Thesis (MTech. degree in Nature Conservation)--Tshwane University of Technology, 2008. / Wildlife monitoring is fundamentally necessary to understand how ecosystems function and how environmental changes affect wildlife populations and natural habitats. Traditionally wildlife monitoring has relied primarily on statistical analysis to interpret trends and patterns. A constraint of these techniques is an inability to detect spatial changes over time. This study investigated the use of geographic information systems (GIS) to add a spatial context to both short- and long-term wildlife monitoring.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:tut/oai:encore.tut.ac.za:d1000665 |
| Date | January 2008 |
| Creators | Maliti, Honori Thomas. |
| Contributors | Funston, Paul |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | |
| Rights | Tshwane University of Technology. |
Page generated in 0.0018 seconds