Spatial Analysis in Geomorphology

Spatial Analysis in Geomorphology
Author: Richard J. Chorley
Publisher: Routledge
Total Pages: 396
Release: 2019-04-10
Genre: Science
ISBN: 1000007081

Originally published in 1972. This book covers from ‘linear’ statistical methods, regression and variance analysis to multivariate methods to wider spatial analytic techniques, in which a clear association is maintained between quantitative data and the spatial coordinates which locate them. The purpose of this volume is to highlight this coherent area of scholarship under the general headings of spatial point systems, networks, continuous distributions, partitioning and simulation. Seventeen authors from Britain and the United States have been brought together to produce a book whose attention is on the body of spatial techniques necessary to enable the building of dynamic spatial models of landforms which formed the keystone of much geomorphic work in future years.

Trend Surface Analysis and Spatial Correlation

Trend Surface Analysis and Spatial Correlation
Author: Geoffrey S. Watson
Publisher:
Total Pages: 25
Release: 1969
Genre: Cartography
ISBN:

The methods for analyzing data in one dimension (usually time) are highly developed. However, in several dimensions, most applied workers only use one class of methods -- that in which the data is assumed to be the sum of a deterministic trend and an uncorrelated random error. The more general model with a spatially correlated error has been neglected in most fields -- oceanography is a conspicuous exception. This neglect is partly due to the lack of expositions for the applied workers. However, the manner in which much geological data is now collected does make this application difficult. The aim of this paper is to explain the relevance of the possible models and methods and to indicate their data requirements. An appendix has been added on Matheron's work.