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Geographically masking addresses to study COVID-19 clusters / Walid Houfaf-Khoufaf in Cartography and Geographic Information Science, vol inconnu (2023)
[article]
Titre : Geographically masking addresses to study COVID-19 clusters Type de document : Article/Communication Auteurs : Walid Houfaf-Khoufaf, Auteur ; Guillaume Touya , Auteur Année de publication : 2023 Projets : 1-Pas de projet / Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] adresse postale
[Termes IGN] anonymisation
[Termes IGN] carte sanitaire
[Termes IGN] classification barycentrique
[Termes IGN] surveillance sanitaire
[Termes IGN] traitement de données localiséesRésumé : (auteur) The spatio-temporal analysis of cases is a good way an epidemic, and the recent COVID-19 pandemic unfortunately generated a huge amount of data. But analysing this raw data, with for instance the address of the people who contracted COVID-19, raises some privacy issues, and geomasking is necessary to preserve both people privacy and the spatial accuracy required for analysis. This paper proposes dierent geomasking techniques adapted to this COVID-19 data. Methods: Different techniques are adapted from the literature, and tested on a synthetic dataset mimicking the COVID-19 spatio-temporal spreading in Paris and a more rural nearby region. Theses techniques are assessed in terms of k-anonymity and cluster preservation. Results: Three adapted geomasking techniques are proposed: aggregation, bimodal gaussian perturbation, and simulated crowding. All three can be useful in different use cases, but the bimodal gaussian perturbation is the overall best techniques, and the simulated crowding is the most promising one, provided some improvements are introduced to avoid points with a low k-anonymity. Conclusions: It is possible to use geomasking techniques on addresses of people who caught COVID-19, while preserving the important spatial patterns. Numéro de notice : A2023-084 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers RSquare Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2021.1977709 Date de publication en ligne : 08/10/2021 En ligne : https://doi.org/10.1080/15230406.2021.1977709 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96857
in Cartography and Geographic Information Science > vol inconnu (2023)[article]Analysis of the spatial range of service and accessibility of hospitals designated for coronavirus disease 2019 in Yunnan Province, China / Liangting Zheng in Geocarto international, vol 37 n° 22 ([10/10/2022])
[article]
Titre : Analysis of the spatial range of service and accessibility of hospitals designated for coronavirus disease 2019 in Yunnan Province, China Type de document : Article/Communication Auteurs : Liangting Zheng, Auteur ; Jia Li, Auteur ; Wenying Hu, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 6519 - 6537 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] accessibilité
[Termes IGN] diagramme de Voronoï
[Termes IGN] données médicales
[Termes IGN] données routières
[Termes IGN] épidémie
[Termes IGN] interpolation inversement proportionnelle à la distance
[Termes IGN] interpolation par pondération de zones
[Termes IGN] maladie virale
[Termes IGN] médecine humaine
[Termes IGN] secours d'urgence
[Termes IGN] Yunnan (Chine)Résumé : (auteur) COVID-19 poses a major threat to global health care systems, and the recent surge in mortality rates confirms the importance of timely access to care. The capacity of medical service providers is reflected both in the spatial accessibility of medical institutions and in the spatial scope of their services. Therefore, this study aims to investigate the spatial scope of services and spatial accessibility of COVID-19-designated hospitals in Yunnan Province, China. Data are collected from multiple sources and included COVID-19 case data, road data, and data from designated hospitals for COVID-19 in Yunnan Province. The optimal spatial service range for designated hospitals is delineated using a weighted Voronoi diagram that takes into account the number of medical staff and the number of beds in the hospital. Traffic accessibility coefficients are introduced to analyze the spatial accessibility of COVID-19-designated hospitals, and the spatial accessibility of each designated hospital is visualized using the inverse distance weighting interpolation algorithm. The results show the following: (1) COVID-19 cases in Yunnan Province are concentrated in the central and northern regions. The largest single cells in the weighted Voronoi diagram are mainly Pu'er (59168 km2), Honghe (35569 km2), and Baoshan (46795 km2), and the time cost of attainting medical treatment is greater for residents in marginal areas. (2) Within the service space of designated hospitals, 90.24% of patients could obtain medical assistance within 2 h. Those in 52 (36.36%) counties within a municipal jurisdiction could obtain medical services within 2 h, and 76.47% of counties have above-average spatial accessibility. (3) Medical resources in Yunnan Province should be shifted toward the high-risk east-central region and the less spatially accessible in southern and western regions. Numéro de notice : A2022-728 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2021.1943008 Date de publication en ligne : 09/07/2021 En ligne : https://doi.org/10.1080/10106049.2021.1943008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101674
in Geocarto international > vol 37 n° 22 [10/10/2022] . - pp 6519 - 6537[article]Early warning of COVID-19 hotspots using human mobility and web search query data / Takahiro Yabe in Computers, Environment and Urban Systems, vol 92 (March 2022)
[article]
Titre : Early warning of COVID-19 hotspots using human mobility and web search query data Type de document : Article/Communication Auteurs : Takahiro Yabe, Auteur ; Kota Tsubouchi, Auteur ; Yoshihide Sekimoto, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 101747 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aide à la localisation
[Termes IGN] analyse de données
[Termes IGN] analyse de groupement
[Termes IGN] épidémie
[Termes IGN] exploration de données
[Termes IGN] maladie virale
[Termes IGN] mobilité urbaine
[Termes IGN] modèle de simulation
[Termes IGN] prévention des risques
[Termes IGN] requête spatiale
[Termes IGN] ressources web
[Termes IGN] surveillance sanitaire
[Termes IGN] Tokyo (Japon)Résumé : (auteur) COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts the locations of outbreaks is of crucial importance. Studies have shown the effectiveness of using large-scale mobility data to monitor the impacts of non-pharmaceutical interventions (e.g., lockdowns) through population density analysis. However, predicting the locations of potential outbreak occurrence is difficult using mobility data alone. Meanwhile, web search queries have been shown to be good predictors of the disease spread. In this study, we utilize a unique dataset of human mobility trajectories (GPS traces) and web search queries with common user identifiers (> 450 K users), to predict COVID-19 hotspot locations beforehand. More specifically, web search query analysis is conducted to identify users with high risk of COVID-19 contraction, and social contact analysis was further performed on the mobility patterns of these users to quantify the risk of an outbreak. Our approach is empirically tested using data collected from users in Tokyo, Japan. We show that by integrating COVID-19 related web search query analytics with social contact networks, we are able to predict COVID-19 hotspot locations 1–2 weeks beforehand, compared to just using social contact indexes or web search data analysis. This study proposes a novel method that can be used in early warning systems for disease outbreak hotspots, which can assist government agencies to prepare effective strategies to prevent further disease spread. Human mobility data and web search query data linked with common IDs are used to predict COVID-19 outbreaks. High risk social contact index captures both the contact density and COVID-19 contraction risks of individuals. Real world data was collected from 200 K individual users in Tokyo during the COVID-19 pandemic. Experiments showed that the index can be used for microscopic outbreak early warning. Numéro de notice : A2022-114 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2021.101747 Date de publication en ligne : 17/12/2021 En ligne : https://doi.org/10.1016/j.compenvurbsys.2021.101747 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99637
in Computers, Environment and Urban Systems > vol 92 (March 2022) . - n° 101747[article]Mapping abundance distributions of allergenic tree species in urbanized landscapes: A nation-wide study for Belgium using forest inventory and citizen science data / Sébastien Dujardin in Landscape and Urban Planning, vol 218 (February 2022)
[article]
Titre : Mapping abundance distributions of allergenic tree species in urbanized landscapes: A nation-wide study for Belgium using forest inventory and citizen science data Type de document : Article/Communication Auteurs : Sébastien Dujardin, Auteur ; Michiel Stas, Auteur ; Camille Van Eupen, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 104286 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Alnus (genre)
[Termes IGN] Belgique
[Termes IGN] Betula (genre)
[Termes IGN] carte de la végétation
[Termes IGN] carte forestière
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] Corylus (genre)
[Termes IGN] distribution spatiale
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] milieu urbain
[Termes IGN] modèle mathématique
[Termes IGN] régression
[Termes IGN] santé
[Termes IGN] science citoyenne
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Mapping the distribution of allergenic plants in urbanized landscapes is of high importance to evaluate its impact on human health. However, data is not always available for the allergy-relevant species such as alder, birch, hazel, especially within cities where systematic inventories are often missing or not readily available. This research presents an approach to produce high-resolution abundance maps of allergenic tree species using existing forest inventories and opportunistic open-access citizen science data. Following a two-step approach, we first built species distribution models (SDMs) to predict species habitat suitability, using environmental characteristics as predictors. Second, we used statistical regressions to model the relationships between abundance, the habitat suitability predicted by the SDMs, and additional vegetation cover covariates. The combination of forest inventory data with citizen science data improves the accuracy of abundance distribution models of allergenic tree species. This produces a continuous, 1-hectare resolution map of alder, birch, and hazel showing spatial variations of abundance distributions both within the urban fabric and along the urban–rural gradient. Species abundance modelling can offer a better understanding of the existing and potential future allergy risk posed by green spaces and pave the way for a wide variety of applications at fine-scale, which is indispensable for evidence-based urban green space policy and planning in support of public health. Numéro de notice : A2022-248 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1016/j.landurbplan.2021.104286 Date de publication en ligne : 31/10/2021 En ligne : https://doi.org/10.1016/j.landurbplan.2021.104286 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100196
in Landscape and Urban Planning > vol 218 (February 2022) . - n° 104286[article]Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data / Santosh Giri in International Journal of Health Geographics, vol 21 (2022)
[article]
Titre : Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data Type de document : Article/Communication Auteurs : Santosh Giri, Auteur ; Ruben Brondeel, Auteur ; Tarik El Aarbaoui, Auteur ; Basile Chaix, Auteur Année de publication : 2022 Article en page(s) : n° 19 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] accéléromètre
[Termes IGN] bicyclette
[Termes IGN] données GPS
[Termes IGN] données médicales
[Termes IGN] Ile-de-France
[Termes IGN] transport publicRésumé : (auteur) Background : There has been an increased focus on active transport, but the measurement of active transport is still difficult and error-prone. Sensor data have been used to predict active transport. While heart rate data have very rarely been considered before, this study used random forests (RF) to predict transport modes using Global Positioning System (GPS), accelerometer, and heart rate data and paid attention to methodological issues related to the prediction strategy and post-processing.
Methods : The RECORD MultiSensor study collected GPS, accelerometer, and heart rate data over seven days from 126 participants living in the Ile-de-France region. RF models were built to predict transport modes for every minute (ground truth information on modes is from a GPS-based mobility survey), splitting observations between a Training dataset and a Test dataset at the participant level instead at the minute level. Moreover, several window sizes were tested for the post-processing moving average of the predicted transport mode.
Results : The minute-level prediction rate of being on trips vs. at a visited location was 90%. Final prediction rates of transport modes ranged from 65% for public transport to 95% for biking. Using minute-level observations from the same participants in the Training and Test sets (as RF spontaneously does) upwardly biases prediction rates. The inclusion of heart rate data improved prediction rates only for biking. A 3 to 5-min bandwidth moving average was optimum for a posteriori homogenization.
Conclusion : Heart rate only very slightly contributed to better predictions for specific transport modes. Moreover, our study shows that Training and Test sets must be carefully defined in RF models and that post-processing with carefully chosen moving average windows can improve predictions.Numéro de notice : A2022-077 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1186/s12942-022-00319-y Date de publication en ligne : 16/11/2022 En ligne : https://doi.org/10.1186/s12942-022-00319-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102445
in International Journal of Health Geographics > vol 21 (2022) . - n° 19[article]Geospatial assessment of urban ecosystem disservices: An example of poisonous urban trees in Berlin, Germany / Peer von Döhren in Urban Forestry & Urban Greening, vol 67 (January 2022)PermalinkPermalinkUnderstanding and predicting the spatio-temporal spread of COVID-19 via integrating diffusive graph embedding and compartmental models / Tong Zhang in Transactions in GIS, vol 25 n° 6 (December 2021)PermalinkLes journées de la Recherche IGN 2021 / Anonyme in Géomatique expert, n° 135 (septembre 2021)PermalinkConstructing and analyzing spatial-social networks from location-based social media data / Xuebin Wei in Cartography and Geographic Information Science, vol 48 n° 3 (May 2021)PermalinkCrowdsourcing without data bias: Building a quality assurance system for air pollution symptom mapping / Marta Samulowska in ISPRS International journal of geo-information, vol 10 n° 2 (February 2021)PermalinkGeo-spatially modelling dengue epidemics in urban cities: a case study of Lahore, Pakistan / Muhammad Imran in Geocarto international, vol 36 n° 2 ([01/02/2021])PermalinkLocal fuzzy geographically weighted clustering: a new method for geodemographic segmentation / George Grekousis in International journal of geographical information science IJGIS, vol 35 n° 1 (January 2021)PermalinkMise en place d’une infrastructure de données spatiales sur le risque de piqures de tiques / Lilian Calas (2021)PermalinkRadio base stations and electromagnetic fields: GIS applications and models for identifying possible risk factors and areas exposed. Some exemplifications in Rome / Cristiano Pesaresi in ISPRS International journal of geo-information, vol 10 n° 1 (January 2021)PermalinkExploratory bivariate and multivariate geovisualizations of a social vulnerability index / Georgianna Strode in Cartographic perspectives, n° 95 (July 2020)PermalinkIntegration of spatialization and individualization: the future of epidemic modelling for communicable diseases / Meifang Li in Annals of GIS, vol 26 n° 3 (July 2020)PermalinkSpatiotemporally Varying Coefficients (STVC) model: a Bayesian local regression to detect spatial and temporal nonstationarity in variables relationships / Chao Song in Annals of GIS, vol 26 n° 3 (July 2020)PermalinkA web-based spatial decision support system for monitoring the risk of water contamination in private wells / Yu Lan in Annals of GIS, vol 26 n° 3 (July 2020)PermalinkEstimating and interpreting fine-scale gridded population using random forest regression and multisource data / Yun Zhou in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)PermalinkEstimating spatio-temporal air temperature in London (UK) using machine learning and earth observation satellite data / Rochelle Schneider dos Santos in International journal of applied Earth observation and geoinformation, vol 88 (June 2020)PermalinkMapping urban grey and green structures for liveable cities using a 3D enhanced OBIA approach and vital statistics / E. Banzhaf in Geocarto international, vol 35 n° 6 ([01/05/2020])PermalinkUsing GIS for disease mapping and clustering in Jeddah, Saudi Arabia / Abdulkader Murad in ISPRS International journal of geo-information, vol 9 n° 5 (May 2020)PermalinkAssessment of malaria hazard, vulnerability, and risks in Dire Dawa City Administration of eastern Ethiopia using GIS and remote sensing / Abdinasir Moha in Applied geomatics, vol 12 n° 1 (April 2020)PermalinkOnline flu epidemiological deep modeling on disease contact network / Liang Zhao in Geoinformatica, vol 24 n° 2 (April 2020)PermalinkA comprehensive framework for studying diffusion patterns of imported dengue with individual-based movement data / Haiyan Tao in International journal of geographical information science IJGIS, vol 34 n° 3 (March 2020)PermalinkGuide de gestion des crises sanitaires en forêt / Louise Brunier (2020)PermalinkOptimizing arbovirus surveillance using risk mapping and coverage modelling / Joni A. Downs in Annals of GIS, Vol 26 n° 1 (January 2020)PermalinkValidating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19 / Karim Hammoudi (2020)PermalinkPermalinkEpidémiologie et géographie / Marc Souris (2019)PermalinkPermalinkNumérique et territoires / Philippe Cohard (2019)PermalinkSpatial discontinuities, health and mobility - What do the Google's POIs and tweets tell us about Bangkok's (Thailand) structures and spatial dynamics? / Alexandre Cebeillac in Revue internationale de géomatique, vol 28 n° 4 (octobre - décembre 2018)PermalinkAdapting an existing semi-automatized image processing chain to enable Sentinel-2 data classification. / Hiyam Elbadri (2018)PermalinkPermalinkPermalinkn° 26 - octobre 2017 - Bilan de la qualité de l'air en France en 2016 (Bulletin de Datalab) / CGDD Commissariat Général au Développement DurablePermalinkCode 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)PermalinkAutomatisation de l’acquisition et du traitement des images Sentinel-2 pour le calcul d’indices de végétation aidant à la prévention des pics de paludisme à Madagascar / Charlotte Wolff (2017)PermalinkPermalinkLa géomatique comme aide à la décision dans le domaine de la santé / Lise Le Lann (2017)PermalinkThe location swapping method for geomasking / Su Zhang in Cartography and Geographic Information Science, Vol 44 n° 1 (January 2017)PermalinkLocation-based anonymization: comparison and evaluation of the Voronoi-based aggregation system / William Lee Croft in International journal of geographical information science IJGIS, vol 30 n° 11-12 (November - December 2016)PermalinkOn discovering co-location patterns in datasets : a case study of pollutants and child cancers / Jundong Li in Geoinformatica, vol 20 n° 4 (October - December 2016)PermalinkA novel methodology for identifying environmental exposures using GPS data / Andreea Cetateanu in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)PermalinkUn outil de visualisation d’ontologies pour le web des données, utilisable par tous / Fatma Ghorbel in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 21 n° 5 - 6 (septembre - décembre 2016)PermalinkSafe indoors / Giuseppe Conti in GEO: Geoconnexion international, vol 15 n° 6 (June 2016)PermalinkMovement analysis of free-grazing domestic ducks in Poyang Lake, China: a disease connection / Dian J. Prosser in International journal of geographical information science IJGIS, vol 30 n° 5-6 (May - June 2016)PermalinkDasymetric mapping for an improved modeling of diseases / Gianluca Boo in Géomatique suisse, vol 114 n° 4 (avril 2016)PermalinkIntegrating geo web services for a user driven exploratory analysis / Simon Moncrieff in ISPRS Journal of photogrammetry and remote sensing, vol 114 (April 2016)PermalinkDéveloppement d’un outil de webmapping pour l’optimisation de l’offre de soins en dialyse / Clémentine Chasles (2016)PermalinkEnabling geovisual analytics of health data using a server-side approach / Ulanbek Turdukulov in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)PermalinkVol 43 n° 1 - January 2016 - GeoVisual analytics: Interactivity, dynamics, and scale (Bulletin de Cartography and Geographic Information Science) / Gennady AdrienkoPermalinkPersonal mobility pattern mining and anomaly detection in the GPS era / Dong-He Shih in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)PermalinkSanté : un secteur en pleine évolution / Françoise de Blomac in DécryptaGéo le mag, n° 173 (janvier 2016)PermalinkPermalinkUsing integrated visualization techniques to investigate associations between cardiovascular health outcomes and residential migration in Auckland, New Zealand / Jinfeng Zhao in Cartography and Geographic Information Science, Vol 42 n° 5 (November 2015)PermalinkUn environnement collaboratif pour l’acquisition de compétences en conception-développement d’applications centrées utilisateur. Application aux systèmes d'assitance à la santé et au bien-être / Maha Khemaja in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 20 n° 4 (juillet - août 2015)PermalinkNeighborhood greenspace and health in a large urban center / Omid Kardan in Scientific reports, vol 5 (2015)PermalinkRegionalization of youth and adolescent weight metrics for the continental United States using contiguity-constrained clustering and partitioning / Samuel Adu-Prah in Cartographica, vol 50 n° 2 (Summer 2015)PermalinkBig Data, penser l'homme et le monde autrement / Gilles Babinet (2015)PermalinkRapport 2013-2014 de la déléguée aux risques majeurs / Direction générale de la prévention des risques (2015)PermalinkCNES strategy: satellite data and modelling for public health: towards a cooperation with NASA / Murielle Lafaye in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkOlder and wiser / Hamish Robertson in GEO: Geoconnexion international, vol 13 n° 6 (june 2014)PermalinkAn algebra for spatiotemporal data: From observations to events / Karine Reis Ferreira in Transactions in GIS, vol 18 n° 2 (April 2014)PermalinkAccessibilité aux services de santé dans la région du Haut-Plateau Central en Haïti. Application d’un modèle de localisation-affectation opérationnalisé dans un SIG / Dominique Mathon in Revue internationale de géomatique, vol 24 n° 1 (mars – mai 2014)PermalinkEnvironmental public health applications using remotely sensed data / Mohammad Z. Al-Hamdan in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)PermalinkConception et réalisation d'un atlas relatif au parcours de santé des personnes âgées : une approche comparative multisite et multiéchelle / Constance Lecomte (2014)PermalinkCartes en mains contre Lili la tigresse / Françoise de Blomac in DécryptaGéo le mag, n° 152 (01/12/2013)PermalinkA healthy understanding / Hamish Robertson in GEO: Geoconnexion international, vol 12 n° 10 (november – december 2013)PermalinkSpatial modeling of the black death in Sweden / Lars Skog in Transactions in GIS, vol 17 n° 4 (August 2013)PermalinkDracunculiasis, proximity, and risk: Analyzing the location of Guinea worm disease in a GIS / Nataniel Royal in Transactions in GIS, vol 17 n° 2 (April 2013)PermalinkLes impacts du changement climatique en Aquitaine / Hervé Le Treut (2013)PermalinkMapping malaria severity zones with Nigeriasat-1 incorporated into geographical information system / E. Ogunbadewa in Geocarto international, vol 27 n° 7 (November 2012)PermalinkProcessing aggregated data: the location of clusters in health data / Kevin Buchin in Geoinformatica, vol 16 n° 3 (July 2012)PermalinkExploiting HD camcorders for close-up human movement applications / A. Chong in Photogrammetric record, vol 27 n° 138 (June - August 2012)PermalinkWho's watching your food? A flexible framework for public health monitoring / Stacy Supak in Transactions in GIS, vol 16 n° 2 (April 2012)PermalinkLa géomatique au service de la santé / Anthony Necha (2012)PermalinkResurgence of measles in the French military forces in 2010 / A. Mayet in European Journal of Clinical Microbiology & Infectious Diseases, vol 30 n° 8 (August 2011)PermalinkA GIS-based approach in support of an assessment of food safety risks / L. Beni in Transactions in GIS, vol 15 n° 3 (July 2011)PermalinkMining boundary effects in areally referenced spatial data using the Bayesian information criterion / Sudipto Banerjee in Geoinformatica, vol 15 n° 3 (July 2011)PermalinkImage matching and surface registration for 3D reconstruction of a scoliotic torso / I. Detchev in Geomatica, vol 65 n° 2 (June 2011)PermalinkExploring the boundaries of web map services: the example of the online injury atlas for Ontario / Claus Rinner in Transactions in GIS, vol 15 n° 2 (April 2011)PermalinkPermalinkCartographie de l'exposition aux champs radioélectriques / Françoise de Blomac in SIG la lettre, n° 120 (octobre 2010)Permalinkvol 25 n° 6 - October 2010 - Remote-sensing and GIS in human behaviour and health research (Bulletin de Geocarto international)PermalinkUsing geographical information system to model the effects of green space accessibility on mortality in Florida / C. Coutts in Geocarto international, vol 25 n° 6 (October 2010)PermalinkCartographie et santé : L'exemple du Réseau régional de l'Aide médicale urgente de Haute-Normandie. / H. Parvillers in Le monde des cartes, n° 205 (septembre 2010)PermalinkIC 2010, 21es journées francophones d'Ingénierie des Connaissances, 8 - 11 juin 2010, Nîmes, France / Sylvie Desprès (2010)PermalinkIC 2010, Ingénierie des Connaissances 2010, 21es journées francophones, 9 - 10 juin 2010, Nîmes, France / Sylvie Desprès (2010)PermalinkProceedings of the GIS Research UK, 18th annual conference, University College London, 14th - 16th April 2010 / Muki M. Haklay (2010)PermalinkGestion des risques de santé en milieu urbain : une orientation géostatistique et géospatiale d'un système multi-agents / Roland Ngom in Géomatique expert, n° 70 (01/09/2009)PermalinkDisaster mapping 2.0 collaborating via GIS and geo-web-services / B. Kobben in GIM international, vol 23 n° 7 (July 2009)PermalinkProceedings of the GIS Research UK, 17th annual conference, Durham University, 1st - 3rd April 2009 / David Fairbairn (2009)PermalinkUtilisation d'un modèle gravitaire pour l'attribution des greffons hépatiques / Florian Bayer in Géomatique expert, n° 64 (01/09/2008)PermalinkL'utilisation des SIG pour l'analyse des disparités spatiales de santé dans la ville de Vientiane (Laos) / J. Vallee in Le monde des cartes, n° 197 (septembre 2008)PermalinkPremière description d’une épidémie de dengue dans une commune de l’intérieur de la Guyane : Maripasoula, France, février 2006 / Jean-Baptiste Meynard in Bulletin épidémiologique hebdomadaire, vol 2008 n° 13 ([25/03/2008])PermalinkSocial marketing mapping tool / Sylvain Dauriach (2008)PermalinkDes moucherons sous l'œil de SPOT / Françoise de Blomac in SIG la lettre, n° 91 (novembre 2007)PermalinkQuand la géomatique veille / Françoise de Blomac in SIG la lettre, n° 91 (novembre 2007)PermalinkSIG 2007 : une évolution en douceur / Anonyme in Géomatique expert, n° 59 (01/11/2007)PermalinkThe potential for use of open source software and open specifications in creating web-based cross-border health spatial information systems / R. Moreno-Sanchez in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)PermalinkVisual analytics of spatial interaction patterns for pandemic decision support / D. Guo in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)PermalinkSpatial aspects of MRSA epidemiology: a case study using stochastic simulation, kernel estimation and SaTScan / Lucy Bastin in International journal of geographical information science IJGIS, vol 21 n° 6-7 (july 2007)PermalinkMapping population distribution in the urban environment: the cadastral-based expert dasymetric system (CEDS) / J.A. Maantay in Cartography and Geographic Information Science, vol 34 n° 2 (April 2007)PermalinkEtude SIG de la corrélation entre exposition indirecte à l'amiante et asbestose / P. De Crouy-Chanel in Géomatique expert, n° 54 (01/01/2007)PermalinkImplementation of a new syndromic surveillance system in April 2006 in French Guiana / Jean-Baptiste Meynard in Advances in disease surveillance, vol 2 (2007)PermalinkContinuum removed band depth analysis for detecting the effects of natural gas, methane and ethane reflectance / M.F. Noomen in Remote sensing of environment, vol 105 n° 3 (15/12/2006)PermalinkSeroprevalence of malaria in inhabitants of the urban zone of Antananarivo, Madagascar / Olivier Domarle in Malaria Journal, n° 5 ([01/11/2006])PermalinkLa contribution d'un SIG et imagerie spatiale dans la présélection des sites adéquats pour le stockage des déchets solides urbains, cas du bassin d'oued el Maleh / N. Bentekhici in Bulletin des sciences géographiques, n° 18 (octobre 2006)PermalinkSageo 2006 : du spatial au spatio-temporel / Françoise de Blomac in SIG la lettre, n° 80 (octobre 2006)PermalinkTraffic in the Alps / R. Arnaud in GEO: Geoconnexion international, vol 5 n° 10 (november - december2006)PermalinkElaboration d'un modèle prédictif des risques de transmission paludique / Roland Ngom in Géomatique expert, n° 52 (01/09/2006)PermalinkESRI International User Conference 2006 / S. De Bruiijn in Geoinformatics, vol 9 n° 6 (01/09/2006)PermalinkL'analyse spatiale contre algèbre de cartes : des exemples en sciences de l'homme et de la société / F. Pirot in Géomatique expert, n° 48 (01/01/2006)PermalinkApport de l'information géographique à la planification sanitaire / Anaïs Hyenne (2006)PermalinkApports de l'imagerie satellitaire à la mise à jour de l'information géographique dans les pays de la ceinture tropicale / J.L. Kouame (2006)PermalinkInfluence de l'organisation spatiale du parcellaire, des pratiques agricoles et des éléments du paysage sur les densités du carpocapse, un bio-agresseur du pommier / Bernadette Ricci (2006)PermalinkMise en place d'un SIG à l'Institut Pasteur de la Guyane pour la surveillance des cas confirmés de dengue en Guyane / Xavier Thauvin (2006)PermalinkProceedings of the GIS Research UK, 14th Annual Conference, GISRUK 2006, School of Geography, the University of Nottingham, 5-7 April 2006 / Gary Priestnall (2006)PermalinkEnvironnement : que cherchent les chercheurs ? / Françoise de Blomac in SIG la lettre, n° 72 (décembre 2005)PermalinkUtilisation d'un SIG en santé environnement / Anonyme in Géomatique expert, n° 47 (01/12/2005)PermalinkDevelopment of a robust photogrammetric metrology system for monitoring the healing of bedsores [... pour la surveillance de la guérison des escarres] / A. 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Van-Goor (2004)PermalinkIC'2004, 15èmes journées d'ingénierie des connaissances, 5 - 7 mai 2004, Lyon, France / Groupe de recherche en acquisition des connaissances (2004)PermalinkProceedings of the GIS Research UK, 12th Annual Conference, University of East Anglia, Norwich, 28th - 30th April 2004 / A. Lovett (2004)PermalinkSites pollués en France / Frédéric Ogé (2004)PermalinkLand-use and land-cover change, urban heat island phenomenon, and health implications: a remote sensing approach / C.P. Lo in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)PermalinkLa valeur ajoutée des SIG dans l'urgence-santé à l'échelle régionale : expérience du réseau régional de l'aide médicale urgente de Haute-Normandie / C. Drieu in Géomatique expert, n° 27 (01/09/2003)PermalinkEvaluation des risques environnementaux pour une gestion durable des espaces / S. Vanpeene-Bruhier (2003)PermalinkGéographie des risques des transports : Actes du colloque "Risque d'accidents et risques environnementaux dans les transports routiers", 11 - 12 octobre 2001, Besançon, France / Arnaud Banos (2003)PermalinkAn example of decision support for trypanosomiasis control using a geographical information system in eastern Zambia / T.P. Robinson in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)PermalinkSIG en pleine santé / Françoise de Blomac in SIG la lettre, n° 36 (avril 2002)PermalinkApplication of remote sensing to enhance the control of wildlife associated mycobacterium bovis infection / J.S. Mckenzie in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 2 (February 2002)PermalinkMapping potential risk of valley fever outbreaks in African savannas using vegetation index time series data / A. Anyamba in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 2 (February 2002)Permalinkvol 68 n° 2 - February 2002 - Remote sensing and human health (Bulletin de Photogrammetric Engineering & Remote Sensing, PERS) / American society for photogrammetry and remote sensingPermalinkMise en place d'un système d'information géographique pour l'étude du transfert des pesticides en milieu urbain / Bruno Barroca (2002)PermalinkUtilisation du système d'information géographique et de la télédétection pour l'évaluation de la transmission du paludisme à Saharevo (Madagascar) / F. Rakotomanana (2002)PermalinkWorkshop 12 Knowledge discovery from temporal and spatial data / Christophe Dousson (2002)Permalinkvol 55 n° 5-6 - March - June 2001 - Medical Imaging and Photogrammetry (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / International society for photogrammetry and remote sensing (1980 -)PermalinkAn introduction guide to disease mapping / A.B. Lawson (2001)PermalinkUn outil SIG d'aide à la gestion sanitaire des troupeaux transhumants, étude de cas / L. Ebrard (2001)PermalinkRemote sensing applications for sustainable watershed management and food security / G. Rochon (2001)PermalinkSpace surveillance of epidemics: case of the Rift Valley fever / P. Sabatier (2001)PermalinkSERVIS : un projet de SIG régional de la santé pour la Franche-Comté / Anonyme in Géomatique expert, n° 7 (01/09/2000)PermalinkGIS: an effective tool for disease monitoring / E. Forcen in GeoEurope, vol 9 n° 2 (01/02/2000)PermalinkGIS for health organizations / L. Lang (2000)PermalinkGIS in public policy / R. W. Greene (2000)PermalinkMise en place d'un suivi spatialisé de trois maladies phytosanitaires pour la DRAF-LR [direction régionale de l'agriculture et des forêts du Languedoc-Roussillon] / E. Delion (1999)PermalinkSecond carrefour Prédit / Predit (1999)PermalinkLe bruit, la santé : la réglementation, la cartographie / D. 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