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Abstracting geographic information in a data rich world, ch. 7. Process modelling, web services and geoprocessing / Nicolas Regnauld (2014)
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Titre de série : Abstracting geographic information in a data rich world, ch. 7 Titre : Process modelling, web services and geoprocessing Type de document : Chapitre/Contribution Auteurs : Nicolas Regnauld , Auteur ; Guillaume Touya
, Auteur ; Nick Gould, Auteur ; Theodor Foerster, Auteur
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : pp 198 - 225 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] complexité
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] modélisation de processus
[Termes IGN] service web géographiqueMots-clés libres : orchestration web-service Résumé : (auteur) Process modelling has always been an important part of research in generalisation. In the early days this would take the form of a static sequence of generalisation actions, but currently the focus is on modelling much more complex processes, capable of generalising geographic data into various maps according to specific user requirements. To channel the growing complexity of the processes required, better process models had to be developed. This chapter discusses several aspects of the problem of building such systems. As the system gets more complex, it becomes important to be able to reuse components which already exist. Web services have been used to encapsulate generalisation processes in a way that maximises their interoperability and therefore reusability. However, for a system to discover and trigger such a service, it needs to be formalised and described in a machine understandable way, and the system needs to have the knowledge about where and when to use such tools. This chapter therefore explores the requirements and potential approaches to the design and building of such systems. Numéro de notice : H2014-016 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-3-319-00203-3_7 Date de publication en ligne : 01/04/2014 En ligne : http://dx.doi.org/10.1007/978-3-319-00203-3_7 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78572
Titre : Abstracting geographic information in a data rich world : Methodologies and applications of map generalisation Type de document : Monographie Auteurs : Dirk Burghardt, Éditeur scientifique ; Cécile Duchêne , Éditeur scientifique ; William A Mackaness, Éditeur scientifique
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Importance : 408 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-319-00202-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation cartographique automatisée
[Termes IGN] généralisation de base de données
[Termes IGN] intégration de données
[Termes IGN] spécification de contenu
[Termes IGN] structure de données localisées
[Termes IGN] système d'information géographique
[Vedettes matières IGN] GénéralisationRésumé : (Editeur) Research in the field of automated generalisation has faced new challenges in recent years as a result of technological developments in web-based processing, new visualisation paradigms and access to very large volumes of multi-source data generated by sensors and humans. In these contexts, map generalisation needs to underpin ‘on-demand mapping’, a form of mapping that responds to individual user requirements in the thematic selection and visualisation of geographic information. It is this new impetus that drives the research of the ICA Commission on Generalisation and Multiple Representation (for example through its annual workshops, biannual tutorials and publications in international journals). This book has a coherent structure, each chapter focusing on core concepts and tasks in the map generalisation towards on-demand mapping. Each chapter presents a state-of-the-art review, together with case studies that illustrate the application of pertinent generalisation methodologies. The book addresses issues from data gathering to multi scaled outputs. Thus there are chapters devoted to defining user requirements in handling specifications, and in the application and evaluation of map generalisation algorithms. It explores the application of generalisation methodologies in the context of growing volumes of data and the increasing popularity of user generated content. Note de contenu : 1. Map Generalisation: Fundamental to the Modelling and Understanding of Geographic Space.
2. Map Specifications and User Requirements.
3. Modelling Geographic Relationships in Automated Environments
4. Data Structures for Continuous Generalisation: tGAP and SSC.
5. Integrating and Generalising Volunteered Geographic Information
6. Generalisation Operators
7. Process Modelling, Web Services and Geoprocessing.
8. Terrain Generalisation.
9. Evaluation in Generalisation
10. Generalisation in the Context of Schematised Maps
11. Generalisation in Practice Within National Mapping Agencies
12. Conclusion: Major Achievements and Research Challenges in GeneralisationNuméro de notice : 22152 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif nature-HAL : DirectOuvrColl/Actes DOI : 10.1007/978-3-319-00203-3 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73835 Contient
- Abstracting geographic information in a data rich world, ch. 1. Map generalisation: fundamental to the modelling and understanding of geographic space / William A Mackaness (2014)
- Abstracting geographic information in a data rich world, ch. 2. Map specifications and user requirements / Sandrine Balley (2014)
- Abstracting geographic information in a data rich world, ch. 3. Modelling geographic relationships in automated environments / Guillaume Touya (2014)
- Abstracting geographic information in a data rich world, ch. 7. Process modelling, web services and geoprocessing / Nicolas Regnauld (2014)
- Abstracting geographic information in a data rich world, ch. 11. Generalisation in practice within national mapping agencies / Cécile Duchêne (2014)
- Abstracting geographic information in a data rich world, ch. 12. Conclusion: major achievements and research challenges in generalisation / Dirk Burghardt (2014)
Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 22152-01 37.10 Livre Centre de documentation Géomatique Disponible 22152-02 37.10 Livre Centre de documentation Géomatique Disponible
Titre : Accurate gravimetry at the BIPM watt balance site Type de document : Article/Communication Auteurs : Z. Jiang, Auteur ; Vojtech Pálinkáš, Auteur ; Olivier Francis, Auteur ; S. Merlet, Auteur ; Henri Baumann, Auteur ; Matthias Becker, Auteur ; Philippe Jousset, Auteur ; J. Makinen, Auteur ; H.R. Schulz, Auteur ; K.U. Kessler-Schulz, Auteur ; S. Svitlov, Auteur ; Alain Coulomb , Auteur ; L. Tisserand, Auteur ; H. Hu, Auteur ; Ch. Rothleitner, Auteur
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Conférence : IAG 2011, General Assembly 28/06/2011 02/07/2011 Melbourne Australie Proceedings Springer Importance : pp 371 - 376 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] gravimètre
[Termes IGN] gravimètre absolu
[Termes IGN] gravimétrie
[Termes IGN] métrologieRésumé : (auteur) Accurate gravity measurements were made to support the International Bureau of Weights and Measures (BIPM) watt balance (WB) project in association with the eighth International Comparison of Absolute Gravimeters (ICAG-2009) and the accompanying Relative Gravity Campaign (RGC-2009) at the BIPM in 2009. The goal of WB project is to determine the Planck constant h for the realization of a new definition of the kilogram. The accurate value of free fall acceleration g is crucial for the precise determination of h. During the formal ICAG-2009 and the RGC-2009, four absolute and six relative gravimeters took part in the WB gravity campaign. The results can therefore be converted to the international reference of the ICAG results, i.e., they are SI-traceable. The WB gravity network is a regular 3D grid over the site in the WB laboratory that serves to evaluate gravity acceleration at the test mass centre of the future WB setup. The local Earth tide parameters were determined by analyzing a 6 months record of a gPhone spring-type gravimeter. These parameters, together with the atmospheric and polar motion corrections, enable precise prediction of the instantaneous values of the acceleration of free fall required by the WB experiment with an accuracy reaching 5 μGal. In addition, repeated precise levelling has been carried out to monitor the stability of the WB pillar. Numéro de notice : C2011-092 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : POSITIONNEMENT Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-642-37222-3_49 Date de publication en ligne : 06/10/2013 En ligne : http://dx.doi.org/10.1007/978-3-642-37222-3_49 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102738
contenu dans Geographic Information Science, 8th International Conference, GIScience 2014, Vienna Austria, September 24-26, 2014 / Matt Duckham (2014)
Titre : Automatic itinerary reconstruction from texts Type de document : Article/Communication Auteurs : Ludovic Moncla , Auteur ; Mauro Gaio, Auteur ; Sébastien Mustière
, Auteur
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 8728 Conférence : GIScience 2014, 8th international conference on geographic information science 23/09/2014 26/09/2014 Vienne Autriche Proceedings Springer Importance : pp 253 - 267 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] algorithme STA
[Termes IGN] calcul d'itinéraire
[Termes IGN] itinéraire
[Termes IGN] langage naturel (informatique)
[Termes IGN] traitement du langage naturelRésumé : (auteur) This paper proposes an approach for the reconstruction of itineraries extracted from narrative texts. This approach is divided into two main tasks. The first extracts geographical information with natural language processing. Its outputs are annotations of so called expanded entities and expressions of displacement or perception from hiking descriptions. In order to reconstruct a plausible footprint of an itinerary described in the text, the second task uses the outputs of the first task to compute a minimum spanning tree. Numéro de notice : C2014-004 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-319-11593-1_17 En ligne : http://dx.doi.org/10.1007/978-3-319-11593-1_17 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78475
Titre : Bayesian essentials with R Type de document : Monographie Auteurs : Jean-Michel Marin, Auteur ; Christian P. Robert, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Importance : 296 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-4614-8687-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] algorithme de Métropolis-Hastings
[Termes IGN] classification bayesienne
[Termes IGN] échantillonnage de Gibbs
[Termes IGN] méthode de Monte-Carlo par chaînes de Markov
[Termes IGN] modèle linéaire
[Termes IGN] problème de Dirichlet
[Termes IGN] R (langage)
[Termes IGN] régression linéaire
[Termes IGN] série temporelle
[Termes IGN] théorème de BayesRésumé : (éditeur) This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. The stakes are high and the reader determines the outcome. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. This works in conjunction with the bayess package. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels, as exemplified by courses given at Université Paris Dauphine (France), University of Canterbury (New Zealand), and University of British Columbia (Canada). It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics. A strength of the text is the noteworthy emphasis on the role of models in statistical analysis. Note de contenu : 1- User’s Manual
2- Normal Models
3- Regression and Variable Selection
4- Generalized Linear Models
5- Capture–Recapture Experiments
6- Mixture Models
7- Time Series
8- Image AnalysisNuméro de notice : 25759 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie En ligne : https://link.springer.com/book/10.1007%2F978-1-4614-8687-9#toc Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94954 DORIS tropospheric estimation at IGN : Current strategies, GPS intercomparisons and perspectives / Pascal Willis (2014)
PermalinkPermalinkEUREF’s contribution to national, European and global geodetic infrastructures / Johannes Ihde (2014)
PermalinkExploring the impact of a spatial data infrastructure on value-added resellers and vice versa / Anthony K. Cooper (2014)
PermalinkExternal evaluation of the Terrestrial Reference Frame: report of the task force of the IAG sub-commission 1.2 / Xavier Collilieux (2014)
PermalinkPermalinkGeographic Information Science, 8th International Conference, GIScience 2014, Vienna Austria, September 24-26, 2014 / Matt Duckham (2014)
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