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Toward Spatially Integrated Social Science

Author

Listed:
  • Michael F. Goodchild

    (Department of Geography, University of California, Santa Barbara, good@ncgia.ucsb.edu)

  • Luc Anselin

    (Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, anselin@uiuc.edu)

  • Richard P. Appelbaum

    (Department of Sociology, University of California, Santa Barbara, appelbau@alishaw.sscf.ucsb.edu)

  • Barbara Herr Harthorn

    (Department of Anthropology, University of California, Santa Barbara, bharthor@omni.ucsb.edu)

Abstract

This article outlines the motivation for a spatial approach as a novel focus for cross-disciplinary interaction and research in the social and behavioral sciences. The authors review the emerging interest in space and place in the recent social science literature and develop a vision for a spatially integrated social science. This vision provides the conceptual basis for a program of six activities designed to promote a spatial perspective: learning resources, workshops, best-practice examples, place-based search, software tools, and a virtual community. The six programs will be informed by advances in the methods, technologies, and principles underlying spatial information science.

Suggested Citation

  • Michael F. Goodchild & Luc Anselin & Richard P. Appelbaum & Barbara Herr Harthorn, 2000. "Toward Spatially Integrated Social Science," International Regional Science Review, , vol. 23(2), pages 139-159, April.
  • Handle: RePEc:sae:inrsre:v:23:y:2000:i:2:p:139-159
    DOI: 10.1177/016001760002300201
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    Cited by:

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    2. Yanhui Wang & Heying Li, 2017. "Modeling Comprehensive Dispersion of the Administrative Villages and Its Association with Economic Poverty: A Case Study from Poverty-Stricken Mountainous County, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 67-91, August.
    3. Zhang, Tonglin & Lin, Ge, 2016. "On Moran’s I coefficient under heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 83-94.
    4. Yong Luo & Hui Yu & Siyuan Liu & Yuting Liang & Shaoquan Liu, 2019. "Spatial Heterogeneity and Coupling of Economy and Population Gravity Centres in the Hengduan Mountains," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    5. Mercado, Ruben & Páez, Antonio, 2009. "Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA, Canada," Journal of Transport Geography, Elsevier, vol. 17(1), pages 65-76.
    6. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    7. Minyoung Kim & Sunghoon Kim & Jongkuk Lee, 2018. "Spatial heterogeneity of country-of-origin effects within a country: analysis of online review ratings in the US car market," Marketing Letters, Springer, vol. 29(2), pages 189-205, June.
    8. Ghetian, Christie B. & Parrott, Roxanne & Volkman, Julie E. & Lengerich, Eugene J., 2008. "Cancer registry policies in the United States and geographic information systems applications in comprehensive cancer control," Health Policy, Elsevier, vol. 87(2), pages 185-193, August.
    9. Jifei Zhang & Wei Deng, 2016. "Multiscale Spatio-Temporal Dynamics of Economic Development in an Interprovincial Boundary Region: Junction Area of Tibetan Plateau, Hengduan Mountain, Yungui Plateau and Sichuan Basin, Southwestern C," Sustainability, MDPI, vol. 8(3), pages 1-18, February.
    10. William Mitchell, 2014. "Spatial econometric modelling," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 17, pages 345-377, Edward Elgar Publishing.
    11. Daniele Trogu & Michele Campagna, 2018. "Towards Spatial Composite Indicators: A Case Study on Sardinian Landscape," Sustainability, MDPI, vol. 10(5), pages 1-21, April.
    12. Sergio J. Rey & Mark V. Janikas, 2005. "Regional convergence, inequality, and space," Journal of Economic Geography, Oxford University Press, vol. 5(2), pages 155-176, April.
    13. Robert J. Stimson, 2014. "A spatially integrated approach to social science research," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 0, pages 13-25, Edward Elgar Publishing.
    14. Dobers, Geesche M., 2019. "Acceptance of biogas plants taking into account space and place," Energy Policy, Elsevier, vol. 135(C).
    15. Susan Chen & Raymond J. G. M. Florax & Samantha Snyder & Christopher C. Miller, 2010. "Obesity and Access to Chain Grocers," Economic Geography, Taylor & Francis Journals, vol. 86(4), pages 431-452, October.
    16. Sergio J. Rey & Mark V. Janikas, 2003. "Convergence and space," Urban/Regional 0311002, University Library of Munich, Germany, revised 16 Nov 2003.
    17. Wang, Yuandi & Hu, Ruifeng & Liu, Meijun, 2017. "The geotemporal demographics of academic journals from 1950 to 2013 according to Ulrich’s database," Journal of Informetrics, Elsevier, vol. 11(3), pages 655-671.

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