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An algorithm for localised contour removal over steep terrain / William A Mackaness in Cartographic journal (the), vol 43 n° 2 (July 2006)  

Public [article]  inCartographic journal (the) > vol 43 n° 2 (July 2006) . - pp 144 - 156 Titre : An algorithm for localised contour removal over steep terrain Type de document : Article/Communication Auteurs : William A Mackaness, Auteur ; M. Steven, Auteur Année de publication : 2006 Article en page(s) : pp 144 - 156 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique [Termes IGN] courbe de niveau [Termes IGN] isoligne [Termes IGN] modèle numérique de surface [Termes IGN] représentation du relief Résumé : (Auteur) Isolines have proved to be a highly effective way of conveying the shape of a surface (most commonly in the form of height contours to convey geographical landscape). Selecting the right contour interval is a compromise between showing sufficient detail in flat regions, whilst avoiding excessive crowding of lines in steep and morphologically complex areas. The traditional way of avoiding coalescence and confusion across steep regions has been to manually remove short sections of intermediate contours, while retaining index contours. Incorporating humans in automated environments is not viable. This research reports on the design, implementation and evaluation of an automated solution to this problem involving the automatic identification of coalescing lines, and removal of line segments to ensure clarity in the interpretation of contour information. Evaluation was made by subjective comparison with Ordnance Survey products. The results were found to be very close to the quality associated with manual techniques. Copyright British Cartographic Society Numéro de notice : A2006-609 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870406X114630 En ligne : https://doi.org/10.1179/000870406X114630 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28332 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
030-06021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Effect of generalization on area features: a comparative study of two strategies / T. Cheng in Cartographic journal (the), vol 43 n° 2 (July 2006)  

Public [article]  inCartographic journal (the) > vol 43 n° 2 (July 2006) . - pp 157 - 170 Titre : Effect of generalization on area features: a comparative study of two strategies Type de document : Article/Communication Auteurs : T. Cheng, Auteur ; Z. Li, Auteur Année de publication : 2006 Article en page(s) : pp 157 - 170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agrégation de détails [Termes IGN] analyse comparative [Termes IGN] carte thématique [Termes IGN] fusion de données [Termes IGN] généralisation cartographique automatisée [Termes IGN] mesure de la qualité [Termes IGN] objet géographique zonal [Termes IGN] qualité des données [Vedettes matières IGN] Généralisation Résumé : (Auteur) The generalization of area features is a very important topic in digital map generalization, particularly in thematic map generalization. The operations used in area generalization, will cause changes in the geometry and thematic attributes of area features and the topological relationships between them. Very limited quantitative measures, especially for semantics, are available to describe the effect of generalization when multiple objects are involved or when the entire map needs to be characterized. Therefore, the aim of this study is to provide some quantitative measures for the changes (especially in semantics) that have occurred during generalization. A set of quantitative measures of data quality, i.e. accuracy, consistency, and completeness, has been developed to assess such effects. The effect of generalization on area features are compared between two approaches, geometry-based merging and theme-based aggregation. An experimental test has also been carried out to illustrate their differences in terms of the proposed quality measures, which demonstrates the practical usefulness of these measures. Numéro de notice : A2006-610 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870406X114649 En ligne : https://doi.org/10.1179/000870406X114649 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28333 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
030-06021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Mapping the results of geographically weighted regression / J. Mennis in Cartographic journal (the), vol 43 n° 2 (July 2006)  

Public [article]  inCartographic journal (the) > vol 43 n° 2 (July 2006) . - pp 171 - 179 Titre : Mapping the results of geographically weighted regression Type de document : Article/Communication Auteurs : J. Mennis, Auteur Année de publication : 2006 Article en page(s) : pp 171 - 179 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse bivariée [Termes IGN] carte choroplèthe [Termes IGN] densité de population [Termes IGN] distribution spatiale [Termes IGN] Pennsylvanie (Etats-Unis) [Termes IGN] régression géographiquement pondérée Résumé : (Auteur) Geographically weighted regression (GWR) is a local spatial statistical technique for exploring spatial nonstationarity. Previous approaches to mapping the results of GWR have primarily employed an equal step classification and sequential no-hue colour scheme for choropleth mapping of parameter estimates. This cartographic approach may hinder the exploration of spatial nonstationarity by inadequately illustrating the spatial distribution of the sign, magnitude, and significance of the influence of each explanatory variable on the dependent variable. Approaches for improving mapping of the results of GWR are illustrated using a case study analysis of population density-median home value relationships in Philadelphia, Pennsylvania, USA. These approaches employ data classification schemes informed by the (nonspatial) data distribution, diverging colour schemes, and bivariate choropleth mapping. Copyright British Cartographic Society Numéro de notice : A2006-611 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/000870406X114658 En ligne : https://doi.org/10.1179/000870406X114658 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28334 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
030-06021	RAB	Revue	Centre de documentation	En réserve L003	Disponible