Class 4203/5203
GIS & Modeling
 
 
This course follows from GIS 1 (Geog 4103/5103). The course focuses modeling in raster-based GIS. The course covers important aspects and fundamental concepts of raster analysis techniques and their application to terrain analysis and methods of spatial estimation. Furthermore we will look at the emergent aspect of data quality and uncertainty in the source data and processing steps. Finally, we will discuss the phases of a GIS project design and management. Advanced topics will touch spatio-temporal models, uncertainty modeling and the link to automation and programming aspects in GIS. During the last weeks of the term students will work in small groups on a modeling project, which has been proposed by them.
 
Teacher & TA
Stefan Leyk
Gugg 201F
stefan.leyk[at]colorado.edu
 
Jeremy M. Smith
jmsmith[at]colorado.edu
Syllabus
    Syllabus
Class Handouts
     Week 1: Class1, Class2, Class3
    Week 2: Class4/5
    Week 3/4: Class6
    Week 4/5: Class7
    Week 5/6: Class8
    Week 7: Class9
    Week 8: Class10
    Week 9/10: Class11
    Week 10/12: Class12, Class13
Readings
Navigate to readings
Fields and Objects
    Couclelis 92, Goodchild 89
Terrain Models
    Weibel & Heller 92
    Burrough & McDonnell 1998
    (ch 5)
Spatial Interpolation
    Mitas and Mitasova 1999
    Oliver 2001
Spatial Data Quality & Uncertainty
    Fisher 2003
        Goodchild 1991
        Beard 1989
Spatio-Temporal Models
    Brown et al. 2005
        O’Sullivan 2005
        Itami 1994
contact
stefan.leyk[at]colorado.edu
 
 
Outline of the Course