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About this book

Introduction

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.

Keywords

Demography Econometrics Geographie Geography Random variable Regional Science Ökonometrie

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0048754
  • Copyright Information Springer-Verlag 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-66208-2
  • Online ISBN 978-3-540-48677-0
  • Series Print ISSN 0930-0317
  • Series Online ISSN 1613-2580
  • Buy this book on publisher's site