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: 1up (as might be projected in class) and handout (4up, as distributed,
but in color).
Here is a tableofcontents 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.
Other
Spatial Data Sources
This handout (HTML) contains some sources for spatiallyreferenced 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.
installscript.txt is an R command that will install several spatial
addons (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. weberscript.zip 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
spreadsheetlike editor to make changes in your data.
 Working with NonSpatial Data ( PDF ). This note explains how
to import commaseparatedvalues 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 USfeet 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 spclass 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 propertycharacteristics
datasets.
 Regression with R ( PDF ). Explains how to run regression models using
R.
