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Modelling spatial processes the identification and analysis of spatial relationships in regression residuals by means of Moran's I Libro electrónico autor: Michael Tiefelsdorf

Tipo de material: Libro
 en línea Libro en línea Idioma: Inglés Series Detalles de publicación: New York, New York, United States Springer-Verlag c2000Descripción: xviii, 167 páginas ilustraciones mapas 24 centímetrosISBN:
  • 3540662081
  • 9783540662082 (Print)
  • 9783540486770 (Online)
Tema(s): Recursos en línea: Formatos físicos adicionales disponibles:
  • Disponible en línea
Indice:Mostrar
Resumen:
Inglés

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.

Número de sistema: 55791
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Incluye bibliografía e índice: páginas 153-161

1. Introduction.. 2. The regression model.. 3. The specification of spatial relations.. 4. Gaussian spatial processes.. 5. The characteristic function.. 6. Numerical evaluation of Imhof's formula.. 7. The exact distribution of Moran's I .. 8. The shape of Moran's I exact distribution.. 9. The moments of Moran's I .. 10. The basic ecological model and spatial setting.. 11. A spatial analysis of the cancer data.. 12. Conclusions.. Index

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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. Inglés

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