1 / 21

Integrating Open-Source Statistical Packages with ArcGIS

7-25-12. Integrating Open-Source Statistical Packages with ArcGIS. Mark V. Janikas, Ph. D. Xing Kang. Outline . Introduction to Spatial Data Analysis in ArcGIS Spatial Statistics, Geostatistics and Spatial Analyst Python: Directly and Indirectly Extendable Collaborative Motivation

cyndi
Download Presentation

Integrating Open-Source Statistical Packages with ArcGIS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 7-25-12 Integrating Open-Source Statistical Packages with ArcGIS Mark V. Janikas, Ph. D. Xing Kang

  2. Outline • Introduction to Spatial Data Analysis in ArcGIS • Spatial Statistics, Geostatistics and Spatial Analyst • Python: Directly and Indirectly Extendable • Collaborative Motivation • PySAL (Python Spatial Analysis Library) • Direct • R • Indirect • Conclusions and Future Directions

  3. Spatial Analytics in ArcGIS: Past and Present • Traditional Spatial Analysis • Core tools continue to evolve • Spatial Analyst • Raster • Map Algebra • Geostatistics • Raster and Vector • Continuous Data • Spatial Statistics • Vector • Exhaustive Data • Python

  4. Spatial Analytics in ArcGIS: Moving Forward • Python • Spatial Analyst • Raster NumPy • SciPy • Spatial Statistics and Geostatistics • Data Access Module • Vector NumPy • Spatial Statistics Data Object and Utilities • matplotlib

  5. The Great and Extendable Python • Direct • Numeric/Scientific Python Modules • http://wiki.python.org/moin/NumericAndScientific • +50 Modules Listed • Check Compatibility… Then Plug and Play • Indirect • Alternative Languages • No Python Hooks or Module • Compatibility Fails • Python Serves as Active Script and OS • Out of Process

  6. Collaborative Motivation • ArcGIS Users • Substantive Interest • Methodological Choice • Quantitative State of Mind • Enhancement Requests • User Conference • Resource Center and Forums • Email… You know who you are… • What we build and why • What is left? • PySAL and R

  7. Collaborative Motivation: 2nd Side of the Coin • Value Added in the Other Direction • Direct or indirect linkage should focus on the strengths of each • A Simple (Humorous?) Example • The R module “Midas” • Method • Inputs: X, Y, Z Coordinates, Image Reading at Location • Output: Probability that Gold Exists at each location • I’m rich!... But what if “they” get there first? • ArcGIS • Network Analyst: How do I get there? Best route? • Spatial Statistics: Hot-Spots to identify an area to focus on • Geostatistics: Kriging to predict and unknown locations

  8. Introduction to PySAL • Open Source Python Library for Spatial Analytical Functions • ASU GeoDa Center for Geospatial Analysis and Computation • Luc Anselin • PySpace • Sergio Rey • STARS • BSD License

  9. Anatomy of PySAL

  10. Collaborative Advantages: PySAL and ArcGIS • PySAL • Advance Spatial Analysis code base with novel functions • E.g. Regionalization, Spatial Econometrics • Do not have to “reinvent the wheel” • ArcGIS • GIS User Interface • ~800 GP Tools • Easy-to-use Script Tool Framework • Enriched functionalities from ArcGIS Python scripts • arcpy, SSDataObject, SSUtilities, SSReport etc. • Multiple input/output data format • Error messages • Pyharness framework for robust testing

  11. Basic PySAL – ArcGIS Interaction Model NumPy Input Data SSDataObject SSUtilities Spatial Weights Environment Settings Projections Field Qualification Z/M Values Bad Records Error/Warning Messages Localization Feature Accounting PySAL Analytical Function Output Data NumPy

  12. PySAL – ArcGIS Toolbox Demonstration:Regional Income Distributions

  13. What is R? Why should I use it? • R (The R Project for Statistical Computing) • Over 60 CRAN sites across 30+ countries • Its Free • GNU GENERAL PUBLIC LICENSE • Base is powerful • Statistics, Linear Algebra, Visualization , etc… • Its extendible • 1800+ Contributed Extensions • splancs, spatstat, spdep, rgdal, maptools, shapefiles

  14. Indirect Integration Strategy • Python and R: “Decoupled” • Used as the core script tool • Hooks into the Operating System to call R • Post-Processor • “Out of Process” • RPy/RPy2 • Compatibility • win32com • Windows only • Works for other programs as well

  15. Basic R – ArcGIS Interaction Model Input Params ArcGIS Python Retrieves Parameters Organizes into R command Executes R command Post-Processing Apply Symbology Apply Projections Report R Enhanced Output Data Output Data

  16. R – ArcGIS Toolbox Demonstration:Regional Income Distributions

  17. Conclusions • PySAL • Advanced spatial analytic techniques • Combined with SSDataObject and Utilities • Directly compatible • Python Harness Implementation • Spatial Econometrics and Spatial Weights Conversion • ESDA, Clustering, Spatial Dynamics etc. • BSD

  18. Conclusions • R • Contains “cutting edge” data analysis techniques from a wide body of academic and applied fields • Extendible • Indirectly compatible • Direct via RPy/RPy2 and win32com • GNU • Revolution • esri continues to focus on improving the interaction in the future

  19. Software Links • PySAL • https://geodacenter.asu.edu/pysal • http://code.google.com/p/pysal/ • NumPy and SciPy • http://www.numpy.org/ • R • http://www.r-project.org/index.html

  20. http://www.arcgis.com/home/group.html?owner=ArcGISTeamAnalysis&title=Analysis%20and%20Geoprocessing%20Tool%20Galleryhttp://www.arcgis.com/home/group.html?owner=ArcGISTeamAnalysis&title=Analysis%20and%20Geoprocessing%20Tool%20Gallery • Using R in ArcGIS (Version 10) • R Point Clustering Tools for ArcGIS (Version 9.3) • Using R in ArcGIS (Version 11) – Coming Soon! • Using PySAL in ArcGIS (Version 11) • Either here or at the GeoDa Center

  21. Related Sessions • Search the Online Agenda • http://events.esri.com/uc/2012/infoWeb/OnlineAgenda/ • Keywords • Python • Spatial Statistics • Geostatistics • Spatial Analyst • Business Analyst

More Related