GRASS GIS: A multi-purpose open source GIS

被引:573
作者
Neteler, Markus [1 ]
Bowman, M. Hamish [2 ]
Landa, Martin [3 ]
Metz, Markus [1 ]
机构
[1] Fdn Edmund Mach, IASMA Res & Innovat Ctr, Biodivers & Mol Ecol Dept, I-38010 San Michele All Adige, TN, Italy
[2] Univ Otago, Dept Marine Sci, Dunedin, New Zealand
[3] Czech Tech Univ, Dept Mapping & Cartog, Fac Civil Engn, Prague 16629, Czech Republic
关键词
GIS; GRASS; OSGeo; Open source; Spatial analysis; Remote sensing; GEOGRAPHIC INFORMATION-SYSTEMS; HABITAT SUITABILITY; TEMPERATURE; DYNAMICS; MODELS; TOOL;
D O I
10.1016/j.envsoft.2011.11.014
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The GIS software sector has developed rapidly over the last ten years. Open Source GIS applications are gaining relevant market shares in academia, business, and public administration. In this paper, we illustrate the history and features of a key Open Source GIS, the Geographical Resources Analysis Support System (GRASS). GRASS has been under development for more than 28 years, has strong ties into academia, and its review mechanisms led to the integration of well tested and documented algorithms into a joint GIS suite which has been used regularly for environmental modelling. The development is community-based with developers distributed globally. Through the use of an online source code repository, mailing lists and a Wiki, users and developers communicate in order to review existing code and develop new methods. In this paper, we provide a functionality overview of the more than 400 modules available in the latest stable GRASS software release. This new release runs natively on common operating systems (MS-Windows, GNU/Linux, Mac OSX), giving basic and advanced functionality to casual and expert users. In the second part, we review selected publications with a focus on environmental modelling to illustrate the wealth of use cases for this open and free GIS. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:124 / 130
页数:7
相关论文
共 56 条
[1]  
[Anonymous], 2002, Trans GIS, DOI DOI 10.1111/1467-9671.00101
[2]   Moving to smaller libraries via clustering and genetic algorithms [J].
Antoniol, G ;
Di Penta, M ;
Neteler, M .
SEVENTH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING, PROCEEDINGS, 2003, :307-316
[3]   THE R LE-PROGRAMS FOR MULTISCALE ANALYSIS OF LANDSCAPE STRUCTURE USING THE GRASS GEOGRAPHICAL INFORMATION-SYSTEM [J].
BAKER, WL ;
CAI, YM .
LANDSCAPE ECOLOGY, 1992, 7 (04) :291-302
[4]   COMPUTATIONAL MODELING AND NEOLITHIC SOCIOECOLOGICAL DYNAMICS: A CASE STUDY FROM SOUTHWEST ASIA [J].
Barton, C. Michael ;
Ullah, Isaac ;
Mitasova, Helena .
AMERICAN ANTIQUITY, 2010, 75 (02) :364-386
[5]   Predicting habitat suitability with machine learning models:: The potential area of Pinus sylvestris L. in the Iberian Peninsula [J].
Benito Garzon, Marta ;
Blazek, Radim ;
Neteler, Markus ;
Sanchez de Dios, Rut ;
Sainz Ollero, Helios ;
Furlanello, Cesare .
ECOLOGICAL MODELLING, 2006, 197 (3-4) :383-393
[6]  
BIAGI L, 2004, T GIS, V8, P263
[7]  
Bivand R., 2000, P 5 C GEOCCOMPUTATIO
[8]  
Bivand RS, 2008, USE R, P1
[9]  
Brovelli M.A., 2004, T GIS, V8, P155, DOI DOI 10.1111/J.1467-9671.2004.00173.X
[10]   Managing wildlife: A spatial information system for GPS collars data [J].
Cagnacci, Francesca ;
Urbano, Ferdinando .
ENVIRONMENTAL MODELLING & SOFTWARE, 2008, 23 (07) :957-959