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Mining spatiotemporal association patterns from complex geographic phenomena / Zhanjun He in International journal of geographical information science IJGIS, vol 34 n° 6 (June 2020)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 34 n° 6 (June 2020) . - pp 1162 -1 187 Titre : Mining spatiotemporal association patterns from complex geographic phenomena Type de document : Article/Communication Auteurs : Zhanjun He, Auteur ; Jiannan Cai, Auteur ; Zhong Xie, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 1162 -1 187 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] approche hiérarchique [Termes descripteurs IGN] Chine [Termes descripteurs IGN] diffusion spatiale [Termes descripteurs IGN] données localisées dynamiques [Termes descripteurs IGN] exploration de données géographiques [Termes descripteurs IGN] interaction spatiale [Termes descripteurs IGN] modèle entité-association [Termes descripteurs IGN] modélisation spatio-temporelle [Termes descripteurs IGN] phénomène géographique [Termes descripteurs IGN] pollution atmosphérique [Termes descripteurs IGN] tempête Résumé : (auteur) Spatiotemporal association pattern mining can discover interesting interdependent relationships among various types of geospatial data. However, existing mining methods for spatiotemporal association patterns usually model geographic phenomena as simple spatiotemporal point events. Therefore, they cannot be applied to complex geographic phenomena, which continuously change their properties, shapes or locations, such as storms and air pollution. The most salient feature of such complex geographic phenomena is the geographic dynamic. To fully reveal dynamic characteristics of complex geographic phenomena and discover their associated factors, this research proposes a novel complex event-based spatiotemporal association pattern mining framework. First, a complex geographic event was hierarchically modeled and represented by a new data structure named directed spatiotemporal routes. Then, sequence mining technique was applied to discover the spatiotemporal spread pattern of the complex geographic events. An adaptive spatiotemporal episode pattern mining algorithm was proposed to discover the candidate driving factors for the occurrence of complex geographic events. Finally, the proposed approach was evaluated by analyzing the air pollution in the region of Beijing-Tianjin-Hebei. The experimental results showed that the proposed approach can well address the geographic dynamic of complex geographic phenomena, such as the spatial spreading pattern and spatiotemporal interaction with candidate driving factors. Numéro de notice : A2020-340 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1566549 date de publication en ligne : 01/02/2019 En ligne : https://doi.org/10.1080/13658816.2019.1566549 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95216 [article]

Year-to-year crown condition poorly contributes to ring width variations of beech trees in French ICP level I network / Clara Tallieu in Forest ecology and management, Vol 465 (1st June 2020)  

Public [article]  inForest ecology and management > Vol 465 (1st June 2020) . - 15 p. Titre : Year-to-year crown condition poorly contributes to ring width variations of beech trees in French ICP level I network Type de document : Article/Communication Auteurs : Clara Tallieu, Auteur ; Vincent Badeau, Auteur ; Denis Allard, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : 15 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] dendrochronologie [Termes descripteurs IGN] Fagus (genre) [Termes descripteurs IGN] Fagus sylvatica [Termes descripteurs IGN] feuille (végétation) [Termes descripteurs IGN] houppier [Termes descripteurs IGN] indice foliaire [Termes descripteurs IGN] pollution atmosphérique [Termes descripteurs IGN] sécheresse [Termes descripteurs IGN] stress hydrique [Termes descripteurs IGN] surveillance forestière [Termes descripteurs IGN] variation saisonnière [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) Since the 1980-90′s episodes of decline in Central European Forests, forest condition has been surveyed thanks to the trans-national network the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests). It has been traditionally accepted that leaf loss is directly related to impairment of physiological condition of the tree. A few studies tried to correlate crown condition and growth trends while others concentrated on linking annual growth with crown observation at one date clustered into fertility classes. However, none focussed on the high frequency synchronism between leaf loss from annual network observations and annual radial growth issued from dendrochronology. Therefore, we jointly studied annual leaf loss observations and tree-ring width measurements on 715 common beech (Fagus sylvatica L.) trees distributed in the French part of the ICP monitoring network. Detrended inter-annual variations of leaf loss and tree-ring width index were used as response variables in the machine-learning algorithm Random Forest to investigate a common response to abiotic (current and lagged) and biotic hazards, to test the extent to which leaf loss helped to predict inter-annual variations in radial growth. Using Random Forest was effective to identify a common sensitivity to soil water deficit at different time lags. Previous-year climatic variables tended to control leaf loss while radial growth was more sensitive to current-year soil water deficit. Late frost damages were observed on crown condition in mountainous regions but no impact was detected on radial growth. Few significant biotic damages were observed on growth or leaf loss. Leaf loss series did not show a clear common signal among trees from a plot as did radial growth and captured fewer pointer years. Radial growth index did not fall below normal until a 20% leaf loss was reached. However, this threshold is driven by a few extreme leaf loss events. As shown by our joint analysis of leaf loss and radial growth pointer years, no relationship occurred in cases of slight or moderate defoliation. Crown condition is a poorer descriptor of tree vitality than radial growth. Numéro de notice : A2020-287 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2020.118071 date de publication en ligne : 01/04/2020 En ligne : https://doi.org/10.1016/j.foreco.2020.118071 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95111 [article]

Pressures and threats to nature related to human activities in European urban and suburban forests / Ewa Referowska-Chodak in Forests, vol 10 n° 9 (September 2019)  

Public [article]  inForests > vol 10 n° 9 (September 2019) . - 26 p. Titre : Pressures and threats to nature related to human activities in European urban and suburban forests Type de document : Article/Communication Auteurs : Ewa Referowska-Chodak, Auteur Année de publication : 2019 Article en page(s) : 26 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] action anthropique [Termes descripteurs IGN] arbre urbain [Termes descripteurs IGN] biomasse forestière [Termes descripteurs IGN] construction [Termes descripteurs IGN] déboisement [Termes descripteurs IGN] écosystème [Termes descripteurs IGN] flore urbaine [Termes descripteurs IGN] gestion forestière [Termes descripteurs IGN] impact sur l'environnement [Termes descripteurs IGN] périphérie urbaine [Termes descripteurs IGN] pollution atmosphérique [Termes descripteurs IGN] urbanisation [Vedettes matières IGN] Ecologie forestière Résumé : (auteur) This review regards the pressures and threats linked with the human use of European urban and suburban forests. They can be divided into the following major categories: urban development, fragmentation, and isolation of forests; human pressures on soil and vegetation (e.g., changes in vegetation due to trampling, environmental and especially air pollution); human pressures on animals (e.g., wildlife losses due to collisions, frequent presence of dogs accompanying the visitors); and other threats and damages (e.g., littering and acts of vandalism). The directions of negative relations between people and forests shown in this review draw attention to the high complexity of the discussed issues. Awareness of this complexity (when planning and implementing forest management) can limit or counteract conflicts arising from the use of urban and suburban forests by people. This is of particular importance in the era of progressing urbanization and the evolution of human needs regarding the use of forests. Numéro de notice : A2019-336 Affiliation des auteurs : non IGN Thématique : FORET/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/f10090765 date de publication en ligne : 04/09/2019 En ligne : https://doi.org/10.3390/f10090765 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93362 [article]

Human mobility, spatiotemporal context, and environmental health / Mei-Po Kwan (2019)  

Public Titre : Human mobility, spatiotemporal context, and environmental health : Recent advances in approaches and methods Type de document : Monographie Auteurs : Mei-Po Kwan, Editeur 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 descripteurs IGN] accessibilité [Termes descripteurs IGN] alimentation [Termes descripteurs IGN] données démographiques [Termes descripteurs IGN] données GPS [Termes descripteurs IGN] données massives [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] équipement collectif [Termes descripteurs IGN] mobilité territoriale [Termes descripteurs IGN] modèle dynamique [Termes descripteurs IGN] pollution acoustique [Termes descripteurs IGN] pollution atmosphérique [Termes descripteurs IGN] santé [Termes descripteurs IGN] santé mentale [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] transport Résumé : (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 life Numéro 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

HackAIR : towards raising awareness about air quality in Europe by developing a collective online platform / Evangelos Kosmidis in ISPRS International journal of geo-information, vol 7 n° 5 (May 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 5 (May 2018) Titre : HackAIR : towards raising awareness about air quality in Europe by developing a collective online platform Type de document : Article/Communication Auteurs : Evangelos Kosmidis, Auteur ; Panagiota Syropoulou, Auteur ; Stavros Tekes, Auteur ; Philipp Schneider, Auteur ; Eleftherios Spyromitros-Xioufis, Auteur ; et al., Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] données environnementales [Termes descripteurs IGN] fusion de données [Termes descripteurs IGN] image numérique [Termes descripteurs IGN] image RVB [Termes descripteurs IGN] participation du public [Termes descripteurs IGN] pollution atmosphérique [Termes descripteurs IGN] qualité de l'air [Termes descripteurs IGN] réseau social [Termes descripteurs IGN] science citoyenne [Termes descripteurs IGN] surveillance écologique Résumé : (Auteur) Although air pollution is one of the most significant environmental factors posing a threat to human health worldwide, air quality data are scarce or not easily accessible in most European countries. The current work aims to develop a centralized air quality data hub that enables citizens to contribute to air quality monitoring. In this work, data from official air quality monitoring stations are combined with air pollution estimates from sky-depicting photos and from low-cost sensing devices that citizens build on their own so that citizens receive improved information about the quality of the air they breathe. Additionally, a data fusion algorithm merges air quality information from various sources to provide information in areas where no air quality measurements exist. Numéro de notice : A2018-342 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7050187 date de publication en ligne : 12/05/2018 En ligne : https://doi.org/10.10.3390/ijgi7050187 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90564 [article]

Just good enough data and environmental sensing : moving beyond regulatory benchmarks toward citizen action / Jennifer Gabrys in International Journal of Spatial Data Infrastructures Research, vol 2018 n° 13 (Year 2018)  

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Enhancing plant diversity and mitigating BVOC emissions of urban green spaces through the introduction of ornamental tree species / Yuan Ren in Urban Forestry & Urban Greening, vol 27 (October 2017)  

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n° 3 - octobre 2016 - Bilan de la qualité de l’air en France en 2015 (Bulletin de Datalab)    

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Spatial distribution of coal quality parameters with respect to production requirements: an adaptive neuro-fuzzy application for the Can coal field (Turkey) / Ali Kayabasi in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)  

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Variables related to nitrogen deposition improve defoliation models for European forests / Marco Ferretti in Annals of Forest Science [en ligne], vol 72 n° 7 (october 2015)  

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Bilan de la qualité de l’air en France en 2014 et principales tendances observées sur la période 2000-2014 / CGDD Commissariat Général au Développement Durable (2015)    

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Observer et prévenir / Françoise de Blomac in DécryptaGéo le mag, n° 163 (janvier 2015)

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Numéro spécial consacré à la pollution atmosphérique (Bulletin de La Météorologie) / Société météorologique de France

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Bilan de la qualité de l’air en France en 2013 et principales tendances observées sur la période 2000-2013 / CGDD Commissariat Général au Développement Durable (2014)    

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Estimating the vehicle-miles-traveled implications of alternative metropolitan growth scenarios: A Boston example / Joseph Ferreira Jr in Transactions in GIS, vol 17 n° 5 (October 2013)  

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