Northern Prairie Wildlife Research Center
Research and Management Techniques for Wildlife Habitats
Geographic Information Systems
The Wildlife Society
Bethesda, Maryland
1994
By
Gregory T. Koeln, Lewis M. Cowardin, and Laurence L. Strong
Theodore A. Bookhout, Editor
U.S. Fish and Wildlife Service
Ohio Cooperative Fish and Wildlife Research Unit
The Ohio State University
Columbus, Ohio
This resource is based on the following source (Northern Prairie Publication
1033):
Koeln, Gregory T., Lewis M. Cowardin, and Laurence L. Strong. 1994. Geographic
Information Systems. Pages 540-566 in T. A. Bookhout, ed. Research and
management techniques for wildlife. Wildl. Soc., Bethesda, MD. 740 pp.
This resource should be cited as:
Koeln, Gregory T., Lewis M. Cowardin, and Laurence L. Strong. 1994. Geographic
Information Systems. Pages 540-566 in T. A. Bookhout, ed. Research and
management techniques for wildlife. Wildl. Soc., Bethesda, MD. 740 pp.
Jamestown ND: Northern Prairie Wildlife Research Center Online.
http://www.npwrc.usgs.gov/resource/habitat/research/index.htm
(Version 15JUN99).
Table of Contents
Figures and Tables
- Figure 1: Geographically referenced data
- Figure 2: Raster and vector formats
- Figure 3: Raster data matrix
- Figure 4: Land cover as represented in a
simple raster system
- Figure 5: Layers or overlays in a GIS
- Figure 6: Topological models used in vector
systems
- Figure 7: Hand-held global positioning system
- Figure 8: Recording coordinates on a digitizing
table
- Figure 9: A TM image of central North Dakota
- Figure 10: Landsat TM data for Pearl Lake,
North Dakota, map sheet
- Figure 11: Using digital image-processing
to extract wetland information
- Figure 12: Using GIS processing function to
label wetland areas
- Figure 13: An arithmetic overlay operation
- Figure 14: Logical overlay operation
- Figure 15: Orthogonal and diagonal cell
neighbors
- Figure 16: Using a proximity function
- Figure 17: Using Landsat TM data for estimating
and simulating waterfowl production
- Figure 18: Deriving habitat classes
- Figure 19: Three habitat changes simulated
by using editing functions of a GIS
- Table 1: Comparison advantages and disadvantages
of vector and raster methods
- Table 2: Land use and land cover categories
used by the U.S. Geological Survey
- Table 3: Illustrating linkage of a population
simulation model to a GIS with habitat data derived from Landsat TM
- Table 4: Applying habitat availability
data derived from Landsat TM, a GIS, and a population simulation model
Downloading Instructions
-- Instructions on downloading and extracting files from this site.
research.zip (846K) -- Research and Management Techniques for Wildlife Habitats
-- Geographic Information Systems
Installation: Extract all files and open
index.htm in a web browser.