Statistics For Spatial Data

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Statistics for Spatial Data
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While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spa
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Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes
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Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and
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Geospatial health data are essential to inform public health and policy. These data can be used to quantify disease burden, understand geographic and temporal p