Spatial Analysis

de

,

Éditeur :

Wiley


Collection :

Wiley Series in Probability and Statistics

Paru le : 2022-04-28

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Description
SPATIAL ANALYSIS
Explore the foundations and latest developments in spatial statistical analysis
In Spatial Analysis, two distinguished authors deliver a practical and insightful exploration of the statistical investigation of the interdependence of random variables as a function of their spatial proximity. The book expertly blends theory and application, offering numerous worked examples and exercises at the end of each chapter.
Increasingly relevant to fields as diverse as epidemiology, geography, geology, image analysis, and machine learning, spatial statistics is becoming more important to a wide range of specialists and professionals. The book includes: Thorough introduction to stationary random fields, intrinsic and generalized random fields, and stochastic models Comprehensive exploration of the estimation of spatial structure Practical discussion of kriging and the spatial linear model
Spatial Analysis is an invaluable resource for advanced undergraduate and postgraduate students in statistics, data science, digital imaging, geostatistics, and agriculture. It’s also an accessible reference for professionals who are required to use spatial models in their work.
Pages
400 pages
Collection
Wiley Series in Probability and Statistics
Parution
2022-04-28
Marque
Wiley
EAN papier
9780471632054
EAN PDF
9781118763568

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
400
Taille du fichier
4291 Ko
Prix
77,54 €
EAN EPUB
9781118763575

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
400
Taille du fichier
25149 Ko
Prix
77,54 €