Geospatial Data Structures,
Analysis, and Visualization

CEE5984 Special Studies
Spring 2012

ldecola.net/edu/vt/syllabus_5984.html

Virginia Tech Northern Virginia Center, Falls Church
Room 102
Mondays 7-10 PM

Lee De Cola, Data to Insight
LDECOLA@COMCAST.NET
703 709 6972

Schedule (topics & order subject to change)

DATE
*WEEK
TOPIC
Bivand et al.
ASSIGNMENT
Jan-23
1
Introduction, logistics  
Jan-30
2
Fundamentals of R (Intro to R), 1
Feb-06
3
Measurement 2.1–.4
Feb-13
4
Time 2.4.2, 6.2, 6.5
1
Feb-20
5
Spatial Objects 2, 4.1
Feb-27
6
Point pattern analysis 7.1–.4.3
Mar-05
break
   
Mar-12
8
Points and attributes 3, 8.1–.3
Mar-19
9
Grids 1.4, 2.7, 4.3, 4.4
2
Mar-26
10
Grid analysis 2.5–.7, 3.2, 5.2–.3
Apr-02
11
Graphs 9.1–.2
Apr-09
12
Polygons 4.2, 4.4.1, 5.4–.6
3
*Apr-16
13
Transformations 8
Apr-23
14
Spatial epidemiology 11
Apr-30
15
Wrap-up & Presentations  
FINAL

*Class will be be held ONLINE at regularly scheduled time.

Scripts for the course are here – check dates to be sure they are recent!

Objectives

The course introduces the principles of geographic information science by providing a foundation in data structures from the atomic level, through increasing geometric and topological complicatedness, to narrative analytical insights. By the end of the class you should:

• appreciate how the world can be represented by statistical, temporal, and spatial data structures
• learn how structures can be transformed into one another for analysis, visualization, and management
• understand the fundamentals of geographic information science
• know the basics of the R system to prototype problems
• be able to apply the spatial analytical paradigm to a topic of professional interest.

Prerequisite: a course in statistics.

Software

R programming language system 
Excel or equivalent spreadsheet-type application
ArcGIS: see link to VT student acquisition procedure

Books (only the first is *required)

*Bivand, Roger, et al. 2008 Applied spatial data analysis with R New York, Springer. May be online; be sure to check website for errata.

Adler, J. 2009 R in a nutshell Sebastopol, CA, O'Reilly. For a useful review of statistics, see Part IV. Another introductory texts is O'Reilly's R cookbook.

Crawley, M. J. 2007 The R book Hoboken, N.J.Wiley. Big and pricey, but an excellent reference.

Longley, P. A., et al. 2011 Geographical information systems and science 3rd ed. Hoboken, NJ, Wiley. Especially Sections 8.2-8.3 and 10.3-10.7. Earlier edition may be available and cheaper. A link to my notes on the book.

Websites and resources