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What is geostatistics?
Geostatistics is a class of statistical techniques developed to analyze and predict spatial values of a property. It begins with a type of autocorrelation analysis called variography or semivariance analysis, in which the degree of spatial self-similarity is displayed as a variogram. A curve is fit to the variogram, and the equation that describes the curve - called the variogram model - is used to predict unsampled locations by kriging or conditional simulation. This produces optimal unbiased estimates of the property across the entire spatial domain. The same analysis can also be performed with one-dimensional data such as time, for example hourly or daily measures of some property, to provide optimal interpolations and error terms along a time line.
Kriging, Cokriging, Conditional Simulation, Inverse Distance Weighting (IDW), and other Interpolations
geostatistics software mapping
Conditional Simulation provides optimal interpolation whereby measured data values are honored at their locations. Other interpolation methods (including kriging) will smooth out local details of spatial variation, which can be a problem when you are trying to map sharp spatial boundaries such as contamination hotspots or fault lines.
Data Worksheet
The Data Worksheet holds the GS+ analysis data. Data can be entered from a variety of sources, including spreadsheets, databases, various text formats, and by cutting and pasting from any Windows program. The data worksheet can hold over a million records, and a data filter can limit the range of data to be analyzed.
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