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Establishing a framework for Open Geographic Information science
Authors:Alex David Singleton  Seth Spielman  Chris Brunsdon
Institution:1. Department of Geography and Planning, University of Liverpool, Liverpool, UK;2. Department of Geography, University of Colorado, Boulder, CO, USA;3. National Centre for Geocomputation School of Environmental Sciences, National University of Ireland at Maynooth, Maynooth, Ireland
Abstract:When conducting research within a framework of Geographic Information Science (GISc), the scientific validity of this work can be argued as highly dependent upon the extent to which the methods employed are reproducible, and that, in the strictest sense, can only be fully achieved by implementing transparent workflows that utilize both open source software and openly available data. After considering the scientific implications of non-reproducible methods, we provide a review of both open source Geographic Information Systems (GIS) and openly available data, before describing an integrated model for Open GISc. We conclude with a critical review of this embryonic paradigm, with directions for future development in supporting spatial data infrastructure.
Keywords:Geographic Information Science  Geographic Information Systems  reproducibility  open source  Open Data
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