Local Models for Spatial Analysis

260 pages | 2007 | PDF | 10.7Mb Di*erence is at the core of geography and cognate disciplines. One focus of such disciplines is to describe di*erences or similarities between places. In quantitative terms, characterising spatial dependence | the degree to which neighbouring places are similar | is often important. In social geography, for example, researchers may be interested in the degree of homogeneity in areas of a city. Some areas of a city may have mixed population characteristics, while others may be internally very similar. In geomorphology, di*erent processes operate in di*erent places and at di*erent spatial scales. However, in practice, global models have often been applied in analyses of such properties. Use of global models in such contexts will mask underlying spatial variation and the data may contain information which is not revealed by global approaches. One simple de?nition of a global model is that which makes use of all available data, while a local model makes use of some subset of the complete data set. In this book, a variety of di*erent de?nitions are given | a local model may, for example, make use of all available data and account for local variations. A local model may also help to overcome some of the problems faced when using a global model. This book is intended to enhance appreciation and understanding of local models in spatial analysis. The text includes discussions on key concepts such as spatial scale, nonstationarity, and de?nitions of local models. The key focus is on the description and illustration of a variety of approaches which account for local variation in both univariate and multivariate spatial relations. Quote: Download: (Size: 10.7MB) RapidShare Quote: MY OTHER PUBLICATIONS