new tools to create a w matrix that represents the socioeconomic reality of the study data
DESCRIPTION
Duque, J. C.; Janikas, M. V.; Rosenshein, L.; Scott, L. (2011) New tools to create a W matrix that represents the socioeconomic reality of the study data. In 51st European Congress of the Regional Science Association International, Barcelona, Spain. 30th August - 3rd September.TRANSCRIPT
IntroductionTools
Applications
New tools to create a W matrix that representsthe socioeconomic reality of the study data.
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2)
(1) Rise-group (Department of Economics - EAFIT University)(2) ESRI
ERSAAugust, 2011
Barcelona
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Outline
1 Introduction
2 ToolsClusterPyGeoGrouperArcGIS
3 ApplicationsApplication 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatialautocorrelation
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Outline
1 Introduction
2 ToolsClusterPyGeoGrouperArcGIS
3 ApplicationsApplication 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatialautocorrelation
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Outline
1 Introduction
2 ToolsClusterPyGeoGrouperArcGIS
3 ApplicationsApplication 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatialautocorrelation
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
W matrices: types of representation (Based onAldstadt and Getis, 2006)
Type I: Theoretical notion of spatial associationThere exist some theory behind its definitionIt is exogenous to the model
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
W matrices: types of representation (Based onAldstadt and Getis, 2006)
Type II: Geometric indicator of spatial nearnessExogenousUseful when absence of theoryThe only assumption here is that near areas are morerelated than areas that are further apart.
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
W matrices: types of representation (Based onAldstadt and Getis, 2006)
Type III: Descriptive expression of the spatial association withina set of data
Modeler allows study data to speak for themselves.Extract the spatial relationships from the data.Ensure that the complexity of spatial association withintheir data will be included in the model.Types I and II: explanatory models; and type III: descriptivemodels.
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
W matrices: types of representation (Based onAldstadt and Getis, 2006)
Type III: Descriptive expression of the spatial association withina set of data
There exist many algorithms in the literature that can beutilized to construct this type of matrices.Most of them are just in the papers, its implementation isnot available to other researchers.
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Objectives
At leastTo pull the methods out of the papers into the computer
Ultimate goalTo make a development one standard application to apply,customize and compare algorithms in a manner that has notexisted before
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Tools for constructing type III W matrices
DescriptionAlgorithms for spatially constrained clustering.
Identify spatial association among nearby units.Weights matrix that is representative of the observedspatial association in the data.
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
Outline
1 Introduction
2 ToolsClusterPyGeoGrouperArcGIS
3 ApplicationsApplication 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatialautocorrelation
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterPy
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterPy
DescriptionIt was released in June 2011Open sourceMultiplatformClusterPy is now included in the official repository ofsoftware for Python
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
Available algorithms
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterP
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterPy
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterPy
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterPy
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterPy
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterPy
Forthcoming features
MPS file for max-p-regions problem.MPS file for p-regions problem (Duque, Church,Middleton).Module for experiments.Module for simulating irregular lattices (fractal theory +Comp. geometry + Stochastic calculus)Models for specific applications (Electoral districting,School districting, Turfing, Sales districting, health-caredistricting...)
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ClusterPy
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
Outline
1 Introduction
2 ToolsClusterPyGeoGrouperArcGIS
3 ApplicationsApplication 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatialautocorrelation
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
GeoGrouper
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
GeoGrouper
DescriptionGUI version for ClusterPyFreewarePoint and clickMultiplatformTo be released in 2012
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
GeoGrouper
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
GeoGrouper
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
GeoGrouper
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
GeoGrouper
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
GeoGrouper
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
GeoGrouper
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
Outline
1 Introduction
2 ToolsClusterPyGeoGrouperArcGIS
3 ApplicationsApplication 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatialautocorrelation
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ArcGIS Toolbox
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ArcGIS
DescriptionCommercialRuns on WindowsWill be available in the next release of ArcGIS
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ArcGIS Toolbox
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ArcGIS Toolbox
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
ClusterPyGeoGrouperArcGIS
ArcGIS Toolbox
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Application 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatial autocorrelation
Outline
1 Introduction
2 ToolsClusterPyGeoGrouperArcGIS
3 ApplicationsApplication 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatialautocorrelation
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Application 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatial autocorrelation
Creating W with AMOEBA algorithm
Aldstadt J, Getis A (2006) Using AMOEBA to create a spatial weights matrixand identify spatial clusters. Geogr Analysis 38(4):327–343
Total fertility levels in Amman, Jordan.Spatial error formulation model using anAMOEBA-generated spatial weights matrix.
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Application 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatial autocorrelation
Outline
1 Introduction
2 ToolsClusterPyGeoGrouperArcGIS
3 ApplicationsApplication 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatialautocorrelation
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Application 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatial autocorrelation
Using Max-p regions model to control for spuriousspatial autocorrelation
Weeks JR; Hill A; Douglas S; Getis A and Debbie F (2007). Can we spot aneighborhood from the air? Defining neighborhood structure in Accra,Ghana. GeoJournal. 69(1–2): 9–22.
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Application 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatial autocorrelation
Where to get these tools?
http://code.google.com/p/clusterpy/http://pypi.python.org/pypi/clusterPy/0.9.9www.rise-group.org
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
IntroductionTools
Applications
Application 1: Constructing W for spatial modelApplication 2: Getting rid of spurious spatial autocorrelation
Thanks.
Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix