Return to Courses Listing     Return to PAV Home Page     Email to PAV    

City and Regional Planning 4110

The files here are intended for the use of students in C&RP 4110 at OSU.

Most documents are available in two forms: as hypertext (HTML) and PDF files. The PDF files — which are correctly formatted — may require the latest version of the Adobe Acrobat Reader. The HTML versions are produced by an automatic translator: if anyone notices that the symbols seem incorrect (for example, they don’t match those in the PDF files) I’d appreciate being told, especially if you are viewing the material on a Macintosh.

Basic Materials

  • Spring 2015 Course syllabus in HTML or PDF formats.
  • Previous paper topics in the course: PDF

Class Materials

This section contains copies of all class handouts, as PDF files. They are in two formats: 1-up (as might be projected in class) and handout (4-up, as distributed, but in color).

Here is a table-of-contents for these materials (HTML document): it may help you to get an overview of what’s going on. It will be updated as the handouts change.


Spatial Data Sources

This handout (HTML) contains some sources for spatially-referenced data; unlike the version distributed in class, the links here are live, so you should be able to get to the locations just be clicking on them. If people will let me know of other sources that the find interesting or useful, I’ll be glad to add them to the list, so check back occasionally to see what’s new.

Data Analysis

We’ve decided to spend a few sessions learning how to do some (spatial) data analysis. This section will contain instructions and links to data (etc) that we’ll be working with.

  • Getting Started with R ( PDF ). This explains how to download and install R and (optionally) RStudio.
    install-script.txt is an R command that will install several spatial add-ons (packages). See the handout for instructions on how to use it..
  • Data files referred to in these notes:
  • Adding R Packages ( PDF ). This explains how to add a package to the R system.
  • Exploring the Weber Model in R: (PDF ). This note explains how to use R to solve Weber problems. A Facilities Location Problem ( PDF ) explains an extension of the Weber model to locate a (public) facility like a new library branch. contains R scripts for computing the Weber and facilities location models. The zip archive also contains copies of the two PDF notes.
  • The R Data Editor (PDF) . This note explains how to use R’s internal spreadsheet-like editor to make changes in your data.
  • Working with Non-Spatial Data ( PDF ). This note explains how to import comma-separated-values data into your R session. The end of the note contains an Exercise that you should try on your own.
  • Importing and Working With Spatial Data: I ( PDF ). This note explains how to import and work with ESRI shapefiles in R.
  • Coordinate Transformations ( PDF ). This note explains how to convert from one reference system to another, using data read from Google Maps as an example. Corrected edition: this corrects an error in footnote 1, which overstated the difference between US-feet and International feet.
  • Spatial Neighbors and Spatial Weights ( PDF ). This note explains how to construct neighbors and weights matrices in R.
  • Importing and Working With Spatial Data: II ( PDF ). This note explains how to import and work with Points and Polygons data in R. It also covers the recent ESRI geodatabase format.
  • Computing Spatial Distances in R ( PDF ). This note explains how to compute distances beween various types of sp-class spatial objects, the ones you create when you read ESRI shapefiles with rgdal.
  • Using the Auditor’s Data ( PDF ). This note explains how to begin using the Franklin County Auditor’s property-characteristics datasets.
  • Regression with R ( PDF ). Explains how to run regression models using R.