Improving GIS-based Wildlife-Habitat Analysis

• Κύριοι συγγραφείς: Keller, Jeffrey K. (Συγγραφέας), Smith, Charles R. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: SpringerBriefs in Ecology,
• Θέματα: Life sciences.; Geographical information systems.; Remote sensing.; Ecosystems.; Conservation biology.; Ecology.; Nature conservation.; Life Sciences.; Conservation Biology/Ecology.; Geographical Information Systems/Cartography.; Nature Conservation.; Animal Systematics/Taxonomy/Biogeography.; Remote Sensing/Photogrammetry.

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...

Πίνακας περιεχομένων:

• Chapter 1. Working Definitions
• Chapter 2. Image Resolution vs. Habitat Selection Scale in a Remote Sensing Context
• Chapter 3. Explanatory Variables
• Chapter 4. Landscape Sampling Area vs. Actual Location of Taxonomic Survey
• Chapter 5. Refining Habitat Specificity
• Chapter 6. Example Using High-resolution Imagery and Taxon-specific Variables.