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A GeoAgent-based framework for knowledge-oriented representation: embracing social rules in GIS / C. Yu in International journal of geographical information science IJGIS, vol 23 n° 7-8 (july 2009)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n° 7-8 (july 2009) . - pp 923 - 960 Titre : A GeoAgent-based framework for knowledge-oriented representation: embracing social rules in GIS Type de document : Article/Communication Auteurs : C. Yu, Auteur ; Donna J. Peuquet, Auteur Année de publication : 2009 Article en page(s) : pp 923 - 960 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] agent (intelligence artificielle) [Termes IGN] base de connaissances [Termes IGN] base de règles [Termes IGN] cadre conceptuel [Termes IGN] interaction homme-milieu [Termes IGN] modèle conceptuel de données localisées [Termes IGN] Pennsylvanie (Etats-Unis) [Termes IGN] prototype [Termes IGN] représentation des connaissances [Termes IGN] système à base de connaissances [Termes IGN] système multi-agents Résumé : (Auteur) While current Geographic Information Systems (GISs) can represent observational spatial data well, they have limited capabilities in representing some non-observational social elements and goal-driven behaviours that can be important factors in a wide range of geographic issues. Such social components may include laws, regulations, polices, plans, culture, and customs, as well as their relations and interactions with the geographic environment at different scales. Getting beyond traditional data-centred approaches, this research presents a knowledge-oriented strategy in order to address these issues within a GIS context. We incorporate two major conceptual elements. First, extending from conventional agent notions and their geographic applications, geographic agents (GeoAgents) are considered as a basic representation component to specifically address social rules and goal-driven behaviours that impact the Earth and environmental systems. Second, in order to incorporate GeoAgents with current space-time representation, a new conceptual representation framework, called 'fields, objects, time, GeoAgents, and relations' (FOTAR), is introduced to address the cross-scale processes of both social and natural interactions. A Java-based prototype, GeoAgent-based Knowledge System (GeoAgentKS), is described to implement this framework by integrating agent technologies with multiple data and knowledge representation techniques, such as expert systems, concept maps, mathematical models, and geospatial databases. The application of this prototype in a case study is also presented, investigating scale-dependent human-environment interactions under different emergency situations for community water systems in Central Pennsylvania, USA. In this case study, a systematic set of methodologies of knowledge acquisition, representation, and confirmation for constructing GeoAgents' knowledge bases by using expert systems were explored to formalize high-level knowledge and social behaviours in the FOTAR-based representations. The results show that the proposed conceptual representation framework is achievable at both implementation and application levels, and the prototype tool is demonstrated to be valuable in facilitating knowledge sharing, policymaking, municipal management, and decision-making, especially for real-world emergency management. Copyright Taylor & Francis Numéro de notice : A2009-341 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810701602104 En ligne : https://doi.org/10.1080/13658810701602104 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29971 [article]

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Extensions to least-cost path algorithms for roadway planning / C. Yu in International journal of geographical information science IJGIS, vol 17 n° 4 (june 2003)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 17 n° 4 (june 2003) . - pp 361 - 376 Titre : Extensions to least-cost path algorithms for roadway planning Type de document : Article/Communication Auteurs : C. Yu, Auteur ; M.J. Munro-Stasiuk, Auteur ; J. Lee, Auteur Année de publication : 2003 Article en page(s) : pp 361 - 376 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] calcul d'itinéraire [Termes IGN] chemin le moins coûteux, algorithme du [Termes IGN] données matricielles [Termes IGN] Java (langage de programmation) [Termes IGN] modèle numérique de surface [Termes IGN] réseau routier [Termes IGN] système d'information géographique [Termes IGN] tracé routier [Termes IGN] transport routier Résumé : (Auteur) Finding a leastcostpath in a raster data format is a useful function in geographical information systems. However, existing algorithms are often inadequate for practical roadway planning. This paper improves conventional algorithms by including the considerations of spatial distances, anisotropic costs and the presence of bridges and tunnels in the paths. This new algorithm is implemented in JAVA to run with actual remote sensing and DEM data. The experimental results show that this approach produces realistic leastcost paths for practical roadway planning. Numéro de notice : A2003-107 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/1365881031000072645 En ligne : https://doi.org/10.1080/1365881031000072645 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22403 [article]

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079-03042	RAB	Revue	Centre de documentation	En réserve L003	Disponible