Temporal Analysis with R

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

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

Meets fortnightly, 2017 Sep 12 to Nov 28, 18:15-20:45 Eastern Time (UTC-5)
Location: Shady Grove Kendall 2215 and online

Blackboard

DATE TOPIC LAB CODING ASSIGNMENT
 Sep 12 1. Intro to R simulation Adler Part II
*Sep 26 2. Temporal data LakeHuron C&M Ch.1 1. Visualization
*Oct 10 3. Temporal analysis Six world series C&M Ch.2  
*Oct 24 4. Forecasting AirPassengers C&M Ch.3 2. Temporal analysis
*Nov 7 5. Space and time tornados C&M Ch.4  
 Nov 28 6. In-class presentations C&M Ch.5 3. Submit by Nov 26
*Dec 12 7. Regression modeling Overdoses BONUS SESSION!
*online meetings (subject to change).

Lee De Cola
LDECOLA@COMCAST.NET
DATA to Insight, Reston VA
Phone: 01-703-709-6972
hours: 10:00-18:00

OBJECTIVES -  By the end of the seminar series you will learn:

the R programming environment
how time is measured and represented
to design temporal visualizations
to analyze and forecast time-series data
to conduct and present original research.

COURSE ACTIVITIES

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

SOFTWARE

R language and particularly its time series analysis tools and time series datasets.
Spreadsheet (e.g. Excel) often useful for restructuring data into R-readable formats.

PREREQUISITE: A course in statistics

TEXTS (you probably can rent these)

(C&M) Cowpertwait, P. S. P. and A. V. Metcalfe (2009) Introductory time series with R New York, Springer.

Adler, J. (2010). R in a nutshell Sebastopol, CA, O'Reilly.

REFERENCES with signficant temporal content

Cleveland, W. S. (1994) The elements of graphing data, Murray Hill, NJ: AT&T Bell Laboratories Sec 3.8.

Diggle, P. (1990). Time series: a biostatistical introduction, Oxford, England and New York, Clarendon Press; Oxford University Press.

Few, Stephen (2009) Now you see it: simple visualization techniques for quantitative analysis, Oakland CA, Analytics Press.

Makridakis, S. G., et al. (1997). Forecasting: Methods and Applications, John Wiley & Sons.

Moore, D. S. and G. P. McCabe (2006) Introduction to the practice of statistics, New York: W. H Freeman. Sec 1.1 (p. 19) has a brief section on 'time plots.'

Teetor, P. (2011) R cookbook Sebastopol, CA, O'Reilly, especially chs. 7 (dates) and 14 (time series).

Tufte, E. R. (1983) The visual display of quantitative information, Cheshire CT: Graphics Press. A number of time examples throughout (as well as his other later books).

Tufte, E. R. (1997) Visual explanations: images and quantities, evidence and narrative, Cheshire CT: Graphics Press Ch. 2 has a thorough discussion of the Snow cholera story.

Tufte, E. R. (2006) Beautiful Evidence, Cheshire CT: Graphics Press. "Sparklines" chapter is about time.

Wainer, H. (2005) Graphic discovery: a trout in the milk and other visual adventures, Princeton, NJ: Princeton University Press.

Wilkinson, L. and G. Wills (2005) The grammar of graphics, New York: Springer. ch. 14.

Wong, D. M. (2009) The Wall Street journal guide to information graphics New York: W.W. Norton & Co.