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Show me the code: Spatial analysis and open source

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  • Rey, S.J.

Abstract

This paper considers the intersection of academic spatial analysis with the open source revolution. Its basic premise is that the potential for cross-fertilization between the two is rich, yet some misperceptions about these two communities pose challenges to realizing these opportunities. The paper provides a primer on the open source movement for academicians with an eye towards correcting these misperceptions. It identifies a number of ways in which increased adoption of open source practices in spatial analysis can enhance the development of the next generation of tools and the wider practice of scientific research and education.

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File URL: http://mpra.ub.uni-muenchen.de/9260/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 9260.

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Date of creation: 21 Jun 2008
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Handle: RePEc:pra:mprapa:9260

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Keywords: open source; spatial analysis;

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References

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  1. Ault, David E & Rutman, Gilbert L & Stevenson, Thomas, 1979. "Mobility in the Labor Market for Academic Economists," American Economic Review, American Economic Association, vol. 69(2), pages 148-53, May.
  2. Luc Anselin & Yong Wook Kim & Ibnu Syabri, 2004. "Web-based analytical tools for the exploration of spatial data," Journal of Geographical Systems, Springer, vol. 6(2), pages 197-218, 06.
  3. Anselin, Luc & Getis, Arthur, 1992. "Spatial Statistical Analysis and Geographic Information Systems," The Annals of Regional Science, Springer, vol. 26(1), pages 19-33, April.
  4. Rey, Sergio J. & Anselin, Luc, 2007. "PySAL: A Python Library of Spatial Analytical Methods," The Review of Regional Studies, Southern Regional Science Association, vol. 37(1), pages 5-27.
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Cited by:
  1. Bivand, Roger, 2011. "Geocomputation and open source software: components and software stacks," Discussion Paper Series in Economics 23/2011, Department of Economics, Norwegian School of Economics.
  2. Xingjian Liu & James LeSage, 2010. "Arc_Mat: a Matlab-based spatial data analysis toolbox," Journal of Geographical Systems, Springer, vol. 12(1), pages 69-87, March.
  3. Roger Bivand & Gianfranco Piras, 2013. "Comparing Implementations of Estimation Methods for Spatial Econometrics," Working Papers 201301, Regional Research Institute, West Virginia University.
  4. Sergio Rey, 2014. "Open regional science," The Annals of Regional Science, Springer, vol. 52(3), pages 825-837, May.
  5. Páez, Antonio & Trépanier, Martin & Morency, Catherine, 2011. "Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 640-652, August.
  6. repec:asg:wpaper:1013 is not listed on IDEAS
  7. repec:asg:wpaper:1047 is not listed on IDEAS

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