
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.

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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