Spatial Statistics and Models
β Scribed by Daniel A. Griffith (auth.), Gary L. Gaile, Cort J. Willmott (eds.)
- Publisher
- Springer Netherlands
- Year
- 1984
- Tongue
- English
- Leaves
- 480
- Series
- Theory and Decision Library 40
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The quantitative revolution in geography has passed. The spirited debates of the past decades have, in one sense, been resolved by the inclusion of quantitative techniques into the typical geographer's set of methodological tools. A new decade is upon us. Throughout the quantitative revolution, geographers ransacked related disciplines and mathematics in order to find tools which might be applicable to problems of a spatial nature. The early success of Berry and Marble's Spatial Analysis and Garrison and Marble's volumes on Quantitative GeogΒ raphy is testimony to their accomplished search. New developments often depend heavily on borrowed ideas. It is only after these developments have been established that the necessary groundwork for true innovation obΒ tains. In the last decade, geographers significantly -augmented their methodologiΒ cal base by developing quantitative techniques which are specifically directed towards analysis of explicitly spatial problems. It should be pointed out, however, that the explicit incorporation of space into quantitative techniques has not been the sole domain of geographers. Mathematicians, geologists, meteorologists, economists, and regional scientists have shared the geoΒ grapher's interest in the spatial component of their analytical tools.
β¦ Table of Contents
Front Matter....Pages i-x
Front Matter....Pages 1-1
Theory of Spatial Statistics....Pages 3-15
Statistics and Human Geography....Pages 17-32
Geocoding and Geosampling....Pages 33-53
Classification in Human Geography....Pages 55-79
Classification in Climatology....Pages 81-108
Real Maps, Virtual Maps and Interactive Cartography....Pages 109-132
Computer Mapping: The SYMAP Interpolation Algorithm....Pages 133-145
Trend Surface Analysis....Pages 147-171
Nonlinear Models and Methods....Pages 173-190
Some Problems with the Use of Regression Analysis in Geography....Pages 191-199
Spatial Autocorrelation in Regression Analysis: A Beginnerβs Guide....Pages 201-222
Measures of Spatial Equality....Pages 223-233
Advances in the Analysis of Spatial Time Series....Pages 235-251
Directional Data Analysis....Pages 253-270
Topology of Tree-Like Networks....Pages 271-291
Measuring and Comparing Two-Dimensional Shapes....Pages 293-312
Front Matter....Pages 313-313
A Simple Step-by-Step Approach to Spatial Model Building....Pages 315-319
Recent Developments in the Analysis of Movement and Recurrent Choice....Pages 321-343
Distance-Decay Models of Residential Search....Pages 345-366
The Distance-Decay Gravity Model Debate....Pages 367-388
Front Matter....Pages 313-313
Principles of Simulation in Human Geography....Pages 389-416
Simulation Models in Climatology....Pages 417-442
On the Evaluation of Model Performance in Physical Geography....Pages 443-460
Back Matter....Pages 461-484
β¦ Subjects
Methodology of the Social Sciences
π SIMILAR VOLUMES
<p><P>Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models,
<p><P>Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models,
<p>Modern physics is confronted with a large variety of complex spatial patterns. Although both spatial statisticians and statistical physicists study random geometrical structures, there has been only little interaction between the two up to now because of different traditions and languages. <BR>Th