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Spatial Statistics

Hsien-Ching Kao
Eduardo Serna
Organization: Wolfram Research, Inc.

Wolfram Technology Conference 2015
Conference location

Champaign, Illinois USA

Spatial analysis is an emerging field in statistics that involves modeling and inference of spatial data with wide applications in GIS, remote sensing, epidemiology, biogeography, and other relevant disciplines. In the talk, we will focus on spatial prediction by kriging, highlighting where the comprehensive framework of Mathematica allows one to leverage functionality that is unavailable elsewhere. Kriging is a method of statistical inference to perform spatial interpolation as well as obtaining a measure of the error. The application of kriging is coupled to the determination of the underlying spatial process from the available data. We are designing an automated workflow so that one has only to supply the data and let the Wolfram Language make all the smart decisions for you. Some of the highlights will include dealing with large data sets, handling the ubiquitous flat kernels (which result to ill conditioned linear systems), and the seamless integration with the visualization functionality present in the Wolfram Language.

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1445372531.nb (2.4 MB) - Mathematica Notebook