| habitat classification modeling with incomplete data: pushing the habitat envelope. | habitat classification models (hcms) are invaluable tools for species conservation, land-use planning, reserve design, and metapopulation assessments, particularly at broad spatial scales. however, species occurrence data are often lacking and typically limited to presence points at broad scales. this lack of absence data precludes the use of many statistical techniques for hcms. one option is to generate pseudo-absence points so that the many available statistical modeling tools can bb used. tr ... | 2007 | 17913135 |