Global-Detector; GIS- and Knowledge-based tool for a global detection of the potential for production, supply and demand

W.H.G.J. Hennen, P.A.J. Daane, Kees van Duijvendijk

Research output: Chapter in Book/Report/Conference proceedingConference paper

1 Citation (Scopus)

Abstract

Wageningen Economic Research has developed Global-Detector, a knowledge-based Geographic Information System that aims to detect the worldwide potential for production, demand and market strategies. At any spot in the world Global-Detector can show the values from a large amount of indicators, such as climate, infrastructure, and land characteristics. A large set of indicators is readily available for use without any GIS-processing, and the model builder together with the expert can instantly start building the knowledge base for the concerning research aim. Knowledge from experts is applied to combine relevant indicators to create new indicators. The concept of Global-Detector and 10 applications developed by this tool are described. As a generic tool with increased flexibility, Global-Detector has many application possibilities in a wide variety of fields.
Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management; Porto, Portugal, 27-28 April 2017
EditorsL. Ragia, J.G. Rocha, R. Laurini
PublisherSciTePress
Pages161-168
ISBN (Print)9789897582523
DOIs
Publication statusPublished - 2017
EventProceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Porto, Portugal
Duration: 27 Apr 201728 Apr 2017

Conference

ConferenceProceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management
CountryPortugal
CityPorto
Period27/04/1728/04/17

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Hennen, W. H. G. J., Daane, P. A. J., & van Duijvendijk, K. (2017). Global-Detector; GIS- and Knowledge-based tool for a global detection of the potential for production, supply and demand. In L. Ragia, J. G. Rocha, & R. Laurini (Eds.), Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management; Porto, Portugal, 27-28 April 2017 (pp. 161-168). SciTePress. https://doi.org/10.5220/0006256201610168