Trend-surface Analysis of Geographical Data Surfaces
Author | : Donald Allen Olmstead |
Publisher | : |
Total Pages | : 366 |
Release | : 1968 |
Genre | : Mathematical geography |
ISBN | : |
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Author | : Donald Allen Olmstead |
Publisher | : |
Total Pages | : 366 |
Release | : 1968 |
Genre | : Mathematical geography |
ISBN | : |
Author | : A. Goodman |
Publisher | : |
Total Pages | : 57 |
Release | : 1983 |
Genre | : Cluster analysis |
ISBN | : 9780909685164 |
Author | : Neil Wrigley |
Publisher | : Geo Abstracts University of East Anglia |
Total Pages | : 92 |
Release | : 1977 |
Genre | : Mathematics |
ISBN | : |
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.
Author | : David J. Unwin |
Publisher | : |
Total Pages | : 0 |
Release | : 1975 |
Genre | : Geografia matemàtica |
ISBN | : |
Author | : Mae Ziglin Meidav |
Publisher | : |
Total Pages | : 604 |
Release | : 1975 |
Genre | : Contours (Cartography) |
ISBN | : |
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.
Author | : G. L. Gaile |
Publisher | : |
Total Pages | : 500 |
Release | : 2014-09-01 |
Genre | : |
ISBN | : 9789401730495 |