Name: Variowin: Software for Spatial Data Analysis in 2D (en Inglés)
Price: 68310.00 CLP
Availability: InStock
Author: Pannatier, Yvan
ISBN: 9781461275251

portada Variowin: Software for Spatial Data Analysis in 2D (en Inglés)

Formato

Libro Físico

Autor

Yvan Pannatier

Editorial

Springer

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.6 cm

Peso

0.16 kg.

ISBN13

9781461275251

N° edición

Categorías

Probabilidad y estadística
Geociencias
Jardinería

Variowin: Software for Spatial Data Analysis in 2D (en Inglés)

Yvan Pannatier (Autor) · Springer · Tapa Blanda

Libro Nuevo

$ 68.310

$ 136.620

Ahorras: $ 68.310

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 12 de Julio y el Viernes 19 de Julio.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Variowin: Software for Spatial Data Analysis in 2D (en Inglés)"

1.1 Overview V ARIOWIN 2.2 is a collection of four Windows(TM) 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.