Spatial Analysis with R

Professional Seminar in Geospatial Technologies
GES 679-01
University of Maryland, Baltimore County
Department of Geography & Environmental Systems
The Universities at Shady Grove, Rockville MD

ldecola.net/edu/umbc/spatialR/syllabus_679.html

Meets weekly, 2018 Sep 3 to Oct 8, 18:15-20:30 Eastern Time (UTC-5)
Location: *Kendall 4212 (first and last sessions) and online via
Blackboard Collaborate

DATE TOPIC LAB **TEXT ASSIGNMENT
*Sep 10 1. Intro to R New Haven 1, 2, 4
  Sep 17 2. Points burglaries 3.4.4, 6 1. Maps and stats
  Sep 24 3. Polygon tracts 2.4, 3.1-4  
  Oct 1 4. Raster Meuse 5.8-9 2. Point pattern
  Oct 8 5. Graphs TBA 7  
*Oct 15 6. In-class presentations 3. Submit by Oct 14 24:59

Lee De Cola
LDECOLA@COMCAST.NET
DATA to Insight, Reston VA
Phone: 01-571-315-0577
hours: 10:00-18:00

OBJECTIVES – You will learn:

the R programming environment
about the mathematics of space
the fundamentals of spatial data structures
to do quantitative analysis of spatial processes
to conduct and present original research

COURSE ACTIVITIES

Realtime lab exercises using R interactively and collaboratively
Readings and significant coding exercises
Three assignments, including a final project presented in the last session

SOFTWARE

R language and particularly its spatial analysis tools.
NOTE: Priddy Librarian Amy Trost is offerring Intro to R workshops on 2018 Sep 4 at 1600 and Sep 24 at 1230.
Spreadsheet (e.g. Excel) often useful for restructuring data into R-readable formats.

PREREQUISITE: A course in statistics

TEXT

**REQUIRED: Brunsdon, C. and L. Comber (2015) An introduction to R for spatial analysis & mapping Los Angeles, SAGE. The syllabus table above shows the relevant (sub)sections, but as the book covers a lot more material than we can, i'll suggest the pages that you should code yourself.
RECOMMENDED: Adler, J. (2010). R in a nutshell Sebastopol, CA, O'Reilly. There are many intro R books around; this is one I like.

REFERENCES

Bivand, Roger, et al. (2013) Applied spatial data analysis with R New York, Springer. An excellent but quite technical review of our topics.
Waller, L. A. and C. A. Gotway (2004) Applied spatial statistics for public health data Hoboken, N.J, John Wiley & Sons.
Cressie, N. A. C. (1991) Statistics for spatial data New York, Wiley.