled Model Web Abstract EGU General Assem-bly 2011

60 Lydia E Gerharz Benjamin Proszlig Christoph Stasch and Edzer Pebesma2011 A Web-based Uncertainty-enabled Information System for Ur-ban Air Quality Assessment Abstract EGU General Assembly 2011

61 Boluwade A Mateu J Pebesma E and Cabral P (2011) HydrologicModelling and Uncertainty Analysis of Ungauged Watershed UsingMapwindow-SWAT 34th IAHR World Congress in Brisbane Aus-tralia from 26 June to 1 July 2011 ThemeSub-theme Theme 1 - 11Floods

22

62 Dan Cornford Stefano Nativi Edzer Pebesma 2010 Managing Un-certainty in Data and Models UncertWeb AGU Fall meeting Dec13-17 2010 abstract in session IN14 Uncertainty Error and Qualityof Observational Data

63 Edzer Pebesma 2010 Modelling uncertain and fuzzy spatial infor-mation Abstract for the workshop on Multidimensional Geoinfor-mation - advances in spatial information sciences towards modelinggeo-processes (multiGI) Karlsruhe Institute for Technology Oct 14-15 2010

64 IT Stewart H Fritze E Pebesma 2010 Is there acceleration instreamflow timing trends across western North American mountainsGlobal Change and the Worldrsquos Mountains Perth Scotland UK 26-30 September 2010

65 Katharina Hennebohl Edzer Pebesma Werner Muller 2010 Efficientparametric variogram estimation for real-time interpolation of environ-mental monitoring data Geostatistics for environmental applicationsGeoENV 2010 Sept 13-15 Gent Belgium

66 Lydia E Gerharz Edzer J Pebesma 2010 Accounting for uncertain-ties and change of support in spatio-temporal modelling of individualexposure to air pollution Geostatistics for environmental applicationsGeoENV 2010 Sept 13-15 Gent Belgium

67 R Jones L Bastin D Cornford M Williams S Nativi E Pebesma2009 Handling and communicating uncertainty in chained geospatialWeb Services Spatial Accuracy 2010

68 Helle Kristina B Pebesma Edzer J 2009 Conservative Updatingof Sampling Designs Spatial Accuracy 2010

69 Kristina Helle and Edzer Pebesma 2010 Optimizing Spatio-TemporalSampling Designs of Synchronous Static or Clustered MeasurementsGeophysical Research Abstracts Vol 12 EGU2009-12462 EGU Gen-eral Assembly 2009

70 Edzer Pebesma Lydia Gerharz 2009 Visualizing uncertainty in spatio-temporal data Spatial Accuracy 2010

71 Dan Cornford Richard Jones Lucy Bastin Matthew Williams EdzerPebesma and Stefano Nativi 2010 UncertWeb chaining web servicesaccounting for uncertainty Geophysical Research Abstracts Vol 12EGU2010-PREVIEW 2010 EGU General Assembly 2010

23

72 Edzer Pebesma Dan Cornford and Jon Skoslashien 2010 Methods andarchitectures for automated space-time interpolation Geophysical Re-search Abstracts Vol 12 EGU2010-11207 2010 EGU General Assem-bly

73 HH Fritze IT Stewart-Frey EJ Pebesma 2009 Snowmelt RunoffRegime Shifts Across Western North America AGU Fall meeting14-18 december 2009 San Francisco Abstract H33E-0930

74 Lydia Gerharz Edzer Pebesma 2009 A modeling framework for es-timating individual exposure to air pollution 19th Annual conferenceof the international society for exposure science Minneapolis Nov 1-52009

75 Alexandre Zenie Marta Blangiardo Gavin Shaddick Bruce DenbyEdzer Pebesma and Clive Sabel 2009 Uncertainty Characterizationand Visualization within the HEIMTSA project Symposium rdquoCharac-terizing and Communicating Uncertainties within Assessments of Hu-man Exposures to Chemical Risksrdquo (ID pvz73m) at 2009 SRA AnnualMeeting rdquoRisk Analysis The Evolution of a Sciencerdquo in BaltimoreMaryland on 6th-9th December 2009

76 Pebesma EJ K Hennebohl and J O Skoslashien 2009 Developingautomatic interpolation services experiences from the INTAMAP FP6project Geophysical Research Abstracts Vol 11 EGU2009-11953EGU General Assembly 2009

77 Lydia E Gerharz Edzer J Pebesma 2009 Usability of interactiveand non-interactive visualisation of uncertain geospatial informationGeoinformatik 2009

78 Katharina Hennebohl Edzer Pebesma 2008 Providing R function-ality through the OGC Web Processing Service UseR The R UserConference 2008 Technische Universitat Dortmund Germany August12-14 2008

79 Skoslashien JO EJ Pebesma 2008 Real-time mapping in emergencysituations - some preliminary results Geophysical Research AbstractsVol 10 EGU2008-A-09373 2008 EGU General Assembly 2008

80 Hiemstra P E Pebesma GBM Heuvelink C Twenhofel 2008Realtime automatic interpolation of ambient gamma dose rates fromthe Dutch Radioactivity Monitoring Network In U Stohlker (Ed)Meeting of experts on rdquoExternal Dose Rate Monitoring at the Schauins-land Intercalibration Siterdquo Freiburg Germany November 28-30 2007

24

81 Skoslashien JO E Pebesma O Baume Gerard Heuvelink 2008 TheINTAMAP project first results In U Stohlker (Ed) Meeting ofexperts on rdquoExternal Dose Rate Monitoring at the Schauinsland In-tercalibration Siterdquo Freiburg Germany November 28-30 2007

82 Skoslashien JO EJ Pebesma and G Bloschl 2007 Geostatistics for au-tomatic estimation of environmental variables - simple solutions Geo-physical Research Abstracts Vol 9 07879 SRef-ID 1607-7962graEGU2007-A-07879

83 O Baume JO Skoslashien GBM Heuvelink EJ Pebesma 2007 Geo-statistial aproach to data harmonization Abstract Presentation atStatGIS 2007 Sept 25-27 2007 Klagenfurt Austria

84 De Nijs ACM EJ Pebesma 2007 Spatial uncertainty in landuse models An alternative method to estimate uncertainty in logisticregression models Proceedings of the 15th European Colloquium onTheoretical and Quantitative Geography Also available as Chapter8 in Ton de Nijs 2009 Modelling land use change Improving theprediction of future land use patterns PhD thesis Utrecht UniversityNetherlands Geographical Studies 386 ISBN 978-90-6809-429-9

85 JO Skoslashien O Baume EJ Pebesma GBM Heuvelink 2007 Iden-tifying and removing heterogeneities between monitoring networksAbstract Presentation at StatGIS 2007 Sept 25-27 2007 KlagenfurtAustria

86 Pebesma EJ Karssenberg D De Jong K 2006 Dynamic visualisa-tion of spatial and spatio-temporal probability density functions TheSeventh International Symposium on Spatial Accuracy Assessment inNatural Resources and Environmental Sciences 5-7 July 2006 LisbonPortugal

87 De Nijs T Pebesma EJ 2006 Uncertainties in logistic regres-sion predictions an application to land use change modelling TheSeventh International Symposium on Spatial Accuracy Assessment inNatural Resources and Environmental Sciences 5-7 July 2006 LisbonPortugal

88 R Bivand V Gomez-Rubio A Lopez-Quılez E Pebesma PJ RibeiroB Rowlingson 2006 R as an open source environment for spatial epi-demiology Spatial Epidemiology Conference Imperial College Lon-don UK 23-25 May 2006

89 Briggs DJ R Beelen G Hoek C de Hoogh E Pebesma G Shad-dick D Vienneau 2005 Modelling high resolution variations in air

25

pollution at the continental scale A comparison of GIS-based meth-ods Program and Abstracts The Seventeenth Conference of theInternational Society for Environmental Epidemiology (ISEE) Ab-stracts Epidemiology 16 (5) S84-S84 SEP 2005

90 Shaddick G Kounali D Briggs DJ Beelen R Hoek G de Hoogh CPebesma E Vienneau D 2005 Using Bayesian hierarchical modellingto produce high resolution maps of air pollution in the EU Programand Abstracts The Seventeenth Conference of the International Soci-ety for Environmental Epidemiology (ISEE) Abstracts Epidemiology16 (5) S89-S89 SEP 2005

91 Straatsma M H Middelkoop EJ Pebesma C Wesseling (2004)Mapping of vegetation characteristics using lidar and spectral remotesensing In N Nouben and AG van Os (eds) NCR-days 2004Dealing with Floods within Constraints NCR-publication 24-2004Netherlands Centre for River Studies Delft (ISSN 1568-234X)

92 Schuurmans JM Bierkens MFP Uijlenhoet R Torfs P PebesmaEJ (2004) Estimating high resolution rainfall fields based on mete-orological radar and rain gauges for operational water managementEuropean Geosciences Union 1st General Assembly Nice France 25ndash30 April 2004

93 Bierkens MFP Pebesma EJ (2004) Space-time mapping of watertable elevation using autoregressive external drift kriging EuropeanGeosciences Union 1st General Assembly Nice France 25ndash30 April2004

94 Edzer J Pebesma Jaap de Gruijter Gerard BM Heuvelink (2004)A Method for Classifying Land Parcels as Receptive or Unreceptiveto Nitrate Leaching The combined TIES 2004 (The Fifteenth AnnualConference of The International Environmetrics Society) and ACCU-RACY 2004 (The Sixth International Symposium on Spatial AccuracyAssessment in Natural Resources and Environmental Sciences) meet-ing Portland Maine USA June 28 - July 1 2004

95 Roger Bivand Edzer Pebesma and Barry Rowlingson (2004) Genericfunctions for spatial data UseR 2004 The R User Conference May20-22 2004 Vienna Austria

96 Pebesma EJ SM de Jong (2002) Predicting aboveground biomassusing field data and high resolution spectral imaging data TIES - TheInternational Environmentrics Society - 2002 conference

97 Pebesma EJ and GBM Heuvelink (2001) Sequential simulation ofGaussian random fields with unknown mean function an application

26

81 Skoslashien JO E Pebesma O Baume Gerard Heuvelink 2008 TheINTAMAP project first results In U Stohlker (Ed) Meeting ofexperts on rdquoExternal Dose Rate Monitoring at the Schauinsland In-tercalibration Siterdquo Freiburg Germany November 28-30 2007

82 Skoslashien JO EJ Pebesma and G Bloschl 2007 Geostatistics for au-tomatic estimation of environmental variables - simple solutions Geo-physical Research Abstracts Vol 9 07879 SRef-ID 1607-7962graEGU2007-A-07879

83 O Baume JO Skoslashien GBM Heuvelink EJ Pebesma 2007 Geo-statistial aproach to data harmonization Abstract Presentation atStatGIS 2007 Sept 25-27 2007 Klagenfurt Austria

84 De Nijs ACM EJ Pebesma 2007 Spatial uncertainty in landuse models An alternative method to estimate uncertainty in logisticregression models Proceedings of the 15th European Colloquium onTheoretical and Quantitative Geography Also available as Chapter8 in Ton de Nijs 2009 Modelling land use change Improving theprediction of future land use patterns PhD thesis Utrecht UniversityNetherlands Geographical Studies 386 ISBN 978-90-6809-429-9

85 JO Skoslashien O Baume EJ Pebesma GBM Heuvelink 2007 Iden-tifying and removing heterogeneities between monitoring networksAbstract Presentation at StatGIS 2007 Sept 25-27 2007 KlagenfurtAustria

86 Pebesma EJ Karssenberg D De Jong K 2006 Dynamic visualisa-tion of spatial and spatio-temporal probability density functions TheSeventh International Symposium on Spatial Accuracy Assessment inNatural Resources and Environmental Sciences 5-7 July 2006 LisbonPortugal

87 De Nijs T Pebesma EJ 2006 Uncertainties in logistic regres-sion predictions an application to land use change modelling TheSeventh International Symposium on Spatial Accuracy Assessment inNatural Resources and Environmental Sciences 5-7 July 2006 LisbonPortugal

88 R Bivand V Gomez-Rubio A Lopez-Quılez E Pebesma PJ RibeiroB Rowlingson 2006 R as an open source environment for spatial epi-demiology Spatial Epidemiology Conference Imperial College Lon-don UK 23-25 May 2006

89 Briggs DJ R Beelen G Hoek C de Hoogh E Pebesma G Shad-dick D Vienneau 2005 Modelling high resolution variations in air

25

pollution at the continental scale A comparison of GIS-based meth-ods Program and Abstracts The Seventeenth Conference of theInternational Society for Environmental Epidemiology (ISEE) Ab-stracts Epidemiology 16 (5) S84-S84 SEP 2005

90 Shaddick G Kounali D Briggs DJ Beelen R Hoek G de Hoogh CPebesma E Vienneau D 2005 Using Bayesian hierarchical modellingto produce high resolution maps of air pollution in the EU Programand Abstracts The Seventeenth Conference of the International Soci-ety for Environmental Epidemiology (ISEE) Abstracts Epidemiology16 (5) S89-S89 SEP 2005

91 Straatsma M H Middelkoop EJ Pebesma C Wesseling (2004)Mapping of vegetation characteristics using lidar and spectral remotesensing In N Nouben and AG van Os (eds) NCR-days 2004Dealing with Floods within Constraints NCR-publication 24-2004Netherlands Centre for River Studies Delft (ISSN 1568-234X)

92 Schuurmans JM Bierkens MFP Uijlenhoet R Torfs P PebesmaEJ (2004) Estimating high resolution rainfall fields based on mete-orological radar and rain gauges for operational water managementEuropean Geosciences Union 1st General Assembly Nice France 25ndash30 April 2004

93 Bierkens MFP Pebesma EJ (2004) Space-time mapping of watertable elevation using autoregressive external drift kriging EuropeanGeosciences Union 1st General Assembly Nice France 25ndash30 April2004

94 Edzer J Pebesma Jaap de Gruijter Gerard BM Heuvelink (2004)A Method for Classifying Land Parcels as Receptive or Unreceptiveto Nitrate Leaching The combined TIES 2004 (The Fifteenth AnnualConference of The International Environmetrics Society) and ACCU-RACY 2004 (The Sixth International Symposium on Spatial AccuracyAssessment in Natural Resources and Environmental Sciences) meet-ing Portland Maine USA June 28 - July 1 2004

95 Roger Bivand Edzer Pebesma and Barry Rowlingson (2004) Genericfunctions for spatial data UseR 2004 The R User Conference May20-22 2004 Vienna Austria

96 Pebesma EJ SM de Jong (2002) Predicting aboveground biomassusing field data and high resolution spectral imaging data TIES - TheInternational Environmentrics Society - 2002 conference

97 Pebesma EJ and GBM Heuvelink (2001) Sequential simulation ofGaussian random fields with unknown mean function an application

26

pollution at the continental scale A comparison of GIS-based meth-ods Program and Abstracts The Seventeenth Conference of theInternational Society for Environmental Epidemiology (ISEE) Ab-stracts Epidemiology 16 (5) S84-S84 SEP 2005

90 Shaddick G Kounali D Briggs DJ Beelen R Hoek G de Hoogh CPebesma E Vienneau D 2005 Using Bayesian hierarchical modellingto produce high resolution maps of air pollution in the EU Programand Abstracts The Seventeenth Conference of the International Soci-ety for Environmental Epidemiology (ISEE) Abstracts Epidemiology16 (5) S89-S89 SEP 2005

91 Straatsma M H Middelkoop EJ Pebesma C Wesseling (2004)Mapping of vegetation characteristics using lidar and spectral remotesensing In N Nouben and AG van Os (eds) NCR-days 2004Dealing with Floods within Constraints NCR-publication 24-2004Netherlands Centre for River Studies Delft (ISSN 1568-234X)

92 Schuurmans JM Bierkens MFP Uijlenhoet R Torfs P PebesmaEJ (2004) Estimating high resolution rainfall fields based on mete-orological radar and rain gauges for operational water managementEuropean Geosciences Union 1st General Assembly Nice France 25ndash30 April 2004

93 Bierkens MFP Pebesma EJ (2004) Space-time mapping of watertable elevation using autoregressive external drift kriging EuropeanGeosciences Union 1st General Assembly Nice France 25ndash30 April2004

94 Edzer J Pebesma Jaap de Gruijter Gerard BM Heuvelink (2004)A Method for Classifying Land Parcels as Receptive or Unreceptiveto Nitrate Leaching The combined TIES 2004 (The Fifteenth AnnualConference of The International Environmetrics Society) and ACCU-RACY 2004 (The Sixth International Symposium on Spatial AccuracyAssessment in Natural Resources and Environmental Sciences) meet-ing Portland Maine USA June 28 - July 1 2004

95 Roger Bivand Edzer Pebesma and Barry Rowlingson (2004) Genericfunctions for spatial data UseR 2004 The R User Conference May20-22 2004 Vienna Austria

96 Pebesma EJ SM de Jong (2002) Predicting aboveground biomassusing field data and high resolution spectral imaging data TIES - TheInternational Environmentrics Society - 2002 conference

97 Pebesma EJ and GBM Heuvelink (2001) Sequential simulation ofGaussian random fields with unknown mean function an application

26

to heavy metal pollution data Abstract book 4th conference of theWorking Group on Pedometrics of the International Union of Soil Sci-ence (Ed M van Meirvenne) Ghent University Ghent (pp 84-84)

98 Heuvelink GBM and EJ Pebesma (2001) Is there anything wrongwith the ordinary kriging variance Abstract book 4th conference ofthe Working Group on Pedometrics of the International Union of SoilScience (Ed M van Meirvenne) Ghent University Ghent (pp 13-13)

4 Invited paperspresentations

1 Edzer Pebesma 2019 From Data Science to Spatial Data ScienceKeynote at Spatial Data Science Conference Oct 16 2019 NY slidesvideo

2 Edzer Pebesma 2019 Towards Spatial Data Science Jul 12 2019Keynote at Spatial Statistics 2019 Towards Spatial Data ScienceStiges Spain Jul 10-13 2019 slides

3 Edzer Pebesma 2019 Spatial Data Science with R Jul 11 2019CREAF Catalunya httpwwwcreafcateventseventscreaftalks-edzer-pebesma

4 Edzer Pebesma 2018 Spatial Data Science with R Nov 14 DigitalEarth Colloquium Series Univ of Goettingen (pdf)

5 Edzer Pebesma 2018 Tidy spatial data analysis Rstudioconf 2018Feb 2 2018 (slides video)

6 Edzer Pebesma 2017 New developments in r-spatial Keynote atHands-on Global Soil Information Facilities (GSIF) 15-19 May 2017Wageningen Netherlands (video)

7 Edzer Pebesma 2017 Incentives and rewards in scientific softwarecommunities Keynote rdquoSoftware and Services for Science (S3)rdquo 2ndConference on Non-Textual Information May 10-11 2017 TIB Han-nover (slides video)

8 Edzer Pebesma 2016 Simple Features Now on CRAN R Consortiumblog

9 Edzer Pebesma 2016 Scalable Spatiotemporal Geostatistics Dept ofStatistics University of Innsbrueck Dec 15 2016 (pdf)

10 Edzer Pebesma 2016 Reproducible Research in Practice Repro-ducible Research Workshop UZH Zurich Sept 13-14 2016

27

11 Edzer Pebesma 2016 Breaking down barriers in the scientific use ofEO data EODC Forum 2016 31st May ndash 1st June 2016

12 Edzer Pebesma 2016 Support of observations and predictions in spa-tial and temporal statistics practical aspects and software challengesDAGStat 2016 Mar 14-18 2016 Computational Statistics and Statis-tical Software section (pdf)

13 Edzer Pebesma 2015 Meaningful spatial statistics Geomatik Semi-nar ETH Zurich Nov 19 2015

14 Edzer Pebesma 2015 On generating spatio-temporal data HunterCollege CUNY Geography Seminar Series Oct 5 2015

15 Edzer Pebesma 2015 On generating spatio-temporal data Wagenin-gen UniversityResearch Center Sept 30 2015

16 Edzer Pebesma 2014 Analyzing Spatial and Spatio-Temporal Datawith R Bay Area useR Group meeting Wednesday December 172014

17 Edzer Pebesma Christoph Stasch Benedikt Graler Simon Scheider2014 Meaningfully Integrating Big Earth Science Data AGU fallmeeting invited contribution IN33A-3757 (abstract e-poster)

18 E Pebesma 2014 Visualizing uncertainty in spatial and spatiotempo-ral field data Keynote at workshop on Visually-Supported Reasoningwith Uncertainty held during GIScience 2014 Sept 23 2014 (slides)

19 E Pebesma 2014 Spatial and temporal support of meteorologi-cal observations and predictions Keynote lecture at httpwww

dailymeteoorg abstract

20 E Pebesma 2014 Are current spatial databases useful for meaningfulanalysis Presentation held for an ad-hoc symposium in Utrecht May8 2014 and as GI ForumERCIS lunch seminar in Munster Apr 222014

21 E Pebesma 2014 Visualizing and communicating uncertainty in theearth and environmental sciences a review EGU General Assembly2014 inivited contribution to session SSS111ESSI36 Communica-tion of uncertainty about information in earth sciences

22 Edzer Pebesma 29 Jan 2013 Where do spatial statistics and geoin-formatics meet Geodatischen Kolloquium der Leibniz UniversitatHannover (slides)

28

23 Edzer Pebesma 2012 The uncertainty-enabled model web conceptsand tools Workshop on Uncertainty Quantification for Climate andEnvironmental Models UCL 29 June 2012

24 Edzer Pebesma 2011 Spatial data quality and error propagation inspatio-temporal modelling in practice Keynote at 7th InternationalSymposium on Spatial Data Quality (ISSDQ 2011) Raising awarenessof Spatial Data Quality (Coimbra PT 12-14 October 2011)

25 Edzer Pebesma 2010 Modelling spatio-temporal data with R Invitedlecture at GeoInfo 2010 November 28 to December 1 2010 Camposdo Jordao and on December 2 2010 at INPE Sao Jose dos CamposSao Paulo Brazil

26 Edzer Pebesma 2010 Modelling uncertain and fuzzy spatial infor-mation Abstract for the workshop on Multidimensional Geoinfor-mation - advances in spatial information sciences towards modelinggeo-processes (multiGI) Karlsruhe Institute for Technology Oct 14-15 2010

27 Edzer Pebesma 2010 Open geostatistics for global change Inaugurallecture faculty of geosciences University of Muenster June 25 2010

28 Invited talk Interoperability and automated mapping the past theINTAMAP project and the future Agaduc workshop Dec 4 2008

5 Books reports book chapters etc

1 Pebesma Edzer Wagner Wolfgang Schramm Matthias Von BeringeAlexandra Paulik Christoph Neteler Markus Reiche JohannesVerbesselt Jan Dries Jeroen Goor Erwin Mistelbauer ThomasBriese Christian Notarnicola Claudia Monsorno Roberto MarinCarlo Jacob Alexander Kempeneers Pieter Soille Pierre (2017November 23) OpenEO - a Common Open Source Interface BetweenEarth Observation Data Infrastructures and Front-End Applications(Version 10) Zenodo httpdoiorg105281zenodo1065474

2 GBM Heuvelink E Pebesma B Graler 2015 Space-Time Geo-statistics In S Shekhar H Xiong and X Zhou Encyclopedia ofGIS Springer International Publishing pages 1ndash7 101007978-3-319-23519-6 1647-1

3 Matt Duckham Edzer Pebesma Kathleen Stewart Andrew U Frank2014 Geographic Information Science 8th International ConferenceGIScience 2014 Vienna Austria September 24-26 2014 ProceedingsLecture Notes in Computer Science Volume 8728

29

4 Kathleen Stewart Edzer Pebesma Gerhard Navratil Paolo Foglia-roni Matt Duckham (eds) Extended Abstract Proceedings of theGIScience 2014 GEOINFO 40 Department of Geodesy and Geoin-formation Vienna University of Technology

5 Rehr M E Pebesma B Graler 2013 Detecting outlying observa-tions and structural changes in European air quality data ETCACMTechnical Paper 201216 Released May 2013

6 Christoph Stasch Edzer Pebesma Lydia Gerharz Benedikt Graler2013 Error-Aware Spatio-temporal Aggregation in the Model WebIn Vandenbroucke Danny Bucher Benedicte Crompvoets Joep(Eds) Geographic Information Science at the Heart of Europe Lec-ture Notes in Geoinformation and Cartography (pdf)

7 Bivand RS E Pebesma V Gomez-Rubio 2013 Applied SpatialData Analysis with R Second edition Springer NY

8 Edzer Pebesma 2012 Profile geoinformatics Public service reviewEuropean science and technology - issue 16

9 Kristina B Helle Edzer Pebesma 2012 Stationary Sampling DesignsBased on Plume Simulations Chapter 14 in Jorge Mateu and WernerG Muller (eds) Spatio-temporal Design Advances in Efficient DataAcquisition Wiley 348 pp

10 Graler B L Gerharz E Pebesma 2012 Spatio-temporal analy-sis and interpolation of PM10 measurements in Europe ETCACMTechnical Paper 201110 Released 20120130

11 Gerharz L B Graler E Pebesma 2011 Measurement artefactsand inhomogeneity detection ETCACM Technical Paper 20118Released 20111206

12 Schwering A E Pebesma Kai Behncke 2011 Geoinformatik 2011ldquoGeochangerdquo 15-17 Juni 2011 Munster Germany KonferenzbandIfgiPrints band 41 272 pp

13 Durrfeld J J Bisier and E Pebesma 2011 An OGC Web ProcessingService for automated interpolation Book chapter in Advances inWeb-based GIS Mapping Services and Applications Editor(s) Song-nian Li Suzana Dragicevic Bert Veenendaal CRC Press 400 pp

14 Hennebohl K L Vinhas E pebesma and G Camara (Eds) 2010GIScience for environmental change Symposium proceedings Nov 272010 Campos de Jordao (Sao Paulo) Brazil ifgiPrints Band 40 66pages

30

15 Pebesma EJ 2009 How we build geostatistical models and dealwith their output In J Pilz (Ed) Interfacing Geostatistics and GISSpringer Berlin httpdxdoiorg101007978-3-540-33236-7

16 Bivand RS EJ Pebesma V Gomez-Rubio 2008 Applied spatialdata analysis with R Springer New York

17 Pebesma E M Bishr Th Bartoschek (Eds) 2008 GI-Days 2008Proceedings of the 6th Geographic Information Days June 16-182008 Munster Germany IfGI prints 32 337 pp

18 Pebesma EJ RNM Duin (2006) Spatial patterns of temporalchange in North Sea sediment quality on different spatial scales Un-published report available from httpwwwgeoguunl~pebesma

rikz

19 Pebesma EJ (2005) Mapping radioactivity from monitoring dataautomating the classical geostatistical approach In G Dubois (Ed-itor) Automatic mapping algorithms for routine and emergency moni-toring data Report on the Spatial Interpolation Comparison (SIC2004)exercise Office for Official Publications of the European CommunitiesLuxembourg EUR 21595 EN ISBN 92-894-9400-X (150 pp)

20 De Jong SM E Pebesma FD van der Meer 2004 Spatial variabil-ity mapping methods image analysis and pixels In SM de JongFD van der Meer (eds) Remote sensing image analysis includingthe spatial domain Kluwer Dordrecht (359 pp) pp 17ndash35

21 Pebesma EJ and AMF Bio 2002 Landsdekkende interpolatie vanaanwezigheid van plantensoorten ICG report 024 59 + v pp UtrechtUniversity

22 Pebesma EJ 2002 Interpolating sea bird densities cokriging tem-poral changes and block aggregate estimates ICG report 025 21 +v pp Utrecht University

23 Pebesma EJ RNM Duin AMF Bio 2000 Spatial Interpolationof sea bird densities on the Dutch part of the North Sea ICG report0010 130 + v pages Utrecht University

24 Pebesma EJ 2001 Gstat userrsquos manual Technical report Deptof Physical Geography Utrecht University Utrecht The Netherlands(103 pp PDF available from httpwwwgstatorg or here)

25 Stein A E Pebesma (ed) 1999 GIS en waarachtig Symposiumstatistische software Amsterdam ISBN 90-9013205-8 152 pages (inDutch)

31

26 Pebesma EJ 1996 Mapping Groundwater Quality in the Nether-lands Utrecht University Utrecht Netherlands Geographical Studies199 (PhD thesis pdf)

27 Pebesma EJ and JW de Kwaadsteniet 1995 Een landsdekkendbeeld van veranderingen in de Nederlandse grondwaterkwaliteit op 5tot 17 meter diepte (Maps of temporal changes in groundwater qualityin the Netherlands at 5 ndash 17 metre depth) National Institute of PublicHealth and the Environment Bilthoven Report No 714810015 (inDutch)

28 Pebesma EJ and JW de Kwaadsteniet 1994 Een landsdekkendbeeld van de Nederlandse grondwaterkwaliteit op 5 tot 17 meter dieptein 1991 (Maps of groundwater quality in the Netherlands at 5 ndash 17metre depth in 1991) National Institute of Public Health and theEnvironment Bilthoven Report No 714810014 (in Dutch)

6 Standard documents

1 Uncertainty Markup Language (UncertML) M Williams D Corn-ford L Bastin and E Pebesma (eds) OGC Discussion paper 08-122r2(pdf) See also httpwwwuncertmlorg

7 Published reviews

1 Pebesma E M Appel 2019 Interactive comment on rdquoEarth systemdata cubesunravel global multivariate dynamicsrdquo by Miguel D Ma-hecha et al Earth System Dynamics httpswwwearth-syst-dynam-discussnetesd-2019-62

2 Pebesma E Package Review of osmdata Software review for ROpen-Sci

3 Pebesma E ldquoExtending Rrdquo by John M Chambers Book reviewJournal of Agricultural Biological and Environmental Statistics

4 Pebesma E Interactive discussion Review of Ordinary kriging as atool to estimate historical daily streamflow records HESSD

5 Pebesma E Interactive comment on ldquoAn open and extensible frame-work for spatially explicit land use change modelling in R the lulccRpackage (010)rdquo by S Moulds et al

32

6 Pebesma E Interactive comment on ldquoTopological and canonical krig-ing for design-flood prediction in ungauged catchments an improve-ment over a traditional regional regression approachrdquo by S A Arch-field et al

7 Graler B E Pebesma Review of rdquoInterpolation of groundwater qual-ity parameters with some values below the detection limitrdquo by ABardossy

8 Pebesma E 2010 Is PSBI still a geostatistical interpolation methodInteractive comment on rdquoGeostatistical regionalization of low-flow in-dices PSBI and Top-Krigingrdquo by S Castiglioni et al

9 Pebesma EJ 2004 Review of Image analysis Random Fields andMarkov Chain Monte Carlo Methods a mathematical introduction byG Winkler Kwantitatieve methoden 72

10 Pebesma EJ 2003 Review of The elements of statistical learn-ing by T Hastie R Tibshirani and J Friedman The InternationalEnvironmetrics Society Newsletter Volume 9 No 1 p 13

11 Pebesma EJ 1999 Review of Multivariate Geostatistics An Intro-duction with Applications by H Wackernagel Earth-Science Reviews48 pp 132-133

8 Under reviewaccepted for publication

1 Hanna Meyer Edzer Pebesma Predicting into unknown space Esti-mating the area of applicability of spatial prediction models Submit-ted preprint at httpsarxivorgabs200507939

2 Jairo Arturo Torres Matallana Benedikt Graler Ulrich Leopold andEdzer Pebesma submitted Spatio-temporal rainfall stochastic sim-ulation for distributed GIS hydrologic and stormwater modelling ac-counting for uncertainty propagation

3 Milenkovic Milutin Verbesselt Jan Dries Jeroen Masiliunas DainiusMırt Andrei De Sy Veronique Reiche Johannes Wiell DanielJonckheere Inge Schramm Matthias Wagner Wolfgang PebesmaEdzer (2020) Demonstration of the openEO API for Analyzing Sentinel-1 Time Series for Monitoring Agriculturally Driven Forest Loss in theBrazilian Amazon submitted to EO for Agriculture under Pressure2020

33

4 Kati Krahnert Melinda Vigh Christian Knoth Henning TeicknerMyagmartseren Purevtseren Munkhnaran Sugar Edzer Pebesma sub-mitted Household mobility as response to an extreme weather eventInsights from novel trajectory data

9 Editorial boardsguest editorials

1 Co-Editor-in-Chief Journal of Statistical Software Feb 2015 ndash present

2 Associate editor Spatial Statistics 2011 ndash 2019

3 Co-Editor-in-Chief Computers and Geosciences May 2014 ndash Dec 2017

4 Associate editor Journal of Statistical Software Jun 2013 ndash Feb 2015

5 Associate editor Computers and Geosciences Apr 2013 ndash May 2014

6 Editorial board member Environments 2013 ndash 2014

7 Editorial board Catena 2006 ndash 2009

8 Special Section editor with Thomas Romary on a Spatial Statisticsspecial issue on GeoENV 2014

9 T Hengl E Pebesma R J Hijmans 2015 Spatial and spatio-temporalmodeling of meteorological and climatic variables using Open Sourcesoftware Spatial Statistics in press

10 Special Issue editor with Roger Bivand and Paulo Justiano Ribeiro Jrfor a Journal of Statistical Software special issue on Spatial Statistics

11 Gerard Heuvelink Edzer Pebesma Alfred Stein 2013 Spatial statis-tics for mapping the environment International Journal of AppliedEarth Observation and Geoinformation Volume 22 Pages 1ndash2

12 A Stein E Pebesma and G Heuvelink 2012 Editorial SpatialStatistics Vol 1 pages 1-2

13 Alfred Stein Edzer Pebesma and Gerard Heuvelink 2011 Edito-rial Procedia Environmental Sciences Volume 7 Pages 1-400 SpatialStatistics 2011 Mapping Global Change

14 Dubois G D Cornford D Hristopulos E Pebesma and J Pilz 2010Introduction to this special issue on Geoinformatics for EnvironmentalSurveillance Computers amp Geosciences 37 277-279

34

10 Tutorialsworkshops etc

1 Edzer Pebesma 2017 R Python and Big Data openEO EDC Work-shop rdquoBig Data Analytics amp GISrdquo September 21-22 2017 Munsterslides

2 Edzer Pebesma 2017 Spatial data in R new directions WorkshopUseR 2017 Jul 4-7 Brussels Belgium slides

3 Daniel Nust Edzer Pebesma Vicky Steeves 2017 Reproducible com-putational research in the publication cycle Short course EGU 2017SC81

4 Handling and analyzing spatial spatiotemporal and movement dataUseR The R User Conference 2016 Stanford Jun 27-30 2016

5 Chue Hong Neil Hammitzsch Martin Hufton Andrew NetelerMarkus Pebesma Edzer van Edig Xenia Wenig Philip 2015 OpenScience goes Geo ndash Part II Scientific Software Short course held atthe European Geosciences Union General Assembly 2015 The talksare available at YouTube slides at Zenodo

6 Various geostat-courseorg videorsquos 2012 2014

7 Analysing spatio-temporal data with R Agile Leuven May 14 2013

8 Software for spatio-temporal analysis Session on Spatial Statistics2013

9 Analysing spatio-temporal data with R Workshop at Spatial Statis-tics Jun 4 2013

10 Handling and Analyzing Spatio-temporal Data in R Tutorial at UseR2011 The R User Conference 2011 August 16-18 2011 University ofWarwick Coventry UK

11 Spatiotemporal Data Handling in R Tutorial at GeoINFO 2010 XIBrazilian Symposium on GeoInformatics November 29-Dec 1 2010at Campos do Jordao Brazil

12 Handling and analyzing spatio-temporal data in R Workshop 21-22 Mar 2011 Workshop at institute for geoinformatics University ofMuenster Germany

13 GI science for improving risk and resource management in the Brazil-ian Amazon Gilberto Camara Edzer Pebesma and Giovana Mira deEspindola Tuturial at Geoinformatik 2011 15-17 June 2011 MunsterGermany

35

14 GI science for environmental change use cases the Brazilian AmazonGiovana Mira de Espindola Gilberto Camara and Edzer PebesmaWorkshop at Geoinformatik 2011 15-17 June 2011Munster Germany

11 Published software tutorials (R package vignettesor task views)

1 Pebesma E R Bivand 2005 S Classes and Methods for SpatialData the sp Package Vignette in R package sp

2 Pebesma E 2011 sp overlay and aggregation Vignette in R pack-age sp

3 Pebesma E 2013 Customising spatial data classes and methods inR package sp

4 Pebesma E 2011 spacetime Spatio-Temporal Data in R Vignettein R package spacetime

5 Pebesma E 2011 Spatio-temporal overlay and aggregation Vi-gnette in R package spacetime

6 Pebesma E 2011 Spatio-temporal objects to proxy a PostgreSQLtable Vignette in R package spacetime

7 Pebesma E 2011 The meuse data set a brief tutorial for the gstatR package Vignette in R package gstat

8 Pebesma E 2011 The pairwise relative semivariogram Vignette inR package gstat

9 Pebesma E 2011 Spatio-temporal geostatistics using gstat Vi-gnette in R package gstat

10 Pebesma E 2013 CRAN Task View Handling and AnalyzingSpatio-Temporal Data

11 Pebesma E 2016 Units of Measurement for R Vectors an Introduc-tion

36