Tb geo dev_presentation_nov_5
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This document discusses Todd Barr's background in GIS and spatial data consulting. It then provides information on R, including that it was developed in the 1990s based on S and S-Plus for statistical modeling. It discusses reasons to learn R, such as its community support, reproducibility, versatility, and ability to perform high-end analysis without economic barriers. Finally, it outlines R's use for spatial/GIS applications through libraries, interfaces with other software like ArcGIS and QGIS, visualization capabilities, and ability to create web-ready outputs.
Tb geo dev_presentation_nov_5
- 2. TODD BARR Current Linkedin Job Title: Spatial Data Consultant
- 3. Backround • 20ish Years in GIS • Worked with a Multitude of Agencies and International Non Profits • Presented at Several Spatial, Data Science and Non Spatial Conferences • Lead Multi-Agency Strategic Planning Initiatives for Spatial Data Use In Emergency Management Was retweeted by ‘The Rock’ twice in one night
- 7. BackgRound on R • Developed in the 90s base on a Proprietary Statistical Language called ‘S’ and S-Plus, by Statisticians for Statistical Models.
- 9. <-
- 10. Why LeaRn R • Unleashes the Power of the Command Line Interface (CLI)
- 11. “With the advent of "Modern" GIS software, most people want to point and click their way through life. That's good, but there is a tremendous amount of flexibility and power waiting for you with the command line. Many times you can something on the command line in a fraction of the time you can with a GUI.” - Sherman 2008, Desktop GIS p 283 "You get such a better understanding as to what you are doing with the geospatial analysis functions when you type them in manually rather than using a wizard." - James Fee, multiple years, and formats
- 12. Why LeaRn R • Community Support and Happiness
- 15. Why LeaRn R • Reproducibility, Reusability, and Collaboration
- 18. Why LeaRn R • Versatility
- 21. Why LeaRn R • Removal of Economic Barriers to High End Analysis
- 24. Why LeaRn R • Employment Market
- 26. R in Spatial/GIS • Many Libraries for Spatial Analysis and Growing
- 27. 0 10 20 30 40 50 60 70 80 2009 2010 2011 2012 2013 2014 2015 2016 2017 R Spatial Libraries
- 28. Most Recent Addition 29-0ct-17 • Spgwr • (Spatial) Geographic Weighted Regression
- 29. R in Spatial/GIS • Interfaces • Spatial • ArcGIS • R interface supported by ESRI Open Project “R Bridge” • QGIS • Imbedded a Functionality • Use R in the Native Script Editor • GeoDA • Native R code, and functionality • gvSIG • R plugin to allow • Kinda Spatial • Tableau • Spotfire • Capable of GeoAnalytics • SAS • SPSS
- 30. R in Spatial/GIS • Visualization
- 33. R in Spatial/GIS • Web Ready