NVCC GIS 295

GIS 295: Spatial data analysis

Northern Virginia Community College
Geospatial Studies
Reston Virginia, USA

ldecola.net/edu/nvcc/295/syllabus_295.html

Tuesdays, 2013 Aug 27 to Dec 10, 6:30 - 8:30 PM
Location: 1831 Wiehle Ave., Reston, VA 20190-5266

*WEEK	DATE	TOPIC	LAB	TEXT	ASSIGNMENT
1	Aug 27	time	time series
2	Sep 03	measurement	ozone 1	1, A.1-4
3	Sep 10	distance	turtle	2	1
4	Sep 17	intensity	lyme	3
5	Sep 24	points	CrimeStat	5
6	Oct 01	quadrats	tornados	4	2
7	Oct 08	clusters	asthma	6
8	Oct 15	BREAK
9	Oct 22	autocorrelation	US climate	7
10	Oct 29	local statistics	US climate	8	3
11	Nov 05	fields	landsat	9
12	Nov 12	interpolation	topo	9, 10
13	Nov 19	kriging	ozone 2	10	4: proposal
14	Nov 26	overlay	fractals	11
15	Dec 03	speculations	R spatial	12
16	Dec 10	presentations			5: project

Dates are the dates of class meetings at which a topic will be covered and a lab exercise conducted. Chapter readings (and associated Discussions when no assignment is due) should be completed by that date. Assignments are due at midnight of the day before* the date.
Announcements, Discussion, Lab (and assignment) documents - see Blackboard.

Lee De Cola

LDECOLA@COMCAST.NET
DATA to Insight, Reston VA
Phone: 01 703 709-6972
hours: 10:00-19:00 Eastern US (GMT-5)

OBJECTIVES - By the end of the seminar series you should be able to:

Understand the application of simple statistics to spatial data
Be able to visualize and forecast basic time series data
Perform intensity, quadrat, cluster, and hot spot analysis on point data
Do interpolations, including those involving geostatistical kriging
Analyze raster data
Present original research

COURSE ACTIVITIES

Interactive presentations
In-class lab exercises - Bring paper, pens, and pencils (with erasers) to class
Five assignments, including a final project presented in the last class
Readings

SOFTWARE

Spreadsheet (e.g. Excel)
ArcGIS
R language (recommended)

PREREQUISITE: A course in statistics

TEXTS

REQUIRED: O'Sullivan, David and David J. Unwin (2010) Geographic information analysis Wiley. ISBN 978-0-470-28857-3
RECOMMENDED: Adler, Joseph (2010) R in a nutshell O'Reilly. ISBN 978-0-596-80170-0

WEBSITES AND RESOURCES

A report writing guide from my website; please read and refer to this when writing!
Useful GIS (and other) information; read it over and make suggestions.
The R Project for Statistical Computing where you can download R and find many other resources.
Introduction to R; run through this and try out the code; an abridged and commented version is available here.
ArcGIS10.1 installation instructions from Stephen Taylor, Western Oregon University.
ArcGIS 10.1 Service Pack 1 instructions and download.

GRADING

  45% 3 assignments
  20     proposal
  30     project
    5     participation (Discussion Board)
100% TOTAL