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Titre : Generalisation and data quality Type de document : Article/Communication Auteurs : Nicolas Regnauld , Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2015 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 40-3/W3 Conférence : ISPRS 2015, Geospatial Week : Laserscanning, ISSDQ, CMRT, ISA, GeoVIS, GeoBigData 28/09/2015 03/10/2015 La Grande Motte France ISPRS OA Archives Importance : pp 91 - 94 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation automatique de données
[Termes IGN] qualité des données
[Termes IGN] utilisateur
[Vedettes matières IGN] GénéralisationRésumé : (auteur) The quality of spatial data has a massive impact on its usability. It is therefore critical to both the producer of the data and its users. In this paper we discuss the close links between data quality and the generalisation process. The quality of the source data has an effect on how it can be generalised, and the generalisation process has an effect on the quality of the output data. Data quality therefore needs to be kept under control. We explain how this can be done before, during and after the generalisation process, using three of 1Spatial’s software products: 1Validate for assessing the conformance of a dataset against a set of rules, 1Integrate for automatically fixing the data when non-conformances have been detected and 1Generalise for controlling the quality during the generalisation process. These tools are very effective at managing data that need to conform to a set of quality rules, the main remaining challenge is to be able to define a set of quality rules that reflects the fitness of a dataset for a particular purpose. Numéro de notice : C2015-003 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XL-3-W3-91-2015 Date de publication en ligne : 19/08/2015 En ligne : http://dx.doi.org/10.5194/isprsarchives-XL-3-W3-91-2015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83520
Titre : Lessons learned from research on multimedia summarization Type de document : Article/Communication Auteurs : Guillaume Touya , Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2015 Conférence : ICA 2015, 18th workshop, Commission on Generalisation and Multiple Representation 21/08/2015 03/10/2015 Rio de Janeiro Brésil open access proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation automatique de données
[Vedettes matières IGN] GénéralisationMots-clés libres : benchmark evaluation learning summarization Résumé : (auteur) [introduction] Map generalization is often considered as a cognitive task similar to text summary. Like text summary, generalization seeks to reduce the level of detail of initial data, highlighting the important features regarding a given need, and preserving the main characteristics of the initial data (Ruas 2002). The automation of text summarization is key research topic for language processing scientists, and it should be interesting to verify if the similarities in the human cognitive process lead to similarities in the automation techniques. Moreover, text summarization is a part of the multimedia summarization problem that also includes video and music summarization, and this complete literature is interesting to review. The aim of the paper is also to identify some guidelines for further map generalization research that can be derived from the multimedia summarization research community. This paper first identifies similarities and differences in both automation problems. Then, section 3 proposes ideas from multimedia summarization that could be beneficial for the map generalization community. Finally, the paper is concluded with some ideas for further research opportunities. Numéro de notice : C2015-037 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://generalisation.icaci.org/index.php/prevevents/11-previous-events-details/ [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83249 Documents numériques
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Lessons learned - slidesAdobe Acrobat PDF en open access
Lessons learned - texteAdobe Acrobat PDF The fractal nature of maps and mapping / Bin Jiang in International journal of geographical information science IJGIS, vol 29 n° 1 (January 2015)
[article]
Titre : The fractal nature of maps and mapping Type de document : Article/Communication Auteurs : Bin Jiang, Auteur Année de publication : 2015 Article en page(s) : pp 159 - 174 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] cartographie statistique
[Termes IGN] échelle cartographique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] objet fractal
[Vedettes matières IGN] CartologieRésumé : (Auteur) A fractal can be simply understood as a set or pattern in which there are far more small things than large ones, for example, far more small geographic features than large ones on the earth surface, or far more large-scale maps than small-scale maps for a geographic region. This article attempts to argue and provide evidence for the fractal nature of maps and mapping. It is the underlying fractal structure of geographic features, either natural or man-made, that make reality mappable, large-scale maps generalizable, and cities imageable. The fractal nature is also what underlies the beauty of maps. After introducing some key fractal concepts such as recursion, self-similarity, scaling ratio, and scaling exponent, this article demonstrates that fractal thought is rooted in long-standing map-making practices such as series maps subdivision, visual hierarchy, and Töpfer’s radical law. Drawing on previous studies on head/tail breaks, mapping can be considered a head/tail breaks process; that is to divide things around an average, according to their geometric, topological and/or semantic properties, into the head (for those above the average) and the tail (for those below the average), and recursively continue the dividing process for the head for map generalization, statistical mapping, and cognitive mapping. Given the fractal nature of maps and mapping, cartography should be considered a perfect combination of science and art, and scaling must be formulated as a law of cartography or that of geography in general. Numéro de notice : A2015-576 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.953165 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.953165 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77838
in International journal of geographical information science IJGIS > vol 29 n° 1 (January 2015) . - pp 159 - 174[article]Characterisation of building alignments with new measures using C4.5 decision tree algorithm / Sinan Cetinkaya in Geodetski vestnik, vol 58 n° 3 ([01/09/2014])
[article]
Titre : Characterisation of building alignments with new measures using C4.5 decision tree algorithm Type de document : Article/Communication Auteurs : Sinan Cetinkaya, Auteur ; Melih Basaraner, Auteur Année de publication : 2014 Article en page(s) : pp 552 - 567 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] alignement
[Termes IGN] arbre de décision
[Termes IGN] bati
[Termes IGN] caractérisation
[Termes IGN] classification dirigée
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] régression
[Termes IGN] triangulation de DelaunayRésumé : (auteur) Detection and characterisation of spatial patterns is crucial for cartographic generalisation since it entails preserving the patterns as much as possible within scale limits. Building alignments are commonly confronted patterns in the topographic maps/databases. They are perceptually recognised in accordance with relevant Gestalt factors, namely proximity, similarity, common orientation and continuity. This study is concentrated on how to characterise building alignments detected by automated or manual methods. To this end, new measures based on Delaunay triangulation and regression line/curve are established to correspond to the Gestalt factors. The relationship between the measures and Gestalt principles has been illustrated with a decision tree. An index value was computed by total sum of measures’ values to compare and order alignments from quality aspect. Additionally, a supervised classification was performed with C4.5 algorithm thus a decision tree was obtained to be able to both associate the quality categories with the measure values and automatically assign alignments into a quality class. The findings demonstrate that proposed measures are substantially effective for representing Gestalt factors. The proposed methods can potentially enhance and ease the characterisation of building alignments in topographic map generalization. Numéro de notice : A2014-560 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.15292/geodetski-vestnik.2014.03.552-567 En ligne : http://dx.doi.org/10.15292/geodetski-vestnik.2014.03.552-567 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74701
in Geodetski vestnik > vol 58 n° 3 [01/09/2014] . - pp 552 - 567[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 139-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Road network selection for medium scales using an extended stroke-mesh combination algorithm / Stefan A. Benz in Cartography and Geographic Information Science, vol 41 n° 4 (September 2014)
[article]
Titre : Road network selection for medium scales using an extended stroke-mesh combination algorithm Type de document : Article/Communication Auteurs : Stefan A. Benz, Auteur ; Robert Weibel, Auteur Année de publication : 2014 Article en page(s) : pp 323 - 339 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] 1:10.000
[Termes IGN] 1:50.000
[Termes IGN] chaîne de production
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] maillage
[Termes IGN] point d'intérêt
[Termes IGN] réseau routier
[Termes IGN] SwisstopoRésumé : (auteur) The road network is an essential feature class in topographic maps and databases. Road network selection for smaller scales forms a prerequisite for all other generalization operators and is thus a fundamental operation in the overall process of topographic map and database production. The objective of this paper was to develop an algorithm for automated road network selection from a large-scale (1:10,000) to a medium-scale database (1:50,000). The project was pursued in collaboration with swisstopo, the national mapping agency of Switzerland. Three algorithms (a stroke-based, a mesh-based, and a combined stroke-mesh algorithm) were implemented from the literature and analyzed using swisstopo’s large-scale TLM3D spatial database, with requirements set forth by expert cartographers. Initial experiments showed that the combination algorithm performed best, yet still it could not meet all requirements. Therefore, extensions to the basic stroke-mesh algorithm were developed, significantly improving the selection result with real-world, large test databases. Three extensions introduce modifications to the stroke-mesh combination algorithm. Furthermore, two extensions include external feature classes, ensuring accessibility of points of interest and appropriate network density representation in settlement areas, respectively. The results were evaluated by expert cartographers, who concluded that the proposed approach is ready to be deployed in production at swisstopo. Numéro de notice : A2014-428 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2014.928482 En ligne : https://doi.org/10.1080/15230406.2014.928482 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73965
in Cartography and Geographic Information Science > vol 41 n° 4 (September 2014) . - pp 323 - 339[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Step by step / Mary Lou Von Wyl in GEO: Geoconnexion international, vol 13 n° 7 (July 2014)PermalinkUrban structure generalization in multi-agent process by use of reactional agents / Jérémy Renard in Transactions in GIS, vol 18 n° 2 (April 2014)PermalinkUse of artificial neural networks for selective omission in updating road networks / Qi Zhou in Cartographic journal (the), vol 51 n° 1 (February 2014)PermalinkPermalinkAbstracting geographic information in a data rich world, ch. 1. Map generalisation: fundamental to the modelling and understanding of geographic space / William A Mackaness (2014)PermalinkAbstracting geographic information in a data rich world, ch. 11. Generalisation in practice within national mapping agencies / Cécile Duchêne (2014)PermalinkAbstracting geographic information in a data rich world, ch. 12. Conclusion: major achievements and research challenges in generalisation / Dirk Burghardt (2014)PermalinkAbstracting geographic information in a data rich world, ch. 2. Map specifications and user requirements / Sandrine Balley (2014)PermalinkAbstracting geographic information in a data rich world, ch. 3. Modelling geographic relationships in automated environments / Guillaume Touya (2014)PermalinkAbstracting geographic information in a data rich world, ch. 7. Process modelling, web services and geoprocessing / Nicolas Regnauld (2014)PermalinkAbstracting geographic information in a data rich world / Dirk Burghardt (2014)PermalinkPermalinkPermalinkFully automated generalization of a 1:50k map from 1:10k data / Jantien E. Stoter in Cartography and Geographic Information Science, vol 41 n° 1 (January 2014)PermalinkPermalinkIndividual road generalisation in the 1997-2000 AGENT European project / Cécile Duchêne (August 2014)PermalinkPermalinkRepresentation of interactions in a multi-level multi-agent model for cartography constraint solving / Adrien Maudet (2014)PermalinkA method to generalize stream flowlines in small-scale maps by a variable flow-based pruning threshold / Michael Tinker in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)PermalinkScale-specific automated line simplification by vertex clustering on a hexagonal tessellation / Paulo Raposo in Cartography and Geographic Information Science, vol 40 n° 5 (November 2013)Permalink