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Geospatial Data Structures, |
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
DATE |
*WEEK |
TOPIC | ||
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 |
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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.
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.
R programming language system
Excel or equivalent spreadsheet-type application
ArcGIS: see link to VT student acquisition procedure
*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.
