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Positioning localities based on spatial assertions / Y. Liu in International journal of geographical information science IJGIS, vol 23 n°11-12 (november 2009)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 23 n°11-12 (november 2009) . - pp 1471 - 1501 Titre : Positioning localities based on spatial assertions Type de document : Article/Communication Auteurs : Y. Liu, Auteur ; Q. Guo, Auteur ; J. Wieczorek, Auteur ; Michael F. Goodchild, Auteur Année de publication : 2009 Article en page(s) : pp 1471 - 1501 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] géopositionnement [Termes IGN] incertitude de position [Termes IGN] modèle conceptuel de données [Termes IGN] probabilités [Termes IGN] raisonnement spatial [Termes IGN] relation spatiale [Termes IGN] segmentation sémantique [Termes IGN] système d'information géographique Résumé : (Auteur) In practice, descriptive localities are often communicated using named places and spatial relationships. Uncertainty associated with such descriptions of localities is inevitable, and knowledge of such uncertainty is normally not explicit. When translating descriptive localities into spatially explicit ones, it is critical to circumscribe locations and to estimate the associated uncertainty based on a set of appropriate spatial relationships. In conventional research on qualitative spatial reasoning (QSR), spatial relationships are modeled using formal logic. Unfortunately, QSR cannot deal with the uncertainty of a position. In this paper, based on the conceptual model of spatial assertions, we introduce the uncertainty field model to represent the probability distribution of a point locality. Using probability operations, we can combine a set of assertions to position a locality. Conflicts among assertions for a single locality can be detected based on the resulting field. Since spatial relationships play an important role in the uncertainty of target objects, we investigate conceptually the uncertainty fields associated with various types of spatial relationships (for example, topological, directional and metric). In a concrete application, these uncertainty fields can be customized and used without altering the proposed framework. Copyright Taylor & Francis Numéro de notice : A2009-517 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810802247114 En ligne : https://doi.org/10.1080/13658810802247114 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30146 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-09071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-09072	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach / Q. Guo in International journal of geographical information science IJGIS, vol 22 n° 10 (october 2008)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 22 n° 10 (october 2008) . - pp 1067 - 1090 Titre : Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach Type de document : Article/Communication Auteurs : Q. Guo, Auteur ; Y. Liu, Auteur ; J. Wieczorek, Auteur Année de publication : 2008 Article en page(s) : pp 1067 - 1090 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] distribution, loi de [Termes IGN] géocodage [Termes IGN] incertitude géométrique [Termes IGN] modèle d'incertitude [Termes IGN] objet géographique [Termes IGN] relation spatiale [Termes IGN] système d'information géographique Résumé : (Auteur) Locality information for specimens of geological, biological, and cultural objects is traditionally stored as textual descriptions. With an increasing demand for natural and cultural information, the lack of spatially explicit descriptions has become a major barrier to the management and analysis of these data using geographic information systems. In this paper, we propose a method to georeference descriptive data, using an uncertainty field model to represent the distribution of a locality based on two types of uncertainties: uncertainty of reference objects, and the uncertainty of spatial relationships. We propose probability distributions for each known form of these two types of uncertainties and present a probabilistic method to georeference localities based on the integration of different uncertainty sources. Copyright Taylor & Francis Numéro de notice : A2008-354 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701851420 En ligne : https://doi.org/10.1080/13658810701851420 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29347 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-08061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-08062	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The point-radius method for georeferencing locality descriptions and calculating associated uncertainty / J. Wieczorek in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 8 (december 2004) . - pp 745 - 767 Titre : The point-radius method for georeferencing locality descriptions and calculating associated uncertainty Type de document : Article/Communication Auteurs : J. Wieczorek, Auteur ; Q. Guo, Auteur ; R.J. Hijmans, Auteur Année de publication : 2004 Article en page(s) : pp 745 - 767 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] collection [Termes IGN] erreur de positionnement [Termes IGN] géocodage [Termes IGN] imprécision des données [Termes IGN] musée [Termes IGN] objet Résumé : (Auteur) Natural history museums store millions of specimens of geological, biological, and cultural entities. Data related to these objects are in increasing demand for investigations of biodiversity and its relationship to the environment and anthropogenic disturbance. A major barrier to the use of these data in GIS is that collecting localities have typically been recorded as textual descriptions, without geographic coordinates. We describe a method for georeferencing locality descriptions that accounts for the idiosyncrasies, sources of uncertainty, and practical maintenance requirements encountered when working with natural history collections. Each locality is described as a circle, with a point to mark the position most closely described by the locality description, and a radius to describe the maximum distance from that point within which the locality is expected to occur. The calculation of the radius takes into account aspects of the precision and specificity of the locality description, as well as the map scale, datum, precision and accuracy of the sources used to determine coordinates. This method minimizes the subjectivity involved in the georeferencing process. The resulting georeferences are consistent, reproducible, and allow for the use of uncertainty in analyses that use these data. Numéro de notice : A2004-482 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810412331280211 En ligne : https://doi.org/10.1080/13658810412331280211 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27000 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-04081	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-04082	RAB	Revue	Centre de documentation	En réserve L003	Disponible