Titlebook: Spatial Uncertainty in Ecology; Implications for Rem Carolyn T. Hunsaker,Michael F. Goodchild,Ted J. Ca Book 2001 Springer Science+Business

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Geostatistical Models of Uncertainty for Spatial Dataland cover (Potter et al. 1993)]; these are typically provided in the form of information layers (coverages) in geographical information systems (GIS). Such parameter maps, however, are inherently uncertain because their elements represent derived, not directly measured, quantities.

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The Use and Uncertainties of Spatial Data for Landscape Models: An Overview with Examples from the Fmake a decision or set policy. A spatial model can loosely be defined as one that has either one or more state variables that are a function of space or can be related to other space-dependent variables. The information-richness of spatial data and models comes from their simultaneous depiction of t

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Mapping Ecological Uncertainty using GIS, and nearly all find it useful. In particular, GIS software provides capabilities to map data quickly. GIS software, however, does not necessarily produce good maps by default. This is due in part to the diversity of mapping situations that arise, and the difficulty of establishing a sing