Variowin: Software for Spatial Data Analysis in 2D. Statistics and Computing.

Pannatier, Yvan:

ISBN 10: 0387946799 / ISBN 13: 9780387946795

Editore: Springer Verlag;, 1996

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91 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 340.

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Dati bibliografici

• Titolo: Variowin: Software for Spatial Data Analysis in 2D. Statistics and Computing.
• Editore: Springer Verlag
• Data di pubblicazione: 1996
• Lingua: Inglese
• ISBN 10: 0387946799
• ISBN 13: 9780387946795
• Rilegatura: gebundene Ausgabe
• Condizione: Gut
• Cataloghi dei venditori:
  • 202 Informatik & EDV

Descrizione articolo

Riassunto

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.