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Use of unsupervised classification for the determination of prevailing land use typology / Miha Konjar in Geodetski vestnik, vol 61 n° 4 (December 2017 - February 2018)
[article]
Titre : Use of unsupervised classification for the determination of prevailing land use typology Type de document : Article/Communication Auteurs : Miha Konjar, Auteur ; Alma Zavodnik Lamovsek, Auteur ; Dejan Grigillo, Auteur Année de publication : 2017 Article en page(s) : pp 541 - 581 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agrégation spatiale
[Termes IGN] classification non dirigée
[Termes IGN] complexité
[Termes IGN] densité de population
[Termes IGN] données socio-économiques
[Termes IGN] image numérique
[Termes IGN] indicateur spatial
[Termes IGN] occupation du sol
[Termes IGN] Slovénie
[Termes IGN] utilisation du sol
[Termes IGN] zone homogèneRésumé : (Auteur) This paper presents classification methods that enable the division of space into homogeneous areas that combine the spatial characteristics with influence on land use and changes thereof. It was determined that the existing methods do not always include the criteria needed for the aggregation of spatial units into homogeneous groups. The results of the analysis showed that the identified homogenous groups do not fully capture the spatial complexity and diversity important for land use change analyses. For this reason, a new approach to the classification of spatial units based on the unsupervised classification of digital images was proposed. The methodology includes the selection of appropriate indicators, that consider land use more comprehensively and thus enable better classification results. The use of the unsupervised classification method for prevailing land use typology has been tested in Slovenia. At the municipal level, seven types of prevailing land use were identified. Numéro de notice : A2017-777 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.15292//geodetski-vestnik.2017.04.541-581 En ligne : http://www.geodetski-vestnik.com/61/4/gv61-4_konjar.pdf Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88981
in Geodetski vestnik > vol 61 n° 4 (December 2017 - February 2018) . - pp 541 - 581[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 139-2017041 RAB Revue Centre de documentation En réserve L003 Disponible Social Distance metric: from coordinates to neighborhoods / Vagan Terziyan in International journal of geographical information science IJGIS, vol 31 n° 11-12 (November - December 2017)
[article]
Titre : Social Distance metric: from coordinates to neighborhoods Type de document : Article/Communication Auteurs : Vagan Terziyan, Auteur Année de publication : 2017 Article en page(s) : pp 2401 - 2426 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] base de données localisées
[Termes IGN] classification
[Termes IGN] distance
[Termes IGN] exploration de données géographiques
[Termes IGN] géographie sociale
[Termes IGN] interpolation
[Termes IGN] métrique
[Termes IGN] plus proche voisin, algorithme du
[Termes IGN] système d'information géographique
[Termes IGN] voisinage (relation topologique)Résumé : (Auteur) Choice of a distance metric is a key for the success in many machine learning and data processing tasks. The distance between two data samples traditionally depends on the values of their attributes (coordinates) in a data space. Some metrics also take into account the distribution of samples within the space (e.g. local densities) aiming to improve potential classification or clustering performance. In this paper, we suggest the Social Distance metric that can be used on top of any traditional metric. For a pair of samples x and y, it averages the two numbers: the place (rank), which sample y holds in the list of ordered nearest neighbors of x; and vice versa, the rank of x in the list of the nearest neighbors of y. Average is a contraharmonic Lehmer mean, which penalizes the difference between the numbers by giving values greater than the Arithmetic mean for the unequal arguments. We consider normalized average as a distance function and we prove it to be a metric. We present several modifications of such metric and show that their properties are useful for a variety of classification and clustering tasks in data spaces or graphs in a Geographic Information Systems context and beyond. Numéro de notice : A2017-701 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1367796 En ligne : https://doi.org/10.1080/13658816.2017.1367796 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88082
in International journal of geographical information science IJGIS > vol 31 n° 11-12 (November - December 2017) . - pp 2401 - 2426[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2017061 RAB Revue Centre de documentation En réserve L003 Disponible 079-2017062 RAB Revue Centre de documentation En réserve L003 Disponible Mapping theories of transformative learning / Daniel Casebeer in Cartographica, vol 52 n° 3 (Fall 2017)
[article]
Titre : Mapping theories of transformative learning Type de document : Article/Communication Auteurs : Daniel Casebeer, Auteur ; Jessica Mann, Auteur Année de publication : 2017 Article en page(s) : pp 233 – 237 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage par transformation
[Termes IGN] géographie sociale
[Termes IGN] représentation cartographique
[Termes IGN] segmentation sémantiqueRésumé : (auteur) The purpose of this study is to demonstrate the utility of social cartography for mapping theories of transformative learning. Since the 1980s, several alternative conceptions of transformative learning have emerged to challenge the dominance of Jack Mezirow's psychocritical perspective. Rather than positioning these theories in opposition to one another, this study uses textual analysis and a phenomenographic method to situate them in a heterotopic space where researchers can orient themselves as they encounter new intellectual and representational tasks brought on by the diversification of the field. Whether the map is accepted as a metaphorical curiosity or more as a literal representation, it can reveal perceived or acknowledged theoretical relationships while identifying issues in transformative education that still need to be addressed. Numéro de notice : A2017-734 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.52.3.3956 En ligne : https://doi.org/10.3138/cart.52.3.3956 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=88373
in Cartographica > vol 52 n° 3 (Fall 2017) . - pp 233 – 237[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2017031 SL Revue Centre de documentation Revues en salle Disponible Depicting urban boundaries from a mobility network of spatial interactions : a case study of Great Britain with geo-located Twitter data / Junjun Yin in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)
[article]
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]Réservation
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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 Code Grey : mapping healthcare service deserts in Hamilton, Ontario and the impact on senior populations / Kristin M. Dosen in Cartographica, vol 52 n° 2 (Summer 2017)
[article]
Titre : Code Grey : mapping healthcare service deserts in Hamilton, Ontario and the impact on senior populations Type de document : Article/Communication Auteurs : Kristin M. Dosen, Auteur ; Alexis A. Kariasuk, Auteur ; Alexandra C. Marcaccio, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 125 - 131 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] accessibilité
[Termes IGN] analyse des besoins
[Termes IGN] données médicales
[Termes IGN] données socio-économiques
[Termes IGN] équipement sanitaire
[Termes IGN] Ontario (Canada)
[Termes IGN] outil d'aide à la décision
[Termes IGN] population
[Termes IGN] répartition géographiqueRésumé : (Auteur) Given the precedent findings of health inequalities in Hamilton, ON and the rapid increase of elderly populations in Canada as a whole, this article looks for areas of deficient health services within the Hamilton region, characterized as “healthcare deserts,” and examines the possible implications with respect to the residing senior populations. Maps were constructed by overlaying median household income and percentage of population over 65 with the locations of healthcare services frequented by seniors. Qualitative analysis revealed that the distribution of senior services has no correlation to the senior population, and that senior services tend to be concentrated in lower income areas. This research has exposed the existence of healthcare deserts in most regions of Hamilton except the downtown core. Since seniors are less able to travel longer distances, living far away from these services could act as a barrier, inhibiting access and reducing quality of life. Concerns regarding accessibility of health services will become more important as this demographic grows, so mapping services in this manner can inform urban planning to minimize the impacts of these deserts. Numéro de notice : A2017-372 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3138/cart.52.2.5103 En ligne : https://doi.org/10.3138/cart.52.2.5103 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85797
in Cartographica > vol 52 n° 2 (Summer 2017) . - pp 125 - 131[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2017021 SL Revue Centre de documentation Revues en salle Disponible An intelligent spatial land use planning support system using socially rational agents / Seyed Moral Ghavami in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)PermalinkMapping fine-scale population distributions at the building level by integrating multisource geospatial big data / Yao Yao in International journal of geographical information science IJGIS, vol 31 n° 5-6 (May-June 2017)PermalinkImproving large area population mapping using geotweet densities / Nirav N. Patel in Transactions in GIS, vol 21 n° 2 (April 2017)PermalinkEngaging indigenous people as geo-crowdsourcing sensors for ecotourism mapping via mobile data collection: a case study of the Royal Belum State Park / Nurul Hawani Idris in Cartography and Geographic Information Science, Vol 44 n° 2 (March 2017)PermalinkInferring spatial scale change in an isopleth map / J. Lin in Cartographic journal (the), Vol 54 n° 1 (February 2017)PermalinkDéveloppement d'un outil cartographique dasymétrique pour la modélisation de la répartition de densité de population / Safa Fennia (2017)PermalinkRedistribution population data across a regular spatial grid according to buildings characteristics / Beata Calka in Geodesy and cartography, vol 65 n° 2 (December 2016)PermalinkASSURE : a model for the simulation of urban expansion and intra-urban social segregation / Karolien Vermeiren in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)PermalinkCharacterizing European urban settlements from population data : a cartographic approach / David Serano Giné in Cartography and Geographic Information Science, vol 43 n° 5 (November 2016)PermalinkDiffuser une alerte aux crues rapides via une application smartphone en France. De la théorie à la mise en pratique / Sekedoua Kouadio in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 21 n° 4 (juillet - août 2016)Permalink