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Comprehensive Semivariance Analysis provides both isotropic and anisotropic variograms. You have complete control over separation interval classes – choose constant interval classes or define different break points for every lag class. Anisotropic directions can be individually targeted, and variograms can be scaled to sample variance. (more...) |
 Semivariance Analysis |
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Variograms that appear in the Semivariance Analysis window – both isotropic and anisotropic – can be enlarged into their own windows, from which values and graphs can be printed, and from which each point along the curve can be decomposed into the pairs of points on which it is based. (more...) |
 Variograms |
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Variogram Surface Maps – Identify anisotropy quickly and accurately. Maps of semivariance in every compass direction (the center marks the origin of each variogram) allow the axis of maximum variation to be easily identified. (more...) |
 Variogram Map |
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Dynamic Variogram Modeling – GS+ can calculate model parameters for 5 types of models based on least squares (residuals) analysis, or individual model parameters can be specified directly by the user. (more...) |
 Model definition |
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Variance Cloud Analysis provides a graph of variance vs. separation distance for every pair of points that make up a specific lag class. This allows outlying pairs to be quickly identified and edited as needed. (more...) |
 Variance clouds |
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h-Scattergram Analysis provides a graph of differences vs. separation distance for every pair of points that make up a specific lag class. This is another way to quickly identify outlying pairs and edit as needed. (more...) |
 h-Scattergrams |
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The Variance by Pair listing provides variance values and separation distances for each point in a specific variogram lag class. (more...) |
 Pair-wise variance |
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GS+ provides three types of Interpolation – Kriging, Conditional Simulation, and Inverse Distance Weighting. Output is written to ASCII files that can be read for mapping by GS+, ArcView®, or Surfer®. (more...) |
 Interpolation |
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Kriging provides optimal interpolation of points across a spatial domain for which autocorrelation has been documented and measured with variograms. GS+ provides both block and punctual kriging, and allows the user to choose the most appropriate variogram model to use for the interpolation. (more...) |
 Kriging system |
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Cokriging is a type of kriging that allows one to better estimate map values using a secondary variate sampled more intensely than the primary variate. If the primary variate is difficult or expensive to measure, then cokriging can greatly improve interpolation estimates without having to more intensely sample the primary variate. (more...) |
 Cokriging system |
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Conditional Simulation provides optimal interpolation whereby measured data values are honored at their locations. Other interpolation methods 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. (more...) |
 Conditional simulation |
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Inverse Distance Weighting (IDW) provides classical interpolation based on nearest neighbor weighting. It is a simple interpolation method used in mapping programs that do not use geostatistics, and assumes spatial dependence among points close to one another (without measuring it). (more...) |
 IDW system |
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The Interpolation Grid allows the user to define the boundaries of the interpolated area and the intensity (grid spacing) at which the interpolation will proceed. (more...) |
 Interpolation grid |
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Polygon Outlines define irregular map boundaries and special areas to exclude from kriging. An unlimited number of polygons can be defined by an unlimited number of vertices (x-y boundary points). (more...) |
 Polygon define |
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Polygon Maps display the areas that will be included or excluded from kriging. Exclusive and inclusive polygons are colored differently, and polygons can be nested within one another. (more...) |
 Polygon map |
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Cross Validation Analysis allows one to test different variogram models; bootstrapping provides comparisons of the actual value of every point sampled vs. its estimated value when removed from the data set. (more...) |
 Cross-Validation analysis |
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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 billion records, and a data filter can limit the range of data to be analyzed. (more...) |
 Data Worksheet |
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The Descriptive Statistics window provides information on the active data set, and provides the option to transform the data to a more normalized distribution. (more...) |
 Descriptive Statistics |
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Frequency distributions provide information about the normality of a particular data analysis set. (more...) |
 Frequency Distribution |
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The Coordinate Posting window provides a map of sample locations coded by sample values. Values can be divided into quartiles, percentiles, or a variety of other distributions. (more...) |
 Coordinate Posting |
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Graphic print formats include JPEG, PNG, BMP, and WMF file formats, or graphs can be printed to the Windows clipboard, to a file; or to any Windows device at user-specified sizes. (more...) |
 Graph output |
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3-d Mapping with zoom, rotation. GS+ gives you full control over contour colors, intervals, perspective, and the presence of grid lines, ceiling and floor contours, and wire frame density. Map data can be imported from GS+™, ArcView®, GeoEas, and Surfer® grid files, and map images can be printed to a variety of formats. (more...) |
 Map design |
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