DIGA655 Spatial Ecology (3 cr.) This course provides an introduction to the fundamental principles and applications of spatial ecology, emphasizing the spatial distribution and dynamics of organisms across different scales. Students explore how ecological processes interact with the physical environment, shaping patterns of biodiversity and ecosystem function. Students develop skills in mapping, spatial analysis, and remote sensing techniques essential for effective conservation planning through hands-on projects. This course integrates theory with practical applications, preparing students to contribute to sustainable resource management efforts using modern technological approaches.
Upon completion of this course, students are expected to be able to do the following:
- Interpret spatial patterns in ecological data using appropriate statistical and GIS techniques.
- Acquire and integrate spatial data from various sources for ecological analysis.
- Apply spatial analysis techniques, such as spatial autocorrelation, interpolation, and cluster analysis, to ecological datasets.
- Develop spatially explicit models to simulate ecological processes and predict spatial dynamics.
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