Descripteur
Documents disponibles dans cette catégorie (920)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Epidémiologie et géographie / Marc Souris (2019)
Titre : Epidémiologie et géographie : principes, méthodes et outils de l'analyse spatiale Type de document : Guide/Manuel Auteurs : Marc Souris, Auteur ; Florent Demoraes, Préfacier, etc. Editeur : Londres : ISTE Editions Année de publication : 2019 Collection : Systèmes d'information, web et société Importance : 276 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-78405-573-8 Note générale : Glossaire et bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] données spatiotemporelles
[Termes IGN] épidémie
[Termes IGN] modélisation spatio-temporelle
[Termes IGN] représentation cartographique
[Termes IGN] risque sanitaireIndex. décimale : 37.20 Analyse spatiale et ses outils Résumé : (Editeur) Les phénomènes de santé impliquent très souvent des relations spatiales et temporelles entre les individus et des facteurs de risque liés à la géographie et à l’environnement. L’utilisation de la localisation dans l’analyse et la compréhension des phénomènes de santé est donc essentielle. Épidémiologie et géographie propose une vue d’ensemble des objectifs, des principes, des méthodes et des outils de l’analyse spatiale et des systèmes d’information géographique appliqués au domaine de la santé. Il constitue une introduction pratique à l’analyse spatio-temporelle pour l’épidémiologie et la géographie de la santé, avec une approche pédagogique illustrée par des exemples concrets. Cet ouvrage présente un aperçu simple et complet de l’utilisation de l’analyse spatiale pour les étudiants en épidémiologie, les professionnels de santé publique, les épidémiologistes, les géographes de la santé et les spécialistes en études de santé-environnement. Note de contenu : 1. Contexte méthodologique
2. Analyse spatiale d’un phénomène de santé : principes généraux
3. Données spatialisées en santé
4. Représentations cartographiques et outils de synthèse
5. Analyse de la distribution spatiale
6. Analyse spatiale du risque
7. Analyses et modélisations spatio-temporellesNuméro de notice : 26027 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92782 Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 26027-01 37.20 Livre Centre de documentation Géomatique Disponible
Titre : Geospatial analyses of Earth observation (EO) data Type de document : Monographie Auteurs : Antonio Pepe, Éditeur scientifique ; Qing Zhao, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2019 Importance : 136 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-78984-584-6 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aérosol
[Termes IGN] analyse spatiale
[Termes IGN] bassin hydrographique
[Termes IGN] bruit (théorie du signal)
[Termes IGN] cartographie géologique
[Termes IGN] changement climatique
[Termes IGN] couleur (variable spectrale)
[Termes IGN] détection de changement
[Termes IGN] données environnementales
[Termes IGN] image hyperspectrale
[Termes IGN] image optique
[Termes IGN] image Sentinel-MSI
[Termes IGN] Italie
[Termes IGN] lac
[Termes IGN] Malawi
[Termes IGN] minéral
[Termes IGN] observation de la Terre
[Termes IGN] risque naturel
[Termes IGN] télédétection spatiale
[Termes IGN] transformation de coordonnées
[Termes IGN] utilisation du solRésumé : (Editeur) Earth Observation and Geospatial Analysis presents current research related to the observation of Earth with sensors operating at various wavelengths. The book describes the use of remote sensing technologies for detecting and monitoring Earth's environmental changes (including surface and atmosphere) and its modifications over time. Chapters cover different research aspects in the framework of remote sensing with a particular emphasis on the use of hyperspectral and optical imageries. The presented experiments concern the study of soil properties, the analysis of land use/land changes, the analysis of bio-aerosols as well as the color of water, the investigation of the scar and samples of a cosmic meteoritic impact, and the theoretical treatment of the operation of spatial coordinate transformation in noisy environments. Overall, this book provides an overview of the adopted methodologies for the accomplishment of geospatial analyses to identify environmental changes due to climate change and natural phenomena. Note de contenu : 1. Application of Topographic Analyses for Mapping Spatial Patterns of Soil Properties
2. Clay Minerals Mapping from Imaging Spectroscopy
3. The Impact of Land Use and Land Cover Changes on the Nkula Dam in the Middle Shire River Catchment, Malawi
4. Advanced Methods for Spatial Analysis of Bioaerosol Long-Range Transport Processes
5. The Color of Water from Space: A Case Study for Italian Lakes from Sentinel-2
6. Bacubirito: An Outstanding Cosmic Sample on Earth
7. Spatial Coordinate Transformations with Noisy DataNuméro de notice : 26673 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.74888 Date de publication en ligne : 27/11/2019 En ligne : https://www.intechopen.com/books/7304 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98967
Titre : Human mobility, spatiotemporal context, and environmental health : Recent advances in approaches and methods Type de document : Monographie Auteurs : Mei-Po Kwan, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 382 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 9783039211838 9783039211845 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] accessibilité
[Termes IGN] alimentation
[Termes IGN] données démographiques
[Termes IGN] données GPS
[Termes IGN] données massives
[Termes IGN] données spatiotemporelles
[Termes IGN] équipement collectif
[Termes IGN] mobilité territoriale
[Termes IGN] modèle dynamique
[Termes IGN] pollution acoustique
[Termes IGN] pollution atmosphérique
[Termes IGN] santé
[Termes IGN] santé mentale
[Termes IGN] système d'information géographique
[Termes IGN] transportRésumé : (éditeur) Environmental health researchers have long used concepts like the neighborhood effect to assessing people's exposure to environmental influences and the associated health impact. However, these are static notions that ignore people's daily mobility at various spatial and temporal scales (e.g., daily travel, migratory movements, and movements over the life course) and the influence of neighborhood contexts outside their residential neighborhoods. Recent studies have started to incorporate human mobility, non-residential neighborhoods, and the temporality of exposures through collecting and using data from GPS, accelerometers, mobile phones, various types of sensors, and social media. Innovative approaches and methods have been developed. This Special Issue aims to showcase studies that use new approaches, methods, and data to examine the role of human mobility and non-residential contexts on human health behaviors and outcomes. It includes 21 articles that cover a wide range of topics, including individual exposure to air pollution, exposure and access to green spaces, spatial access to healthcare services, environmental influences on physical activity, food environmental and diet behavior, exposure to noise and its impact on mental health, and broader methodological issues such as the uncertain geographic context problem (UGCoP) and the neighborhood effect averaging problem (NEAP). This collection will be a valuable reference for scholars and students interested in recent advances in the concepts and methods in environmental health and health geography. Note de contenu : 1- The uncertain geographic context problem in the analysis of the relationships between obesity and the built Environment in Guangzhou
2- Using individual GPS trajectories to explore foodscape exposure: A case
study in Beijing metropolitan area
3- Cycling for transportation in Sao Paulo city: Associations with bike paths, train and subway stations
4- Estimating vehicle fuel consumption and emissions using GPS big data
5- Real-time estimation of population exposure to PM2.5 using mobile- and station-based
big data
6- An innovative context-based crystal-growth activity space method for environmental
exposure assessment: A study using GIS and GPS trajectory data collected in chicago
7- A multilevel analysis of perceived noise pollution, geographic contexts and mental health in Beijing
8- Understanding the influence of crop residue burning on PM2.5 and PM10 concentrations in China from 2013 to 2017 using MODIS data
9- The neighborhood effect averaging problem (NEAP): An elusive confounder of the
neighborhood effect
10- Exploring the influence of built environment on car ownership and use with a spatial multilevel model: A case study of Changchun, China
11- Geographical accessibility of community health assist scheme general practitioners for the elderly population in Singapore: A case study on the elderly living in housing development board flats
12- An analytical framework for integrating the spatiotemporal dynamics of environmental context and individual mobility in exposure assessment: A study on the relationship between food environment exposures and body weight
13- Evaluating the accessibility of healthcare facilities using an integrated catchment
area approach
14- Impacts of individual daily Greenspace exposure on health based on individual activity space and structural equation modeling
15- An improved healthcare accessibility measure considering the temporal dimension and
population demand of different ages
16- Perceived environmental, individual and social factors of long-distance collective walking in cities
17- Geographic imputation of missing activity space data from ecological momentary assessment (EMA) GPS positions
18- Environmental, individual and personal goal influences on older adults’ walking in the Helsinki metropolitan area
19- Spatial accessibility to primary healthcare services by multimodal means of travel: Synthesis and case study in the city of Calgary
20- Roles of different transport modes in the spatial spread of the 2009 influenza A(H1N1) pandemic in mainland China
21- Association between the activity space exposure to parks in childhood and adolescence and cognitive aging in later lifeNuméro de notice : 25948 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie DOI : 10.3390/books978-3-03921-184-5 En ligne : https://doi.org/10.3390/books978-3-03921-184-5 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96379 Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing / Minrui Zheng in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)
[article]
Titre : Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing Type de document : Article/Communication Auteurs : Minrui Zheng, Auteur ; Wenwu Tang, Auteur ; Xiang Zhao, Auteur Année de publication : 2019 Article en page(s) : pp 314 - 345 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] algorithme d'apprentissage
[Termes IGN] analyse spatiale
[Termes IGN] apprentissage profond
[Termes IGN] Caroline du Nord (Etats-Unis)
[Termes IGN] données spatiotemporelles
[Termes IGN] géostatistique
[Termes IGN] méthode des moindres carrés
[Termes IGN] modèle empirique
[Termes IGN] modèle numérique de surface
[Termes IGN] modélisation spatiale
[Termes IGN] optimisation (mathématiques)
[Termes IGN] régression linéaire
[Termes IGN] réseau neuronal artificiel
[Termes IGN] système d'information foncièreRésumé : (auteur) Artificial neural networks (ANNs) have been extensively used for the spatially explicit modeling of complex geographic phenomena. However, because of the complexity of the computational process, there has been an inadequate investigation on the parameter configuration of neural networks. Most studies in the literature from GIScience rely on a trial-and-error approach to select the parameter setting for ANN-driven spatial models. Hyperparameter optimization provides support for selecting the optimal architectures of ANNs. Thus, in this study, we develop an automated hyperparameter selection approach to identify optimal neural networks for spatial modeling. Further, the use of hyperparameter optimization is challenging because hyperparameter space is often large and the associated computational demand is heavy. Therefore, we utilize high-performance computing to accelerate the model selection process. Furthermore, we involve spatial statistics approaches to improve the efficiency of hyperparameter optimization. The spatial model used in our case study is a land price evaluation model in Mecklenburg County, North Carolina, USA. Our results demonstrate that the automated selection approach improves the model-level performance compared with linear regression, and the high-performance computing and spatial statistics approaches are of great help for accelerating and enhancing the selection of optimal neural networks for spatial modeling. Numéro de notice : A2019-022 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1530355 Date de publication en ligne : 12/10/2018 En ligne : https://doi.org/10.1080/13658816.2018.1530355 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91689
in International journal of geographical information science IJGIS > Vol 33 n° 1-2 (January - February 2019) . - pp 314 - 345[article]Réservation
Réserver ce documentExemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 079-2019011 RAB Revue Centre de documentation En réserve L003 Disponible
Titre : Image based rendering of large historical image collections Type de document : Article/Communication Auteurs : Evelyn Paiz-Reyes , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2019 Projets : Alegoria / Gouet-Brunet, Valérie Conférence : Eurographics 2019, Doctoral consortium, 40th annual conference of the European association for computer graphics 06/05/2019 10/05/2019 Gênes Italie programme doctoral consortium Importance : 4 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatio-temporelle
[Termes IGN] base de données d'images
[Termes IGN] distorsion d'image
[Termes IGN] données anciennes
[Termes IGN] iconographie
[Termes IGN] image numérisée
[Termes IGN] information géographique
[Termes IGN] rendu (géovisualisation)
[Termes IGN] visualisation de données
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) This paper states an overview of my dissertation research centered on the continuous immersive visualization and navigation through time and space of large sets of historical photographs. The research aims for: (i) the treatment of scientific obstacles (e.g. data volume, heterogeneity, distortions, and uncertainties) that appear when old pictures are placed in today’s environment; (ii) the visualization (saliently and spatially) of these photos. The main model of the study is image-based rendering IBR, because of its capacity to use imprecise or non-existent geometry (i.e. since a modern 3D scene may differ from a historical one, due to environmental changes over time). The findings of this work may contribute significantly by extending the current IBR models and providing a new innovative way to examine these massive and heterogeneous datasets. Numéro de notice : C2019-073 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans Date de publication en ligne : 05/11/2019 En ligne : https://hal.archives-ouvertes.fr/hal-02301561 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94167 Documents numériques
en open access
Image based rendering... - pdf preprintAdobe Acrobat PDF Machine learning techniques applied to geoscience information system and remote sensing / Saro Lee (2019)PermalinkMéthodes d'apprentissage statistique pour la détection de la signalisation routière à partir de véhicules traceurs / Yann Méneroux (2019)PermalinkA spatiotemporal calculus for reasoning about land-use trajectories / Adeline Marinho Maciel in International journal of geographical information science IJGIS, Vol 33 n° 1-2 (January - February 2019)PermalinkLes systèmes d'information géographique / Christina Aschan-Leygonie (2019)PermalinkWebscraping, bigdata et analyse spatiale de données immobilières : réponse à un projet ESPON au sein de l'UMS RIATE / Marc Lieury (2019)PermalinkUsing Network Segments in the Visualization of Urban Isochrones / Jeff Allen in Cartographica, vol 53 n° 4 (Winter 2018)PermalinkOpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project / Amin Mobasheri in Geo-spatial Information Science, vol 21 n° 3 (October 2018)PermalinkValuable components of CyberGIS : Expert viewpoints through Q‐method interviews / Forrest J. Bowlick in Transactions in GIS, vol 22 n° 5 (October 2018)PermalinkMise en oeuvre d’un SIG pour le projet FARMaine (Partie 2) / Adèle Debray in Géomatique expert, n° 124 (septembre - octobre 2018)PermalinkSea-land interdependence in the global maritime network: the case of Australian port cities / Justin Berli in Networks and Spatial Economics, vol 18 n° 3 (September 2018)PermalinkUncertainty modeling and analysis of surface area calculation based on a regular grid digital elevation model (DEM) / Chang Li in International journal of geographical information science IJGIS, vol 32 n° 9-10 (September - October 2018)PermalinkSensePlace3: a geovisual framework to analyze place–time–attribute information in social media / Scott Pezanowski in Cartography and Geographic Information Science, Vol 45 n° 5 (August 2018)Permalink3D WebGIS : from visualization to analysis. An efficient browser-based 3D line-of-sight analysis / Michael Auer in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)PermalinkCombining machine-learning topic models and spatiotemporal analysis of social media data for disaster footprint and damage assessment / Bernd Resch in Cartography and Geographic Information Science, Vol 45 n° 4 (July 2018)PermalinkMining and visual exploration of closed contiguous sequential patterns in trajectories / Can Yang in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)PermalinkUsing interactions and dynamics for mining groups of moving objects from trajectory data / Corrado Loglisci in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)PermalinkLe SIG au secours du plan de mobilité des entreprises / Hubert d' Erceville in SIGmag, n° 17 (juin 2018)PermalinkA simple line clustering method for spatial analysis with origin-destination data and its application to bike-sharing movement data / Biao He in ISPRS International journal of geo-information, vol 7 n° 6 (June 2018)PermalinkSpatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data / Michalis A. Savelonas in Computer Vision and image understanding, vol 171 (June 2018)PermalinkMapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records / Zhang Liu in Transactions in GIS, vol 22 n° 2 (April 2018)Permalink