Mapping Functional Diversity
Functions to map multivariate functional richness, divergence and evenness based on Schneider, et al. (2017).
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Example to calculate multi-dimensional functional diversity indices using blockwise and moving window processing:
Richness based on the convex hull volume,
Divergence based on the mean distance to the center of gravity, and
Evenness based on the minimum spanning tree.
Please cite: Schneider, F. D., Morsdorf, F., Schmid, B., Petchey, O. L., Hueni, A., Schimel, D. S., & Schaepman, M. E. (2017). Mapping functional diversity from remotely sensed morphological and physiological forest traits. Nature Communications, 8(1), 1441. https://doi.org/10.1038/s41467-017-01530-3
인용 양식
Fabian Schneider (2026). Mapping Functional Diversity (https://kr.mathworks.com/matlabcentral/fileexchange/126620-mapping-functional-diversity), MATLAB Central File Exchange. 검색 날짜: .
Schneider, F. D., Morsdorf, F., Schmid, B., Petchey, O. L., Hueni, A., Schimel, D. S., & Schaepman, M. E. (2017). Mapping functional diversity from remotely sensed morphological and physiological forest traits. Nature Communications, 8(1), 1441. https://doi.org/10.1038/s41467-017-01530-3
| 버전 | 퍼블리시됨 | 릴리스 정보 | Action |
|---|---|---|---|
| 1.0.0 |
