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Open Spatial Analysis with

Open Spatial Analysis with. Ron Buliung Assistant Professor Department of Geography University of Toronto at Mississauga ron.buliung@utoronto.ca. Outline. What, Why, Where? Some Key Projects What Have I Been Up To? Resources. What is “ R ”?.

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Open Spatial Analysis with

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  1. Open Spatial Analysis with Ron Buliung Assistant Professor Department of Geography University of Toronto at Mississauga ron.buliung@utoronto.ca

  2. Outline • What, Why, Where? • Some Key Projects • What Have I Been Up To? • Resources

  3. What is “R”? • Integrated software suite for data manipulation, calculation and graphical display: • Data handling and storage. • Operators for calculations on arrays and matrices. • Collection of tools for data analysis. • Graphing and data visualization. • Complete programming language • Domain specific sub-projects

  4. What does R Look Like?

  5. Can also Look Like This Rcmdr – John Fox

  6. Why Adopt “R”? • Analytically Comprehensive • FREE, and open source • Multi platform support • Flexibility • Vast array of learning resources • Continuity of Use • Culture of Use • Analytical Clarity • Introducing, my international team of collaborators!!

  7. Drawbacks? • User interface R-GUIs: http://www.sciviews.org/_rgui/ • Problems with packages • Will it always be around? • Problems with large problems? A non-starter (see object.size, memory.size, memory.limits) • Can’t leave home without it?

  8. Where can you learn more? http://r-spatial.sourceforge.net/ http://sal.uiuc.edu/csiss/Rgeo//

  9. Some Key Projects • sp • splancs • Spatstat • maptools • Shapefiles • RpostGIS • Spgrass6 • Aspace • adehabitat • GeoDa?? • STARS OS OS OS Proprietary

  10. Teaching Working Closer to the Data “Looking under the hood” Knowledge Spillovers Skills are in demand GGR276: Spatial Data Analysis and Mapping GGR370: Planes, Trains and Automobiles: The Geography of Transportation

  11. Teaching #next two lines should be written into R as a single line mpb <- read.table("C:/bc/mpb.txt", header=TRUE, sep=",", na.strings="NA", dec=".", strip.white=TRUE) #next two lines should be written into R as a single line plot(mpb$X_coord,mpb$Y_coord,xlab="X-coords",ylab="Y-coords",main="Pine Beetle Data") n <- nrow(mpb[1]) n mean(mpb$X_coord);mean(mpb$Y_coord) mc.x<-sum(mpb$X_coord)/n mc.y<-sum(mpb$Y_coord)/n points(mc.x,mc.y,'p',pch=22,cex=2,col="blue",bg="blue") wmc.x<-sum(as.numeric(mpb$Tree_no*mpb$X_coord))/sum(mpb$Tree_no) wmc.y<-sum(as.numeric(mpb$Tree_no*mpb$Y_coord))/sum(mpb$Tree_no) points(wmc.x,wmc.y,'p',pch=22,cex=2,col="red",bg="blue") Deconstruct, Modify, Implement

  12. Research: Human Spatial Behaviour Aspace: Open Source toolkit for geographic visualization and analysis of activity spaces – i.e., the set of locations visited by a behavioural agent (e.g., person, household) over time.

  13. Resources • R-download http://www.r-project.org/ • R-packages http://probability.ca/cran/ • R-Spatial http://sal.uiuc.edu/csiss/Rgeo/ • R-GUIs: http://www.sciviews.org/_rgui/ • John Fox, Sociology, McMaster University: http://socserv.socsci.mcmaster.ca/jfox/ • “R for Beginners” Emmanuel Paradis • http://cran.r-project.org/ {click on Contributed on left panel.}

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