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Improving GIS-based Wildlife-Habitat Analysis (SpringerBriefs in Ecology)
Keller, Jeffrey K., Smith, Charles R.
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Description for Improving GIS-based Wildlife-Habitat Analysis (SpringerBriefs in Ecology)
Paperback. Series: SpringerBriefs in Ecology. Num Pages: 132 pages, 8 black & white illustrations, 6 colour illustrations, 10 black & white tables, biography. BIC Classification: PSAF; PSV; RGW; RNK. Category: (P) Professional & Vocational. Dimension: 236 x 154 x 9. Weight in Grams: 236.
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 samples can influence analysis results, interpretation, predictive capability, and study-derived management prescriptions. Overall, most studies in this ... Read more
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 samples can influence analysis results, interpretation, predictive capability, and study-derived management prescriptions. Overall, most studies in this ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer
Condition
New
Series
SpringerBriefs in Ecology
Number of Pages
132
Place of Publication
Cham, Switzerland
ISBN
9783319096070
SKU
V9783319096070
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Keller, Jeffrey K., Smith, Charles R.
Jeffrey K. Keller is a professional restoration ecologist. Charles R. Smith is a senior research associate with Cornell’s Department of Natural Resources. He also holds an adjunct associate professorship in the graduate program in biodiversity, conservation, and policy in the Department of Biological Sciences at the State University of New York at Albany.
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