Mining boundary effects in areally referenced spatial data using the Bayesian information criterion
نویسندگان
چکیده
منابع مشابه
Mining boundary effects in areally referenced spatial data using the Bayesian information criterion
Statistical models for areal data are primarily used for smoothing maps revealing spatial trends. Subsequent interest often resides in the formal identification of 'boundaries' on the map. Here boundaries refer to 'difference boundaries', representing significant differences between adjacent regions. Recently, Lu and Carlin (2004) discussed a Bayesian framework to carry out edge detection emplo...
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15 صفحه اولNonparametric Hierarchical Modeling for Detecting Boundaries in Areally Referenced Spatial Datasets
With increasing accessibility to Geographical Information Systems (GIS) software, researchers and administrators in public health are increasingly encountering spatially referenced datasets. Inferential interest of spatial data analysis often resides not in the statistically estimated maps themselves, but on the formal identification of “edges” or “boundaries” on the map. Boundaries can be thou...
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ژورنال
عنوان ژورنال: GeoInformatica
سال: 2010
ISSN: 1384-6175,1573-7624
DOI: 10.1007/s10707-010-0109-0