1 / 13

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 ”?.

gibson
Download Presentation

Open Spatial Analysis with

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. 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.}

More Related