GRASS GIS: a peer-reviewed scientific platform and future research repository

Over the last decades, GIS has become a key driver in geospatial science, research and application. GIS software which is licensed under a free and open source software (FOSS) licence is more than just a mere tool for spatial analysis. GRASS GIS (Neteler et al., 2012 [17]), a free and open source GIS, is used by many scientists directly or as a backend in other projects such as R or QGIS to perform geoprocessing tasks. Thanks to the user and developer community, submitted code is evaluated in different fields of application beyond the field of expertise of the original authors, and different scales of magnitude of data. This exceeds the established review process for scientific writing in a given journal or a data publication in a defined field of science. Immediate access to the software repository enables instant quality checking of the current software version both by continuous automated tests (Petras, 2014 [18]), and code review by human experts. New scientific algorithms can be developed against the reviewed functionalities already provided by the GRASS GIS codebase. This avoids unnecessary overheads, by re-implementation, ensures quality by use of trusted components and allows reuse and long term preservation within the project software repository. Integrating scientific algorithms into GRASS GIS helps to preserve reproducibility of scientific results over time as the original author designed it (Rocchini & Neteler, 2012 [22]).

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