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Voronoi-based region approximation for geographical information retrieval with gazetteers / H. Alani in International journal of geographical information science IJGIS, vol 15 n° 4 (june 2001)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 15 n° 4 (june 2001) . - pp 287 - 306 Titre : Voronoi-based region approximation for geographical information retrieval with gazetteers Type de document : Article/Communication Auteurs : H. Alani, Auteur ; Christopher B. Jones, Auteur ; D. Tudhope, Auteur Année de publication : 2001 Article en page(s) : pp 287 - 306 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] diagramme de Voronoï [Termes IGN] modèle sémantique de données [Termes IGN] recherche d'information géographique [Termes IGN] répertoire toponymique [Termes IGN] requête spatiale Résumé : (Auteur) Gazeteers and geographical thesauri can be regarded as parsimonious spatial models that associate geographical location with place names and encode some semantic relations between the names. They are of particular value in processing information retrieval requests in which the user employs place names to specify geographical context. Typically the geometric locational data in a gazetteer are confined to a simple footprint in the form of a centroid or a minimum bounding rectangle, both of which can be used to link to a map but are of limited value in determining spatial relationships. Here we describe a Voronoi diagram method for generating approximate regional extents from sets of centroids that are respectively inside and external to a region. The resulting approximations provide measures of areal extent and can be used to assist in answering geographical queries by evaluating spatial relationships such as distance, direction and common boundary length. Preliminary experimental evaluations of the method have been performed in the context of a semantic modelling system that combines the centroid data with hierarchical and adjacency relations between the associated place names. Numéro de notice : A2001-039 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810110038942 En ligne : https://doi.org/10.1080/13658810110038942 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21741 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Optimal spatial decision making using GIS: a prototype of a Real Estate Geographical Information System (REGIS) / T.Q. Zeng in International journal of geographical information science IJGIS, vol 15 n° 4 (june 2001)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 15 n° 4 (june 2001) . - pp 307 - 321 Titre : Optimal spatial decision making using GIS: a prototype of a Real Estate Geographical Information System (REGIS) Type de document : Article/Communication Auteurs : T.Q. Zeng, Auteur ; Q. Zhou, Auteur Année de publication : 2001 Article en page(s) : pp 307 - 321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] aide à la décision [Termes IGN] immobilier (secteur) [Termes IGN] logique floue [Termes IGN] sous ensemble flou [Termes IGN] système d'information géographique Résumé : (Auteur) In the real estate business, it is a common understanding that the value and potential of a property are fundamentally determined by its location. This emphasises the significance of spatial factors in decision making in real estate. A geographical information system (GIS) is undoubtedly useful in this decision making. This paper reports on the development of a prototype real estate GIS (REGIS) by integrating fuzzy set (FZ) theory, a rule-based system (RBS) and GIS. The role of this system in the real estate business is in assisting decision makers for sellers and buyers, as well as property managers. For real estate agencies, the system can be used as an aid to selling and managing properties. For the buyers, the REGIS can function as a consultant in their decision making in purchasing properties. Methodologies are demonstrated using case studies. Developed as a generic tool with capabilities to deal with uncertainties, this prototype REGIS can also be applied to other fields, which involves optimal spatial decision making. Numéro de notice : A2001-040 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/136588101300304034 En ligne : https://doi.org/10.1080/136588101300304034 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21742 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Artificial neural networks as a tool for spatial interpolation / J.P. Rigol in International journal of geographical information science IJGIS, vol 15 n° 4 (june 2001)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 15 n° 4 (june 2001) . - pp 323 - 343 Titre : Artificial neural networks as a tool for spatial interpolation Type de document : Article/Communication Auteurs : J.P. Rigol, Auteur ; C.H. Jarvis, Auteur ; N. Stuart, Auteur Année de publication : 2001 Article en page(s) : pp 323 - 343 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] covariance [Termes IGN] interpolation [Termes IGN] krigeage [Termes IGN] modèle de simulation [Termes IGN] prédiction [Termes IGN] réseau neuronal artificiel [Termes IGN] température de l'air Résumé : (Auteur) This paper describes the spatial interpolation of daily minimum air temperature using a feedforward backpropagation neural network. Simple network configurations were trained to predict minimum temperature using as inputs: (1) date and terrain variables; (2) temperature observations at a number of neighbouring locations; (3) date, terrain variables and neighbouring temperature observations. This is the first time that trend and spatial association are explicitly considered together when interpolating using a neural network. The internal weights given to different inputs to the network were analysed to estimate the degree of spatial correlation between neighbouring stations in addition to the most influential variables contributing to the underlying trend. The spatial distribution of daily minimum temperature was estimated with the greatest accuracy by a network trained on the most comprehensive data set (3). The best model for the prediction of temperature accounts for 93% of the variance, measured by the correlation between independent estimated and observed values over a full year. This is comparable to accuracies reported in the literature using other approaches such as ordinary kriging of the residuals of multi-variate linear regression or partial thin plate splines. An advantage of this method is that the guiding variables are not assumed necessarily to be linearly related with the data being interpolated, and combinative effects are taken into account. Analysis of the internal network weights confirms that the networks are able to select adaptively between trend and covariance components of the interpolation function. Example interpolated daily minimum temperature surfaces for a 100 km x 100 km area in Yorkshire, UK, were generated using the selected network architectures to illustrate the results achievable with an ANN. Numéro de notice : A2001-041 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810110038951 En ligne : https://doi.org/10.1080/13658810110038951 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21743 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Development of daily spatial heat unit mapping from monthly climatic surfaces for the Australian continent / Nicholas C. Coops in International journal of geographical information science IJGIS, vol 15 n° 4 (june 2001)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 15 n° 4 (june 2001) . - pp 345 - 361 Titre : Development of daily spatial heat unit mapping from monthly climatic surfaces for the Australian continent Type de document : Article/Communication Auteurs : Nicholas C. Coops, Auteur ; A. Loughhead, Auteur ; P. Ryan, Auteur ; R. Hutton, Auteur Année de publication : 2001 Article en page(s) : pp 345 - 361 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] analyse spatiale [Termes IGN] Australie [Termes IGN] Citrus sinensis [Termes IGN] climat aride [Termes IGN] seuillage d'image [Termes IGN] système d'information géographique [Termes IGN] température de l'air Résumé : (Auteur) In absence of other limitations, the growth rate of a plant is dependent upon the amount of heat it receives. Each species, whether a crop, weed or disease organism, is adapted to grow at its optimum rate within a specific temperature range. Within this range, the growing degree days (GDD) is the heat accumulation above a given base temperature for a specific time period, such as a crop's growing season or phenological stage. In this paper we detail a methodology to predict GDD for synthetically generated average growing seasons derived from long term average climate data over the Australian continent. An application of these techniques has been made using the GEODATA 9 second DEM, with temperature threshold values estimated to characterize optimum growth in citrus (Citrus sinensis (L) Osbeek). Three major determinants of the annual growth cycle of Citrus sp. were established and predicted on a spatial basis including the starting day of the growing season, the GDD for a growing season, and the time required to accumulate an arbitrarily selected 2000 GDD from the estimated starting day. When these critical environmental factors are expressed on a spatial basis, covering the Australian continent, the combination can be used to identify locations where new crop varieties can most effectively be grown to maximize fruit quality and productivity, or to extend the harvest season. Likewise, new germplasm introduced to Australia from overseas can be horticulturally assessed at sites climatically matched to the source location. Numéro de notice : A2001-042 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810010011401 En ligne : https://doi.org/10.1080/13658810010011401 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21744 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A distributed spatial architecture for bush fire simulation / P. Eklund in International journal of geographical information science IJGIS, vol 15 n° 4 (june 2001)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 15 n° 4 (june 2001) . - pp 363 - 378 Titre : A distributed spatial architecture for bush fire simulation Type de document : Article/Communication Auteurs : P. Eklund, Auteur Année de publication : 2001 Article en page(s) : pp 363 - 378 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] base de données répartie [Termes IGN] incendie de forêt [Termes IGN] modèle conceptuel de données [Termes IGN] ondelette [Termes IGN] risque naturel [Termes IGN] secours d'urgence [Termes IGN] simulation [Termes IGN] système d'information géographique [Termes IGN] toile d'araignée mondiale Résumé : (Auteur) This paper describes a spatial systems architecture allowing clients to modify parameters and run their own bush fire simulations via map data provided by a Web server. The simulations conform to the model of bush fire behaviours as well as operational requiremnts. A wavelet model and fire simulation over a distributed network are considered in this paper and we demonstrate how the architecture is general enough to accomodate other spatial simulations for emergency management using the Web. Numéro de notice : A2001-043 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810010017883 En ligne : https://doi.org/10.1080/13658810010017883 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21745 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-01041	RAB	Revue	Centre de documentation	En réserve L003	Disponible