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Handbook of Spatial Analysis in the Social Sciences
Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.
More Information
Critical Acclaim
Contributors
Contents
More Information
Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.
The chapters are split into insightful sections dedicated to foundational background material, methods, social science applications and the challenges on the horizon, using state-of-the-art coverage of the traditional and novel spatial methods. Leading scholars in the field use a range of applications to illustrate the diverse ways in which spatial analysis methods can inform research in the field of social sciences. Furthermore, the Handbook discusses the key challenges to that research including uncertainty, reproducibility and replicability.
This Handbook of Spatial Analysis in the Social Sciences will be an excellent informative resource for scholars in the fields of geography, social sciences and public health. Established and early career researchers of the social sciences alike will appreciate the detailed overview of the methods and applications as well as the ability to expand their methodological knowledge.
The chapters are split into insightful sections dedicated to foundational background material, methods, social science applications and the challenges on the horizon, using state-of-the-art coverage of the traditional and novel spatial methods. Leading scholars in the field use a range of applications to illustrate the diverse ways in which spatial analysis methods can inform research in the field of social sciences. Furthermore, the Handbook discusses the key challenges to that research including uncertainty, reproducibility and replicability.
This Handbook of Spatial Analysis in the Social Sciences will be an excellent informative resource for scholars in the fields of geography, social sciences and public health. Established and early career researchers of the social sciences alike will appreciate the detailed overview of the methods and applications as well as the ability to expand their methodological knowledge.
Critical Acclaim
‘Rey and Franklin introduce this new Handbook with an allusion to a rapidly changing landscape. And perhaps because any landscape, but especially a swiftly evolving one needs solid landmarks, this collection is a welcome addition to the literature that should appeal to any researchers in the social sciences working to learn the ropes of spatial analysis.’
– Antonio Paez, McMaster University, Canada
‘A comprehensive collection of chapters, carefully curated, spanning the current state of the art of spatial analysis in the social sciences written by established experts in the field ably accompanied by those creating the expertise of the future.’
– Danny Dorling, Oxford University, UK
– Antonio Paez, McMaster University, Canada
‘A comprehensive collection of chapters, carefully curated, spanning the current state of the art of spatial analysis in the social sciences written by established experts in the field ably accompanied by those creating the expertise of the future.’
– Danny Dorling, Oxford University, UK
Contributors
Contributors: Li An, Clio Andris, Luc Anselin, Sophia Arabadjis, Daniel Arribas-Bel, Michael Batty, Roger Bivand, Geoff Boeing, Sebastien Breau, Barbara Buttenfield, Meixu Chen, Sam Comber, Andrew Crooks, Elizabeth Delmelle, Somayeh Dodge, David Folch, Stewart A. Fotheringham, Rachel S. Franklin, Michael Goodchild, Tony Grubesic, Richard Harris, Trevor Harris, Edward Helderop, Alison Heppenstall, Victoria Houlden, Shan Jiang, Zhe Jiang, Wei Kang, Elijah Knaap, Wenwen Li, Nik Lomax, Jed Long, Nick Malleson, Ed Manley, Alan Murray, Taylor Oshan, Alasdair Rae, Jonathan Reades, Sergio J. Rey, Colin Robertson, Caitlin Robinson, Fransico Rowe, Mehak Sachdeva, Dipto Sarkar, Lisa Schweitzer, Arun Sharma, Shashi Shekar, Stuart Sweeney, Emily Talen, Ran Wei, Levi John Wolf
Contents
Contents:
Introduction: Spatial analysis and the social sciences in a rapidly changing landscape xi
Sergio J. Rey and Rachel S. Franklin
PART 1 THEORY, FRAMEWORKS AND FOUNDATIONS
1 GIScience through the looking glass 2
Barbara P. Buttenfield
2 Locating spatial data in the social sciences 16
Jonathan Reades
3 Analytical environments 36
Roger Bivand
4 Complexity 64
Li An
5 Linking spatial patterns to processes 85
Colin Robertson and Jed Long
PART 2 METHODS
6 Spatial econometrics 101
Luc Anselin
7 Local modeling in a regression framework 123
Mehak Sachdeva, Taylor Oshan and A. Stewart Fotheringham
8 Simulating geographical systems using cellular automata and agent-based models 142
Alison Heppenstall, Andrew Crooks, Ed Manley and Nick Malleson
9 Microsimulation 158
Nik Lomax
10 Multilevel models 173
Richard Harris
11 Context-dependent movement analysis 187
Somayeh Dodge
12 Spatial interaction modeling 208
Taylor Oshan
13 Spatial optimization 223
Alan T. Murray
14 Cluster identification 245
Edward Helderop and Tony H. Grubesic
15 Spatial point patterns 262
Stuart Sweeney and Sophia Arabadjis
16 Spatial dynamics 277
Wei Kang
17 GeoAI in social science 291
Wenwen Li
18 Exploratory spatial data analysis 305
Ran Wei
19 Geovisualization and geovisual analysis 322
Alasdair Rae
20 Immersive virtual reality and spatial analysis 336
Trevor M. Harris
21 Spatiotemporal data mining 352
Arun Sharma, Zhe Jiang and Shashi Shekhar
PART 3 APPLICATIONS
22 Neighborhood change 370
Elizabeth Delmelle
23 The spatial analysis of gentrification: Formalizing geography in models of a
multidimensional urban process 384
Elijah Knaap
24 Social networks in space 400
Clio Andris and Dipto Sarkar
25 Analysing the dynamics of inter-regional inequality: The case of Canada 416
Sébastien Breau
26 Spatial approaches to energy poverty 434
Caitlin Robinson
27 The shape of bias: Understanding the relationship between compactness and
bias in U.S. elections 451
Levi John Wolf
28 Space and New Urbanism 470
Emily Talen
29 Space for wellbeing 481
Victoria Houlden
30 Urban analytics: History, trajectory and critique 503
Geoff Boeing, Michael Batty, Shan Jiang and Lisa Schweitzer
PART 4 EMERGING CHALLENGES AND ISSUES
31 Reproducibility and replicability in spatial science 518
Michael F. Goodchild
32 An image library: The potential of imagery in (quantitative) social sciences 528
Daniel Arribas-Bel, Francisco Rowe, Meixu Chen and Sam Comber
33 Uncertainty 544
David C. Folch
Index 559
Introduction: Spatial analysis and the social sciences in a rapidly changing landscape xi
Sergio J. Rey and Rachel S. Franklin
PART 1 THEORY, FRAMEWORKS AND FOUNDATIONS
1 GIScience through the looking glass 2
Barbara P. Buttenfield
2 Locating spatial data in the social sciences 16
Jonathan Reades
3 Analytical environments 36
Roger Bivand
4 Complexity 64
Li An
5 Linking spatial patterns to processes 85
Colin Robertson and Jed Long
PART 2 METHODS
6 Spatial econometrics 101
Luc Anselin
7 Local modeling in a regression framework 123
Mehak Sachdeva, Taylor Oshan and A. Stewart Fotheringham
8 Simulating geographical systems using cellular automata and agent-based models 142
Alison Heppenstall, Andrew Crooks, Ed Manley and Nick Malleson
9 Microsimulation 158
Nik Lomax
10 Multilevel models 173
Richard Harris
11 Context-dependent movement analysis 187
Somayeh Dodge
12 Spatial interaction modeling 208
Taylor Oshan
13 Spatial optimization 223
Alan T. Murray
14 Cluster identification 245
Edward Helderop and Tony H. Grubesic
15 Spatial point patterns 262
Stuart Sweeney and Sophia Arabadjis
16 Spatial dynamics 277
Wei Kang
17 GeoAI in social science 291
Wenwen Li
18 Exploratory spatial data analysis 305
Ran Wei
19 Geovisualization and geovisual analysis 322
Alasdair Rae
20 Immersive virtual reality and spatial analysis 336
Trevor M. Harris
21 Spatiotemporal data mining 352
Arun Sharma, Zhe Jiang and Shashi Shekhar
PART 3 APPLICATIONS
22 Neighborhood change 370
Elizabeth Delmelle
23 The spatial analysis of gentrification: Formalizing geography in models of a
multidimensional urban process 384
Elijah Knaap
24 Social networks in space 400
Clio Andris and Dipto Sarkar
25 Analysing the dynamics of inter-regional inequality: The case of Canada 416
Sébastien Breau
26 Spatial approaches to energy poverty 434
Caitlin Robinson
27 The shape of bias: Understanding the relationship between compactness and
bias in U.S. elections 451
Levi John Wolf
28 Space and New Urbanism 470
Emily Talen
29 Space for wellbeing 481
Victoria Houlden
30 Urban analytics: History, trajectory and critique 503
Geoff Boeing, Michael Batty, Shan Jiang and Lisa Schweitzer
PART 4 EMERGING CHALLENGES AND ISSUES
31 Reproducibility and replicability in spatial science 518
Michael F. Goodchild
32 An image library: The potential of imagery in (quantitative) social sciences 528
Daniel Arribas-Bel, Francisco Rowe, Meixu Chen and Sam Comber
33 Uncertainty 544
David C. Folch
Index 559
