Quantitative Geography: Perspectives on Spatial Data Analysis

Front Cover
SAGE, May 2, 2000 - Science - 270 pages
Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the new quantitative methodologies and contrasts them with the methods associated with geography's `Quantitative Revolution' of the 1960s. Key issues discussed include: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; point pattern analysis; spatial regression; and statistical inference. Concluding with a review of models used in spatial theory, the authors discuss the current challenges to spatial data analysis.

Written to be accessible, to communicate the diversity and excitement of recent thinking, Quantitative Geog

 

Selected pages

Contents

II
1
III
4
IV
8
V
10
VI
13
VII
14
VIII
15
IX
16
LXIV
115
LXV
117
LXVI
118
LXVII
128
LXVIII
129
LXX
130
LXXI
132
LXXII
134

X
17
XI
18
XII
20
XIII
21
XIV
22
XV
24
XVI
25
XVII
29
XIX
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XX
32
XXII
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XXIII
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XXIV
35
XXV
37
XXVI
38
XXVII
41
XXVIII
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XXIX
45
XXX
46
XXXI
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XXXIII
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XXXIV
54
XXXV
55
XXXVI
58
XXXVIII
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XXXIX
61
XL
64
XLII
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XLIII
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XLIV
68
XLV
70
XLVI
71
XLVII
72
XLVIII
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XLIX
77
L
80
LI
82
LII
86
LIII
91
LIV
92
LV
93
LVI
94
LVII
96
LVIII
97
LIX
102
LX
103
LXI
106
LXII
107
LXIII
114
LXXIII
136
LXXIV
138
LXXV
144
LXXVI
146
LXXVII
149
LXXVIII
154
LXXIX
155
LXXX
157
LXXXI
159
LXXXII
160
LXXXIII
161
LXXXIV
162
LXXXV
166
LXXXVI
167
LXXXVII
169
LXXXVIII
171
LXXXIX
175
XC
176
XCI
178
XCII
182
XCIII
184
XCIV
187
XCV
193
XCVII
198
XCVIII
201
XCIX
204
C
206
CI
210
CII
211
CIV
213
CV
215
CVI
217
CVII
222
CVIII
225
CIX
234
CX
235
CXI
236
CXII
237
CXIII
240
CXIV
242
CXV
243
CXVI
244
CXVII
245
CXVIII
246
CXIX
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CXXI
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CXXII
267
Copyright

Other editions - View all

Quantitative Geography: Perspectives on Spatial Data Analysis
A Stewart Fotheringham,Chris Brunsdon,Martin Charlton
Limited preview - 2000
Quantitative Geography: Perspectives on Spatial Data Analysis
A Stewart Fotheringham,Chris Brunsdon,Martin Charlton
Limited preview - 2000
Quantitative Geography: Perspectives on Spatial Data Analysis
A Stewart Fotheringham,Chris Brunsdon,Martin Charlton
Limited preview - 2000
View all »

Common terms and phrases

aggregated alternative application approach aspatial attributes bandwidth Bayesian behaviour boundaries Brunsdon burglaries calibration Chapter clustering coefficients confidence interval consider coordinates correlation counts data set defined density estimate digitized distance Equation error terms example exploratory Fotheringham framework function Geographical Information Systems global grid individual inference kernel kriging layer LLTI matrix measure methods microstates Moran's multilevel modelling multivariate null hypothesis observed Openshaw outliers output parallel coordinates parameter estimates plot point data point pattern analysis polygon population population density possible probability density problem PROFMAN projection projection pursuit properties quantitative geography RADVIZ random regression model relationships represents sample scatterplot second-order space spatial analysis spatial autocorrelation spatial choice spatial data analysis spatial distribution spatial interaction models spatial modelling spatial patterns spatial processes spatial variation square statistical study area surface techniques theoretical unemployment values variables variance variance-covariance matrix vector visualization zero zones

References to this book

About the author (2000)

Chris Brunsdon is Professor of Geocomputation at the National University of Ireland, Maynooth. He studied Mathematics at the University of Durham and Medical Statistics at the University of Newcastle upon Tyne, and has worked in a number of universities, holding the Chair in Human Geography at Liverpool University before taking up his current position. His research interests are in health, crime and environmental data analysis, and in the development of spatial analytical tools, including Geographically Weighted Regression approach. He also has interests in the software tools used to develop such approaches, including R.

Bibliographic information

TitleQuantitative Geography: Perspectives on Spatial Data Analysis
AuthorsA Stewart Fotheringham, Chris Brunsdon, Martin Charlton
Editionillustrated, reprint
PublisherSAGE, 2000
ISBN0761959483, 9780761959489
Length270 pages
Subjects ›  › 

Science / Earth Sciences / Geography
Science / Environmental Science
Social Science / General
  
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