Abstract
The aim of this paper is to present two Open Source applications — R (programming environment for data analysis and graphics) and GRASS (geographic resources and analysis support system) Open Source Free GIS. Even-though there is a plethora of GIS and statistical applications on the market, the two applications are among the leaders in Open Source statistical and GIS solutions(l). Both are well-suited for research, educational purposes and for studies where non-trivial analyses are required. Moreover, sophisticated algorithms make them the right choice for scientists, and access to the source code makes them the right choice for those who can alter the code and suit it for specific purposes.
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Bonk, R. (2007). GRASS and R — Advanced GIS and Statistical Tools for DEM Analysis. In: Peckham, R.J., Jordan, G. (eds) Digital Terrain Modelling. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36731-4_12
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DOI: https://doi.org/10.1007/978-3-540-36731-4_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36730-7
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