John T. Rotenberry, Kristine L. Preston, and Steven T. Knick. 2006. GIS-based niche modeling for mapping species' habitat. Ecology 87:1458–1464.

Supplement

SAS code to produce Mahalanobis D² and its partitions.
Ecological Archives E087-084-S1.

Copyright

Authors
File list (downloads)
Description
Literature cited

Author(s)

John T. Rotenberry
Department of Biology and
Center for Conservation Biology
University of California
Riverside, CA 92521 USA
E-mail: john.rotenberry@ucr.edu

Kristine L. Preston
Department of Biology and
Center for Conservation Biology
University of California
Riverside, CA 92521 USA

Steven T. Knick
Snake River Field Station
USGS Forest and Rangeland Ecosystem Science Center
Boise, ID 82706 USA

File list

SAS_code_for_D2_partition_revised.txt

Description

SAS code (SAS Institute 2001) to produce Mahalanobis D² and its partitions (Clark et al. 1993, Dunn and Duncan 2000, Rotenberry et al. 2002). Code modified from Duncan and Dunn (2001). Text may be pasted directly into SAS Editor. User must either ensure appropriately named SAS library and data sets already exist, or modify code to conform to user's existing library and data set names. Further directions appear as comments within body of SAS code.

Literature cited

Clark, J. D., J. E. Dunn, and K. G. Smith. 1993. A multivariate model of female black bear habitat use for a geographic information system. Journal of Wildlife Management 57:519–526.

Duncan, L., and J. E. Dunn. 2001. Partitioned Mahalanobis D² to improve GIS classification. Paper 198-26, Proceedings SAS Users Group International No. 26. SAS Institute, Cary, North Carolina, USA.

Dunn, J. E., and L. Duncan. 2000. Partitioning Mahalanobis D² to sharpen GIS classification. Pages 195–204 in C. A. Brebbia, P. Pascolo, editors. Management Information Systems 2000: GIS and Remote Sensing. WIT Press, Southampton, UK.

Rotenberry, J. T., S. T. Knick, and J. E. Dunn. 2002. A minimalist approach to mapping species’ habitat: Pearson’s planes of closest fit. Pages 281–289 in J. M. Scott, P. J. Heglund, M. L. Morrison, J. B. Haufler, M. G. Raphael, W. A. Wall, and F. B. Samson, editors. Predicting species occurrences: issues of accuracy and scale. Island Press, Washington, DC, USA.

SAS Institute. 2001. The SAS System for Windows, version 8.02. SAS Institute, Cary, North Carolina, USA.