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Using OpenStreetMap data and machine learning to generate socio-economic indicators / Daniel Feldmeyer in ISPRS International journal of geo-information, vol 9 n° 9 (September 2020)
Titre : Using OpenStreetMap data and machine learning to generate socio-economic indicators Type de document : Article/Communication Auteurs : Daniel Feldmeyer, Auteur ; Claude Meisch, Auteur ; Holger Sauter, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 16 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] Allemagne
[Termes IGN] apprentissage automatique
[Termes IGN] arbre aléatoire
[Termes IGN] base de données spatiotemporelles
[Termes IGN] changement climatique
[Termes IGN] chômage
[Termes IGN] classification par réseau neuronal
[Termes IGN] collectivité territoriale
[Termes IGN] données localisées des bénévoles
[Termes IGN] données socio-économiques
[Termes IGN] inégalité
[Termes IGN] limite administrative
[Termes IGN] modèle de régression
[Termes IGN] modèle de simulation
[Termes IGN] OpenStreetMapRésumé : (auteur) Socio-economic indicators are key to understanding societal challenges. They disassemble complex phenomena to gain insights and deepen understanding. Specific subsets of indicators have been developed to describe sustainability, human development, vulnerability, risk, resilience and climate change adaptation. Nonetheless, insufficient quality and availability of data often limit their explanatory power. Spatial and temporal resolution are often not at a scale appropriate for monitoring. Socio-economic indicators are mostly provided by governmental institutions and are therefore limited to administrative boundaries. Furthermore, different methodological computation approaches for the same indicator impair comparability between countries and regions. OpenStreetMap (OSM) provides an unparalleled standardized global database with a high spatiotemporal resolution. Surprisingly, the potential of OSM seems largely unexplored in this context. In this study, we used machine learning to predict four exemplary socio-economic indicators for municipalities based on OSM. By comparing the predictive power of neural networks to statistical regression models, we evaluated the unhinged resources of OSM for indicator development. OSM provides prospects for monitoring across administrative boundaries, interdisciplinary topics, and semi-quantitative factors like social cohesion. Further research is still required to, for example, determine the impact of regional and international differences in user contributions on the outputs. Nonetheless, this database can provide meaningful insight into otherwise unknown spatial differences in social, environmental or economic inequalities. Numéro de notice : A2020-663 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9090498 Date de publication en ligne : 21/08/2020 En ligne : https://doi.org/10.3390/ijgi9090498 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96139
in ISPRS International journal of geo-information > vol 9 n° 9 (September 2020) . - 16 p.[article]
Titre : Création d’une base de connaissances sur les redécoupages administratifs durant la Révolution française : l’exemple des paroisses constitutionnelles Type de document : Article/Communication Auteurs : Antoine Keller, Auteur ; Nathalie Abadie Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2019 Conférence : CHEC 2019, Séminaire Atlas historique 24/01/2019 24/01/2019 Clermont-Ferrand France programme, Journées Recherche de l'IGN 2019, 28es Journées 18/04/2019 19/04/2019 Champs-sur-Marne France Open Access Abstracts Format : 21 x 30 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de connaissances
[Termes IGN] limite administrative
[Termes IGN] paroisse
[Termes IGN] révolution françaiseNuméro de notice : C2019-024 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Autre URL associée : vers HAL/vers la vidéo Thématique : GEOMATIQUE Nature : Conférence invitée nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : https://hal.science/hal-02388075v1 Format de la ressource électronique : URL Vidéo Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94301
Titre : Depicting urban boundaries from a mobility network of spatial interactions : a case study of Great Britain with geo-located Twitter data Type de document : Article/Communication Auteurs : Junjun Yin, Auteur ; Aiman Soliman, Auteur ; Dandong Yin, Auteur ; Shaowen Wang, Auteur Année de publication : 2017 Article en page(s) : pp 1293 - 1313 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] comportement
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données socio-économiques
[Termes IGN] géographie humaine
[Termes IGN] Grande-Bretagne
[Termes IGN] interaction humain-espace
[Termes IGN] limite administrative
[Termes IGN] mobilité urbaine
[Termes IGN] réseau social
[Termes IGN] trace GPS
[Termes IGN] urbanisationRésumé : (Auteur) Existing urban boundaries are usually defined by government agencies for administrative, economic, and political purposes. However, it is not clear whether the boundaries truly reflect human interactions with urban space in intra- and interregional activities. Defining urban boundaries that consider socioeconomic relationships and citizen commute patterns is important for many aspects of urban and regional planning. In this paper, we describe a method to delineate urban boundaries based upon human interactions with physical space inferred from social media. Specifically, we depicted the urban boundaries of Great Britain using a mobility network of Twitter user spatial interactions, which was inferred from over 69 million geo-located tweets. We define the non-administrative anthropographic boundaries in a hierarchical fashion based on different physical movement ranges of users derived from the collective mobility patterns of Twitter users in Great Britain. The results of strongly connected urban regions in the form of communities in the network space yield geographically cohesive, nonoverlapping urban areas, which provide a clear delineation of the non-administrative anthropographic urban boundaries of Great Britain. The method was applied to both national (Great Britain) and municipal scales (the London metropolis). While our results corresponded well with the administrative boundaries, many unexpected and interesting boundaries were identified. Importantly, as the depicted urban boundaries exhibited a strong instance of spatial proximity, we employed a gravity model to understand the distance decay effects in shaping the delineated urban boundaries. The model explains how geographical distances found in the mobility patterns affect the interaction intensity among different non-administrative anthropographic urban areas, which provides new insights into human spatial interactions with urban space. Numéro de notice : A2017-303 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1282615 En ligne : http://dx.doi.org/10.1080/13658816.2017.1282615 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85350
in International journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1293 - 1313[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2017041 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017042 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : How users perceive transparency in the 3D visualization of cadastre : testing its usability in an online questionnaire Type de document : Article/Communication Auteurs : Chen Wang, Auteur ; Jacynthe Pouliot, Auteur ; Frédéric Hubert, Auteur Année de publication : 2017 Article en page(s) : pp 599 - 618 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] cadastre
[Termes IGN] cadastre 3D
[Termes IGN] convivialité
[Termes IGN] limite administrative
[Termes IGN] limite cadastrale
[Termes IGN] parcelle cadastrale
[Termes IGN] propriété foncière
[Termes IGN] questionnaire
[Termes IGN] visualisation 3D
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) Using transparency as a visual variable in 3D geo-visualization offers several advantages since it can encode underlying data and at the same time relieve the occlusion. However, the usability of transparency has yet to be tested with intended users and it might vary from one application domain to another or from one task to another. This research project addresses the usability of transparency in 3D cadastre visualization, more specifically whether it helps users delimit property units (administrative boundaries) with their physical counterparts (e.g., walls) in condominium situation. In this situation, three types of boundaries (simple physical, simple administrative, and linked boundary, which is both physical and administrative) are involved in visualization, and three different transparency levels are used to represent these types. Empirical tests are administered in the form of an online questionnaire for university students in law (notarial law) and land surveying. The results show that, in general, using three different transparency levels is preferable and efficient solution to help users demarcate property units with their physical counterparts, and 63% participants correctly achieved their visual tasks with this design. Also, the transparency settings influence user’s performance. For example, applying very high transparency to simple administrative boundaries as compared to simple physical boundaries improves user certainty. Another important discovery is that many university students in notarial law are inexperienced with 3D visualization, and such inexperience affects the viewer’s certitude when carrying out visual tasks. Numéro de notice : A2017-383 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-016-0281-y En ligne : https://doi.org/10.1007/s10707-016-0281-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85814
in Geoinformatica > vol 21 n° 3 (July - September 2017) . - pp 599 - 618[article]
Titre : Shape-adaptive geometric simplification of heterogeneous line datasets Type de document : Article/Communication Auteurs : Timofey Samsonov, Auteur ; Olga P. Yakimova, Auteur Année de publication : 2017 Article en page(s) : pp 1485 - 1520 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] algorithme de Douglas-Peucker
[Termes IGN] données hétérogènes
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique
[Termes IGN] limite administrative
[Termes IGN] objet géographique linéaire
[Termes IGN] simplification de contour
[Termes IGN] traitement de données
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Line generalization is an essential data processing operation in geographic information systems and cartography. Many point reduction and simplification algorithms have been developed for this purpose. During the last three decades, several attempts have been made to develop approaches of generalization that adapt to the geometric properties of the processed lines. They typically incorporate line segmentation based on quantitative descriptions of the line shape. Little attention has been paid to the cases in which heterogeneous lines of different geometric character are mixed in one dataset. One common example is administrative borders, which often contain natural and artificial, smooth and sharp, schematic and non-schematic, and regular and irregular shapes. The tuning of the simplification algorithm based on a quantitative description of the shape would be ineffective here, since different algorithms must be applied to lines of different characters. In this article, we present a general method and generalization model for the simplification of such datasets. The properties of schematism, smoothness and regularity are used to differentiate various line characters. Three line characters, including irregular non-schematic, irregular schematic and regular orthogonal schematic, were selected for the current study. The developed generalization model consists of preprocessing, processing and postprocessing stages. Line segmentation based on the detection of different characters is performed during the preprocessing stage. Then, Li–Openshaw, Douglas–Peucker and orthogonal simplification are applied to the appropriate segments in the processing stage. Postprocessing enables the addition of extra regularity to the simplified shape. A visual and quantitative assessment of the results is provided and demonstrates the effectiveness of the developed approach in comparison with the global application of a single simplification algorithm. Numéro de notice : A2017-309 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1306864 En ligne : http://dx.doi.org/10.1080/13658816.2017.1306864 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85356
in International journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1485 - 1520[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-2017041 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017042 RAB Revue Centre de documentation En réserve L003 Disponible 
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