Modelling Spatial Processes: The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of Moran's I (Lecture Notes in Earth Sciences): 87 - Brossura

Tiefelsdorf, Michael

 
9783540662082: Modelling Spatial Processes: The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of Moran's I (Lecture Notes in Earth Sciences): 87

Sinossi

A novel methodology is put forward in this book, which empowers researchers to investigate and identify potential spatial processes among a set of regions. Spatial processes and their underlying functional spatial relationships are commonly observed in the geosciences and related disciplines. Examples are spatially autocorrelated random variables manifesting themselves in distinct global patterns as well as local clusters and hot spots, or spatial interaction leading to stochastic ties among the regions. An example from observational epidemiology demonstrates the flexibility of Moran's approach by analyzing the spatial distribution of cancer data from several perspectives. Recent advances in computing technology, computer algorithms, statistical techniques and global and local spatial patterns by means of Moran's I feasability. Moran's I is an extremely versatile tool for exploring and analyzing spatial data and testing spatial hypotheses.

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Contenuti

The regression model.- The specification of spatial relations.- Gaussian spatial processes.- The characteristic function.- Numerical evaluation of Imhof's formula.- The exact distribution of Moran's I.- The shape of Moran's I exact distribution.- The moments of Moran's I.- The basic ecological model and spatial setting.- A spatial analysis of the cancer data.- Conclusions.

Product Description

xiii 167p brown paperback, excellent fresh copy, note by the author inserted

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Altre edizioni note dello stesso titolo

9783662170434: Modelling Spatial Processes: The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of Moran's I

Edizione in evidenza

ISBN 10:  3662170434 ISBN 13:  9783662170434
Casa editrice: Springer, 2014
Brossura