Gamma Design Software was started in 1988 to bring geostatistics to Windows workstations and desktop computers.Īt that time fast geostatistics software was available only for supercomputers, and other users needed to compile FORTRAN source code on their own.
Or it can be used standalone – GS+ has its own data worksheet (which also accepts Excel®, Access®, and other types of data files) and produces its own maps. Because GS+ output is compatible with industry standards, GS+ can be used directly with many of these other programs. 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. Geostatistics is not an add-on feature of GS+ – it is the heart of the software.Or the hundreds of users at, government and non-governmental, and in almost every. Take the word of the hundreds of scientists and engineers who have cited GS+ in their research publications –.Many users are surprised that geostatistical analysis can be so easy and intuitive. GS+ provides all geostatistics components, from variogram analysis through kriging and mapping, in a single integrated program widely praised for its flexibility and friendly interface. GS+ is a comprehensive geostatistics program that is fast, efficient, and easy to use.GS+ is the best 2D geostatistics software available. 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. Accurate, Adaptable, and Accessible Error Metrics for Predictive. EDIT: One complaint about this EZ-Kriging that I have. Unfortunately most geostats/kriging software is either too complex for exploratory learning. This produces optimal unbiased estimates of the property across the entire spatial domain. 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. 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. Geostatistics is a class of statistical techniques developed to analyze and predict spatial values of a property.
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