@inbook {391,
	title = {A spatial analytical hierarchy for Gap Analysis},
	booktitle = {Gap Analysis: A Landscape Approach to Biodiversity Planning},
	year = {1996},
	pages = {15-24},
	publisher = {American Society for Photogrammetry and Remote Sensing},
	organization = {American Society for Photogrammetry and Remote Sensing},
	address = {Bethesda, MD},
	abstract = {Representation in the nature reserve system is determined by comparing the distribution of vegetation and vertebrates with that of land ownership and management over a region of interest. Locating potential places to increase representation is typically done by a systematic selection algorithm over a set of spatial units larger than the landscape units of the vegetation map. The landscape is thus the basic spatial unit at which biodiversity data are compiled for Gap Analysis. However, it is only one of four levels of spatial entity that must be explicitly defined in order to complete a Gap Analysis. We refer to these entities as the planning region, the planning unit, the landscape, and the landscape feature. The objective of this paper is to describe a spatial analytical hierarchy for Gap Analysis based on these four entities. Within this broader theme we also present results of a more focused analysis on the effect of planning unit size on the selection of priority conservation areas in southwestern California.},
	keywords = {gap analysis, reserve selection, scale},
	author = {Davis, F. W. and Stoms, D. M.},
	editor = {Scott, J. M. and Tear, T. H. and Davis, F. W.}
}
@article {763,
	title = {Effects of habitat map generalization in biodiversity assessment},
	journal = {Photogrammetric Engineering and Remote Sensing},
	volume = {58},
	year = {1992},
	month = {1992},
	pages = {1587-1591},
	abstract = {Species richness is being mapped as part of an inventory of biological diversity in California (i.e., gap analysis). Species distributions are modeled with a GIS on the basis of maps of each species{\textquoteright} preferred habitats. Species richness is then tallied in equal-area sampling units. A GIS sensitivity analysis examined the effects of the level of generalization of the habitat map on the predicted distribution of species richness in the southern Sierra Nevada. As the habitat map was generalized, the number of habitat types mapped within grid cells tended to decrease with a corresponding decline in numbers of species predicted. Further, the ranking of grid cells in order of predicted numbers of species changed dramatically between levels of generalization. Areas predicted to be of greatest conservation value on the basis of species richness may therefore be sensitive to GIS data resolution.},
	keywords = {habitat suitability, scale, sensitivity analysis, species richness},
	url = {<Go to ISI>://A1992JV67200007},
	author = {Stoms, D. M.}
}
