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Variowin

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Variowin
Lowest price (incl. delivery)
7 178,00 JPY
Typical price491,72 PLN
Lowest (90 days)44,99 PLN
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Last updatedpřed 1 týdnem
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Price history (90 days)
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2026-08-08 2026-08-15
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AktualizovánoCena
2026-08-0849,99
2026-08-1444,99
2026-08-1551,99
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SP SpringerNatureLink Shop INT 7 149,00 JPY 29,00 JPY 7 178,00 JPY Dostupné před 2 dny View offer
SP Springer Nature Author 7 149,00 JPY 25,00 JPY 7 174,00 JPY Dostupné před 1 týdnem View offer
SP SpringerNatureLink Shop INT 49,99 USD free 49,99 USD Dostupné před 3 dny View offer
SP SpringerNatureLink Shop INT 54,99 USD 15,00 USD 69,99 USD Dostupné před 3 dny View offer
SP SpringerNatureLink Shop INT 54,99 USD free 54,99 USD Dostupné před 3 dny View offer
SP SpringerNatureLink Shop INT 59,00 EUR 29,00 EUR 88,00 EUR Dostupné před 3 dny View offer

Ceny a dostupnost se mohou změnit. Naposledy aktualizováno: 08.08.2026 23:12.

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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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