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What is geostatistics? Geostatistics is a class of statistical techniques developed to analyze and predict values of a variable distributed in space or time. It begins with a type of autocorrelation analysis called variography or semivariance analysis, in which the degree of self-similarity is displayed as a variogram. The variogram model is used to predict unsampled locations by kriging or conditional simulation, which produces estimates of the variable across the entire spatial or temporal domain.
GS+ software was first introduced in 1988. Geostatistics is not an add-on feature of GS+ - it is at the heart of the software. Many of our users have access to other geostatistics tools within their favorite GIS or mapping programs but come to GS+ for their serious geostatistical analyses, especially for exploring geostatistical relationships within data sets. Because GS+ output is compatible with industry standards, GS+ can be used directly with many of these other programs. Or it can be used standalone - GS+ has its own data worksheet (which also accepts MicroSoft® Excel®, Access®, and other types of data files) and produces its own maps for those users who are not working with other mapping programs.
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Numerous scientists, engineers, and students worldwide are using GS+.
Take a look at the GS+ overview for a quick tour of the software's main features, including pictures of all major windows. See featured statistics for a quick listing of the various statistics provided.
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