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 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

GRADING

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