GRASS GIS: A multi-purpose open source GIS
作者： Markus Neteler , M. Hamish Bowman , Martin Landa , Markus Metz
DOI: 10.1016/J.ENVSOFT.2011.11.014
关键词:
摘要: The GIS software sector has developed rapidly over the last ten years. Open Source applications are gaining relevant market shares in academia, business, and public administration. In this paper, we illustrate history features of a key GIS, Geographical Resources Analysis Support System (GRASS). GRASS been under development for more than 28 years, strong ties into its review mechanisms led to integration well tested documented algorithms joint suite which used regularly environmental modelling. is community-based with developers distributed globally. Through use an online source code repository, mailing lists Wiki, users communicate order existing develop new methods. provide functionality overview 400 modules available latest stable release. This release runs natively on common operating systems (MS-Windows, GNU/Linux, Mac OSX), giving basic advanced casual expert users. second part, selected publications focus modelling wealth cases open free GIS.
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Tomas Cebecauer, Marcel Šúri, Jaroslav Hofierka, Processing digital terrain models by regularized spline with tension: tuning interpolation parameters for different input datasets ,(2002)
Marcel Šúri, Thomas Huld, Ewan D. Dunlop, Jaroslav Hofierka, Solar Resource Modelling for Energy Applications Springer, Berlin, Heidelberg. pp. 259- 273 ,(2007) , 10.1007/978-3-540-36731-4_11
RS Bivand, Virgilio Gomez-Rubio, EJ Pebesma, Applied Spatial Data Analysis with R. Springer Springer. ,(2008)
Shinji Masumoto, Venkatesh Raghavan, Tatsuya Nemoto, Susumu Nonogaki, Norihiro Hattori, Markus Neteler, Toru Mori, Makoto Niwa, Akira Hagiwara, Multi-Language Support and Localization of GRASS GIS International journal of geoinformatics. ,vol. 1, ,(2005)
C. Furlanello, S. Merler, S. Menegon, A. Rizzoli, A. Donini, S. Fontanari, C. Chemini, M. Neteler, GIS and the Random Forest Predictor: Integration in R for Tick-Borne Disease Risk Assessment ,(2003)
Helena Mitasova, Chris Thaxton, Jaroslav Hofierka, Richard McLaughlin, Amber Moore, Lubos Mitas, Path sampling method for modeling overland water flow, sediment transport, and short term terrain evolution in Open Source GIS Developments in water science. ,vol. 55, pp. 1479- 1490 ,(2004) , 10.1016/S0167-5648(04)80159-X
Roger S Bivand, Edzer J Pebesma, Virgilio Gómez-Rubio, Edzer Jan Pebesma, None, Applied spatial data analysis with R Springer. ,(2013) , 10.1007/978-1-4614-7618-4
Ana Silva, GRASS GIS in Grid Environment Managed Grids and Cloud Systems in the Asia-Pacific Research Community. pp. 157- 163 ,(2010) , 10.1007/978-1-4419-6469-4_11
William L. Baker, Yunming Cai, The r.le programs for multiscale analysis of landscape structure using the GRASS geographical information system Landscape Ecology. ,vol. 7, pp. 291- 302 ,(1992) , 10.1007/BF00131258
Markus Neteler, Estimating Daily Land Surface Temperatures in Mountainous Environments by Reconstructed MODIS LST Data Remote Sensing. ,vol. 2, pp. 333- 351 ,(2010) , 10.3390/RS1020333