Discussion Paper Series in Economics, Department of Economics, Norwegian School of Economics (NHH)
Geocomputation and open source software: components and software stacks.
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.
Keywords: Geocomputation; Open source software; (follow links to similar papers)
JEL-Codes: C80; C88; Q54; R14; (follow links to similar papers)
37 pages, December 15, 2011
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