| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6295958 | Ecological Informatics | 2012 | 8 Pages |
Abstract
⺠We identified hierarchical forest pattern regions using spatially-constrained clustering. ⺠Our method increased within-region heterogeneity but ensured spatial contiguity of regions. ⺠The resulting regions highlight factors structuring forest extent and fragmentation. ⺠This method provided a valuable means for quantifying broad-scale forest patterns. ⺠By reducing data complexity, this method facilitated interpretation of biogeographic data.
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Authors
John A. Kupfer, Peng Gao, Diansheng Guo,