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Geocomputation and open source software:components and software stacks

Bivand, Roger S.
Working paper
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URI
http://hdl.handle.net/11250/163358
Date
2011-11
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  • Discussion papers (SAM) [604]
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.
Publisher
Norwegian School of Economics, Department of Economics
Series
Discussion Papers;23/2011

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