GS+ is a geostatistical analysis and mapping program that allows you to readily measure and illustrate spatial relationships in geo-referenced data.
GS+ analyzes spatial data for autocorrelation and then uses this information to make optimal, statistically rigorous maps of the area sampled. The maps can be created in GS+ or in other mapping programs or geographic information systems.
You need geostatistics to make accurate, statistically rigorous maps created from incomplete data – which means whenever you make a map for a property that cannot be exhaustively sampled. Whether you are mapping oil deposits or plankton distributions or disease outbreaks, geostatistics allows you greater confidence in the interpolated values for the locations not actually sampled.
Geologists, geographers, ecologists, epidemiologists, climatologists, civil engineers, soil scientists – all of these and others have found geostatistics to be a valuable tool for improving the accuracy of their spatial predictions and for modeling properties and processes that vary spatially.