Handbook of spatial analysis in the social sciences

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書誌事項

Handbook of spatial analysis in the social sciences

edited by Sergio J. Rey, Rachel S. Franklin

E. Elgar Pub., c2022

  • : cased

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

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 Sebastien 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

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