Variowin: Software for Spatial Data Analysis in 2D Yvan Pannatier

ISBN: 9781461275251

Published: March 21st 2013

Paperback

91 pages


Description

Variowin: Software for Spatial Data Analysis in 2D  by  Yvan Pannatier

Variowin: Software for Spatial Data Analysis in 2D by Yvan Pannatier
March 21st 2013 | Paperback | PDF, EPUB, FB2, DjVu, talking book, mp3, RTF | 91 pages | ISBN: 9781461275251 | 8.18 Mb

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 aMore1.1 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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