Results for 'Geographic Information Science (GIS)'

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  1. Geographical Categories: An Ontological Retrospective.Barry Smith & David M. Mark - 2001 - International Journal of Geographical Information Science 15 (7):507–512.
    Since it is only five years since the publication of our paper, "Geographical categories: An ontological investigation" (Smith and Mark 2001), it seems somewhat strange to be making retrospective comments on the piece. Nevertheless, the field is moving quickly, and much has happened since the article appeared. A large number of papers have already cited the work, which suggests that there is a seam here that people find worthy of being mined. In this short essay, we first review the paper (...)
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  2. Mapping Kinds in GIS and Cartography.Rasmus Grønfeldt Winther - 2015 - In Catherine Kendig (ed.), Natural Kinds and Classification in Scientific Practice. Routledge. pp. 197-216.
    Geographic Information Science (GIS) is an interdisciplinary science aiming to detect and visually represent patterns in spatial data. GIS is used by businesses to determine where to open new stores and by conservation biologists to identify field study locations with relatively little anthropogenic influence. Products of GIS include topographic and thematic maps of the Earth’s surface, climate maps, and spatially referenced demographic graphs and charts. In addition to its social, political, and economic importance, GIS is of (...)
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  3. Layers: A New Approach to Locating Objects in Space.Maureen Donnelly & Barry Smith - 2003 - In W. Kuhn M. F. Worboys & S. Timpf (eds.), Spatial Information Theory: Foundations of Geographic Informa­tion Science. Springer. pp. 50-65.
    Standard theories in mereotopology focus on relations of parthood and connection among spatial or spatio-temporal regions. Objects or processes which might be located in such regions are not normally directly treated in such theories. At best, they are simulated via appeal to distributions of attributes across the regions occupied or by functions from times to regions. The present paper offers a richer framework, in which it is possible to represent directly the relations between entities of various types at different levels, (...)
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