Name: Elements of Spatial Structure: A Quantative Approach (Cambridge Geographical Studies) (en Inglés)
Price: 60.54 USD
Availability: InStock
Author: Cliff, Andrew D. ; Haggett, Peter ; Ord, J. Keith
ISBN: 9780521112727

portada Elements of Spatial Structure: A Quantative Approach (Cambridge Geographical Studies) (en Inglés)

Elements of Spatial Structure: A Quantative Approach (Cambridge Geographical Studies) (en Inglés)

Formato

Libro Físico

Autor

Peter Haggett

Andrew D. Cliff

J. Keith Ord

Editorial

Cambridge University Press

Año

2009

Idioma

Inglés

N° páginas

280

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 1.6 cm

Peso

0.41 kg.

ISBN

0521112729

ISBN13

9780521112727

N° edición

Categorías

Geografía
Viajes y vacaciones

Elements of Spatial Structure: A Quantative Approach (Cambridge Geographical Studies) (en Inglés)

Peter Haggett (Autor) · Andrew D. Cliff (Autor) · J. Keith Ord (Autor) · Cambridge University Press · Tapa Blanda

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Reseña del libro "Elements of Spatial Structure: A Quantative Approach (Cambridge Geographical Studies) (en Inglés)"

Elements of Spatial Structure is a contribution to the literature on spatial series. Written by a group with varied backgrounds in engineering, geography and statistics, who collaborated at Bristol University in the early 1970s, the book analyses certain basic properties of spatial structure. It shows how spatial elements form an essential part of the real-world problems of population distribution, of urban and regional economies, and of diffusion processes. The book is divided into three parts. Part one is concerned with a static cross-sectional approach to spatial structure and explores some aspects of the central geographical problems of region-building and trend-surface mapping. Part two moves to a dynamic framework and extends time-series analysis in a regional framework. It includes two chapters on the application of the models presented to diffusion and unemployment data in south-west England. Part three links the first two parts together through a consideration of spatial autocorrelation and spatial forecasting. Again, formal models are presented and an attempt is made to gauge their utility by applying them to test problems in the south-west.