The increasing availability of geospatial data and the rapid advances in the Geographic Information Systems (GIS) technology for statistical and mathematical modeling and simulation have led to a variety of applications and a growing spatial literature. Spatial statistical methods and techniques have been widely used in a number of discipline-specific applications, some of which are described in this handbook and result from those rapid advances in GIS tools, techniques, and literature.
CITATION STYLE
Gorsevski, P. V., Gessler, P. E., & Jankowski, P. (2010). A Fuzzy k-Means Classification and a Bayesian Approach for Spatial Prediction of Landslide Hazard. In Handbook of Applied Spatial Analysis (pp. 653–684). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-03647-7_31
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