A comparison of methods for predicting vegetation type
Cairns DM. 2001. A comparison of methods for predicting vegetation type. Plant Ecology. 156(1):3-18
Glacier National Park was used as a study area for predictive modeling of vegetation patterns, using alpine treeline ecotone as a case study. Parametric general linear models (GLM), artificial neural networks (ANN), and classification tree (CT) methods were tested. Results from the predictive models were compared with real vegetation types to determine the relative accuracy of the methods. When the entire field was examined the ANN procedure produced the most accurate results, and the CT the least accurate
- Type
- Journal Article
- Authors
- Cairns, David
- Units
- GLAC
- Keywords
- Distribution, Glacier National Park MT, Modeling, Plant Studies, Research Methods, Treeline, Vegetation