New tools to create a W matrix that represents the socioeconomic reality of the study data.
•
1 like•395 views
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.
Recommended
Recommended
More Related Content
Recently uploaded
Recently uploaded (20)
Featured
Featured (20)
New tools to create a W matrix that represents the socioeconomic reality of the study data.
- 1. Introduction Tools Applications New tools to create a W matrix that represents the 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 ERSA August, 2011 Barcelona Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 2. Introduction Tools Applications Outline 1 Introduction 2 Tools ClusterPy GeoGrouper ArcGIS 3 Applications Application 1: Constructing W for spatial model Application 2: Getting rid of spurious spatial autocorrelation Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 3. Introduction Tools Applications Outline 1 Introduction 2 Tools ClusterPy GeoGrouper ArcGIS 3 Applications Application 1: Constructing W for spatial model Application 2: Getting rid of spurious spatial autocorrelation Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 4. Introduction Tools Applications Outline 1 Introduction 2 Tools ClusterPy GeoGrouper ArcGIS 3 Applications Application 1: Constructing W for spatial model Application 2: Getting rid of spurious spatial autocorrelation Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 5. Introduction Tools Applications W matrices: types of representation (Based on Aldstadt and Getis, 2006) Type I: Theoretical notion of spatial association There exist some theory behind its definition It is exogenous to the model Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 6. Introduction Tools Applications W matrices: types of representation (Based on Aldstadt and Getis, 2006) Type II: Geometric indicator of spatial nearness Exogenous Useful when absence of theory The only assumption here is that near areas are more related than areas that are further apart. Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 7. Introduction Tools Applications W matrices: types of representation (Based on Aldstadt and Getis, 2006) Type III: Descriptive expression of the spatial association within a 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 within their data will be included in the model. Types I and II: explanatory models; and type III: descriptive models. Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 8. Introduction Tools Applications W matrices: types of representation (Based on Aldstadt and Getis, 2006) Type III: Descriptive expression of the spatial association within a set of data There exist many algorithms in the literature that can be utilized to construct this type of matrices. Most of them are just in the papers, its implementation is not available to other researchers. Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 9. Introduction Tools Applications Objectives At least To pull the methods out of the papers into the computer Ultimate goal To make a development one standard application to apply, customize and compare algorithms in a manner that has not existed before Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 10. Introduction Tools Applications Tools for constructing type III W matrices Description Algorithms for spatially constrained clustering. Identify spatial association among nearby units. Weights matrix that is representative of the observed spatial association in the data. Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 11. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS Outline 1 Introduction 2 Tools ClusterPy GeoGrouper ArcGIS 3 Applications Application 1: Constructing W for spatial model Application 2: Getting rid of spurious spatial autocorrelation Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 12. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ClusterPy Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 13. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ClusterPy Description It was released in June 2011 Open source Multiplatform ClusterPy is now included in the official repository of software for Python Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 14. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS Available algorithms Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 15. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ClusterP Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 16. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ClusterPy Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 17. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ClusterPy Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 18. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ClusterPy Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 19. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ClusterPy Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 20. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS 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-care districting...) Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 21. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ClusterPy Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 22. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS Outline 1 Introduction 2 Tools ClusterPy GeoGrouper ArcGIS 3 Applications Application 1: Constructing W for spatial model Application 2: Getting rid of spurious spatial autocorrelation Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 23. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS GeoGrouper Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 24. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS GeoGrouper Description GUI version for ClusterPy Freeware Point and click Multiplatform To be released in 2012 Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 25. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS GeoGrouper Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 26. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS GeoGrouper Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 27. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS GeoGrouper Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 28. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS GeoGrouper Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 29. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS GeoGrouper Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 30. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS GeoGrouper Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 31. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS Outline 1 Introduction 2 Tools ClusterPy GeoGrouper ArcGIS 3 Applications Application 1: Constructing W for spatial model Application 2: Getting rid of spurious spatial autocorrelation Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 32. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ArcGIS Toolbox Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 33. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ArcGIS Description Commercial Runs on Windows Will 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
- 34. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ArcGIS Toolbox Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 35. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ArcGIS Toolbox Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 36. Introduction ClusterPy Tools GeoGrouper Applications ArcGIS ArcGIS Toolbox Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 37. Introduction Application 1: Constructing W for spatial model Tools Application 2: Getting rid of spurious spatial autocorrelation Applications Outline 1 Introduction 2 Tools ClusterPy GeoGrouper ArcGIS 3 Applications Application 1: Constructing W for spatial model Application 2: Getting rid of spurious spatial autocorrelation Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 38. Introduction Application 1: Constructing W for spatial model Tools Application 2: Getting rid of spurious spatial autocorrelation Applications Creating W with AMOEBA algorithm Aldstadt J, Getis A (2006) Using AMOEBA to create a spatial weights matrix and identify spatial clusters. Geogr Analysis 38(4):327–343 Total fertility levels in Amman, Jordan. Spatial error formulation model using an AMOEBA-generated spatial weights matrix. Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 39. Introduction Application 1: Constructing W for spatial model Tools Application 2: Getting rid of spurious spatial autocorrelation Applications Outline 1 Introduction 2 Tools ClusterPy GeoGrouper ArcGIS 3 Applications Application 1: Constructing W for spatial model Application 2: Getting rid of spurious spatial autocorrelation Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 40. Introduction Application 1: Constructing W for spatial model Tools Application 2: Getting rid of spurious spatial autocorrelation Applications Using Max-p regions model to control for spurious spatial autocorrelation Weeks JR; Hill A; Douglas S; Getis A and Debbie F (2007). Can we spot a neighborhood 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
- 41. Introduction Application 1: Constructing W for spatial model Tools Application 2: Getting rid of spurious spatial autocorrelation Applications Where to get these tools? http://code.google.com/p/clusterpy/ http://pypi.python.org/pypi/clusterPy/0.9.9 www.rise-group.org Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix
- 42. Introduction Application 1: Constructing W for spatial model Tools Application 2: Getting rid of spurious spatial autocorrelation Applications Thanks. Duque JC (1), Janikas MV (2), Rosenshein L (2), Scott L (2) Tools to create a W matrix