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Geocomputation and open source software: components and software stacks

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  • Bivand, Roger

    (Dept. of Economics, Norwegian School of Economics and Business Administration)

Abstract

Geocomputation, with its necessary focus on software development and methods innovation, has enjoyed a close relationship with free and open source software communities. These extend from communities providing the numerical infrastructure for computation, such as BLAS (Basic Linear Algebra Subprograms),through language communities around Python, Java and others, to communities supporting spatial data handling, especially the projects of the Open Source Geospatial Foundation. This chapter surveys the stack of software components available for geocomputation from these sources, looking in most detail at the R language and environment, and how OSGeo projects have been interfaced with it. In addition, attention will be paid to open development models and community participation in software development. Since free and open source geospatial software has also achieved a successively greater presence in proprietary software as computational platforms evolve, the chapter will close with some indications of future trends in software component stacks, using Terralib as an example.

Suggested Citation

  • Bivand, Roger, 2011. "Geocomputation and open source software: components and software stacks," Discussion Paper Series in Economics 23/2011, Norwegian School of Economics, Department of Economics.
    • Handle: RePEc:hhs:nhheco:2011_023
    as

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    References listed on IDEAS

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    1. Foros, Øystein & Jarle Kind, Hans & Shaffer, Greg, 2011. "Mergers and partial ownership," European Economic Review, Elsevier, vol. 55(7), pages 916-926.
    2. Kunze, Astrid & Troske, Kenneth R., 2012. "Life-cycle patterns in male/female differences in job search," Labour Economics, Elsevier, vol. 19(2), pages 176-185.
    3. Sergio Rey, 2009. "Show me the code: spatial analysis and open source," Journal of Geographical Systems, Springer, vol. 11(2), pages 191-207, June.
    4. Haywood, Andrew & Stone, Christine, 2011. "Mapping eucalypt forest susceptible to dieback associated with bell miners (Manorina melanophys) using laser scanning, SPOT 5 and ancillary topographical data," Ecological Modelling, Elsevier, vol. 222(5), pages 1174-1184.
    5. Altman, Micah & McDonald, Michael P., 2011. "BARD: Better Automated Redistricting," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i04).
    6. Eddelbuettel, Dirk & Francois, Romain, 2011. "Rcpp: Seamless R and C++ Integration," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i08).
    7. Stefan Theußl & Uwe Ligges & Kurt Hornik, 2011. "Prospects and challenges in R package development," Computational Statistics, Springer, vol. 26(3), pages 395-404, September.
    8. Meyer, David & Hornik, Kurt, 2009. "Generalized and Customizable Sets in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i02).
    9. Goslee, Sarah C., 2011. "Analyzing Remote Sensing Data in R: The landsat Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i04).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Geocomputation; Open source software;

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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