1. Mark V. Janikas Marjean Pobuda
Integrating Open Source Statistical Packages with ArcGIS Python Spatial Analysis Library (PySAL) ArcGIS – R Project
Mark V. Janikas
Marjean Pobuda
G67940_UC15_Tmplt_16x9_4-15
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2. Introduction Traditional Spatial Analysis Spatial Analyst
Geostatistics
Spatial Statistics
Most Useful Tools
Best Implementation
Scalable, Intuitive and Well Documented

3. Integrating ArcGIS with Open Source Software
Supporting the Scientific Community
Advanced Analytics
Peer reviewed across a vast number of Academic Disciplines
Methodologies range from empirically broad to specific
Python [NumPy]
Increase Core Python Modules
SciPy, PANDAS, Matplotlib, NetCDF4-Python
Conda in ArcGIS Pro 1.3
Data Access
Directly extendable
Raster/Vector NumPy
Spatial Statistics Data Object and Utilities
Selection and Feature/NumPy Index Mapping
All Data Formats
Environments
Localization, Errors/Warnings, Bad Records Info

4. Python Spatial Analysis Library
Advanced Spatio-Temporal Analytics
Cutting Edge Techniques
Spatial Econometrics, Spatio-Temporal Dynamics, ESDA etc…
Trusted Techniques
Luc Anselin, Sergio Rey etal.
Designed to Support Various High-Level Front Ends
ArcGIS, QGIS, Web
PySAL on GitHub
Install
ArcGIS Pro 1.3
conda install pysal
ArcGIS Pro < 1.3 and ArcGIS Classic
pip install pysal

5. Spatial Statistics API and Integration Framework
GIS Statistics Jupyter Notebook Tutorials

6. Download Toolbox on GitHub
PySAL ArcGIS Toolbox
Download Toolbox on GitHub

7. Demo

8. R Integration Highly Active Community Old Method (Indirect) New Method
Over 6000 Libraries
Old Method (Indirect)
Out of Proc
Python as the Glue
New Method
In Proc
Native Data Access
Honors Selection Sets and Projections
Vector Data
Charts and Graphs
GUI Interface

9. What is it? Who is it for? R Users ArcGIS Users
Provide an open source bridge library to move data between R and ArcGIS
Fast (Native)
All Vector Formats
Projection Engine
ArcGIS Users
Expand accessibility of R in the ArcGIS community
Run R from ArcGIS geoprocessing tool
Works like any other GP tool
Selection and Environments
Work within GNU licensing and R project intent
Build a collaborative GitHub community for GP tool development and education

10. https://github.com/R-ArcGIS
R-ArcGIS Links

11. Installation
Via Python Toolbox
R Package Manager

12. Standard R Documentation

13. Demo

14. Moving Forward - PySAL Spatial Econometrics Spatial Dynamics
Maximum Likelihood
Spatial Dynamics
Panel Data Model – Space-Time Pattern Mining
Supporting Charts and Graphs
Pro Application
Documentation
Luc Anselin and Serio Rey (2014) Modern Spatial Econometrics in Practice
Formal Publication Submission

15. Moving Forward - R Documentation/Tutorials Collaborative Projects
Raster Support
R Consortium at the Silver Level
Continue to monitor/support changes in the R spatial community

16. Session Reviews on your Mobile App
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Day [Session Info]
Wed [1868 / 1029]
Thur [1868 / 1034]

17. Mark Janikas mjanikas@esri.com Marjean Pobuda mpobuda@esri.com