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Improving GIS-Based Wildlife - Habitat Analysis

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ISBN-10: 3319096079

ISBN-13: 9783319096070

Edition: 2014

Authors: Jeffrey K. Keller, Charles R. Smith

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Geographic Information Systems (GIS) provide a powerful tool for the investigation of species-habitat relationships and the development of wildlife management and conservation programs. However, the relative ease of data manipulation and analysis using GIS, associated landscape metrics packages, and sophisticated statistical tests may sometimes cause investigators to overlook important species-habitat functional relationships. Additionally, underlying assumptions of the study design or technology may have unrecognized consequences. This volume examines how initial researcher choices of image resolution, scale(s) of analysis, response and explanatory variables, and location and area of…    
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Book details

Copyright year: 2014
Publisher: Springer International Publishing AG
Publication date: 10/10/2014
Binding: Paperback
Pages: 132
Size: 6.10" wide x 9.25" long x 0.50" tall
Weight: 0.528
Language: English