Sinopsis
This pack provides Windows software for analyzing spatial data and graphical tools for variogram surfaces, directional variograms, h-scatterplots and variogram clouds. By making use of several measures of spatial continuity, it provides an environment for geostatistical estimation and simulation. The four components to the software enable researchers in spatial statistics and geostatistics to interactively analyze and model the spatial continuity of spatial data, produce variogram surfaces and directional variograms in any direction, interactively mask data pairs thought to adversely affect measures of spatial continuity, and produce maps of experimental and modelled variogram surfaces.
Reseña del editor
1.1 Overview V ARIOWIN 2.2 is a collection of four Windows™ programs - Prevar2D, Vari02D with PCF, Model, and Grid Display - that are used for spatial data analysis and variogram modeling of irregularly spaced data in two dimensions. Prevar2D builds a pair comparison file (PCF), that is, a binary file containing pairs of data sorted in terms of increasing distance. Pair comparison files can be built from subsets in order to reduce memory requirements. Vari02D with PCF is used for spatial data analysis of 2D data. It uses an ASCII data file and a binary pair comparison file produced by Prevar2D. Features implemented in Vari02D with PCF include: · the possibility to characterize the spatial continuity of one variable or the joined spatial continuity of two variables, · variogram surfaces for identifying directions of anisotropies, · directional variograms calculated along any direction, · several measures of spatial continuity. Not only the variogram but also the standardized variogram, the covariance, the correlogram, and the madogram are used to measure spatial continuity. · h-scatterplots to assess the meaning of these measures, · the identification and localization of pairs of data adversely affecting the measure of spatial continuity. Once identified, these pairs can be masked from the calculation interactively. · variogram clouds for identifying pairs of data values having the most influence on the measure of spatial continuity. Those pairs can also be located on the sample map.
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