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A new cellular automata framework of urban growth modeling by incorporating statistical and heuristic methods / Yongjiu Feng in International journal of geographical information science IJGIS, vol 34 n° 1 (January 2020)
[article]
Titre : A new cellular automata framework of urban growth modeling by incorporating statistical and heuristic methods Type de document : Article/Communication Auteurs : Yongjiu Feng, Auteur ; Xiaohua Tong, Auteur Année de publication : 2020 Article en page(s) : pp 74 - 97 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de données
[Termes IGN] automate cellulaire
[Termes IGN] croissance urbaine
[Termes IGN] données spatiotemporelles
[Termes IGN] dynamique spatiale
[Termes IGN] méthode heuristique
[Termes IGN] modèle de Markov
[Termes IGN] modèle de simulation
[Termes IGN] Shanghai (Chine)
[Termes IGN] utilisation du solRésumé : (auteur) We develop a new geographical cellular automata (CA) modeling framework, named UrbanCA, through reconstructing the essential CA structure and incorporating nonspatial, spatial, and heuristic approaches. The new UrbanCA is featured by 1) the improvement of the CA modeling framework by reformulating relationships among CA components, 2) the development of two scaling parameters to adjust the effects of transition probability and neighborhood, 3) the incorporation of a variety of statistical and heuristic methods to construct transition rules, and 4) the inclusion of urban planning regulations and spatial heterogeneities to project future urban scenarios. To illustrate the effectiveness of UrbanCA, we calibrate a CA model using artificial bee colony (ABC) to simulate the past urban patterns and predict future scenarios in Shanghai of China. The results show that UrbanCA under different scaling parameters is comparable to CA-Markov (as a reference model) concerning the accuracy of the end-state and change simulations, and is better than CA-Markov regarding the driving factor’s ability to explain the modeling outcomes. UrbanCA provides more choices compared to existing CA software packages, and the models are readily calibrated elsewhere to simulate the dynamic urban growth and assess the resulting natural and socioeconomic impacts. Numéro de notice : A2020-008 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2019.1648813 Date de publication en ligne : 02/08/2019 En ligne : https://doi.org/10.1080/13658816.2019.1648813 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94388
in International journal of geographical information science IJGIS > vol 34 n° 1 (January 2020) . - pp 74 - 97[article]Réservation
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Titre : Rainfall erosivity in soil erosion processes Type de document : Monographie Auteurs : Gianni Bellocchi, Éditeur scientifique ; Nazzareno Diodato, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 148 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-03928-805-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Vedettes matières IGN] Végétation et changement climatique
[Termes IGN] aide à la décision
[Termes IGN] bilan hydrique
[Termes IGN] changement climatique
[Termes IGN] érosion hydrique
[Termes IGN] gestion de l'eau
[Termes IGN] modélisation spatiale
[Termes IGN] plan de prévention des risques
[Termes IGN] précipitation
[Termes IGN] risque naturel
[Termes IGN] utilisation du solRésumé : (éditeur) This book gathers recent international research on the association between aggressive rainfall and soil loss and landscape degradation. Different contributions explore these complex relationships and highlight the importance of the spatial patterns of precipitation intensity on land flow under erosive storms, with the support of observational and modelling data. This is a large and multifaceted area of research of growing importance that outlines the challenge of protecting land from natural hazards. The increase in the number of high temporal resolution rainfall records together with the development of new modelling capabilities has opened up new opportunities for the use of large-scale planning and risk prevention methods. These new perspectives should no longer be considered as an independent research topic, but should, above all, support comprehensive land use planning, which is at the core of environmental decision-making and operations. Textbooks such as this one demonstrate the significance of how hydrological science can enable tangible progress in understanding the complexity of water management and its current and future challenges. Note de contenu : 1- Rainfall erosivity in soil erosion processes
2- Estimating current and future rainfall erosivity in Greece using regional climate models and spatial quantile regression forests
3- Evaluation of hydromulches as an erosion control measure using
laboratory-scale experiments
4- Spatial and temporal patterns of rainfall erosivity in the Tibetan plateau
5- Effect of rain peak morphology on runoff and sediment yield in Miyun water source reserve in China
6- Design of a pressurized rainfall simulator for evaluating performance of erosion
control practices
7- Reconstruction of seasonal net erosion in a Mediterranean landscape (Alento River basin, Southern Italy) over the past five decades
8- Raindrop energy impact on the distribution characteristics of splash aggregates of cultivated dark Loessial cores
9- Projected rainfall erosivity over central Asia based on CMIP5 climate modelsNuméro de notice : 25994 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03928-805-2 En ligne : https://doi.org/10.3390/books978-3-03928-805-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96775
Titre : Recent advances in geographic information system for Earth sciences Type de document : Monographie Auteurs : Yosoon Choi, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2020 Importance : 264 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-03936-490-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse spatiale
[Termes IGN] apprentissage profond
[Termes IGN] bassin hydrographique
[Termes IGN] cartographie thématique
[Termes IGN] codage
[Termes IGN] cognition
[Termes IGN] développement durable
[Termes IGN] effondrement de terrain
[Termes IGN] interface homme-machine
[Termes IGN] modèle dynamique
[Termes IGN] modèle numérique de surface
[Termes IGN] oculométrie
[Termes IGN] outil d'aide à la décision
[Termes IGN] planification urbaine
[Termes IGN] QGIS
[Termes IGN] réseau de transport
[Termes IGN] réseau social
[Termes IGN] utilisation du solRésumé : (éditeur) Geographic information systems (GISs) have played a vital role in Earth sciences by providing a powerful means of observing the world and various tools for solving complex problems. The scientific community has used GISs to reveal fascinating details about the Earth and other planets. This book on recent advances in GIS for Earth sciences includes 12 publications from esteemed research groups worldwide. The research and review papers in this book belong to the following broad categories: Earth science informatics (geoinformatics), mining, hydrology, natural hazards, and society. Note de contenu : 1- Recent advances in geographic information system for earth sciences
2- An efficient parallel algorithm for polygons overlay analysis
3- Vector map random encryption algorithm based on multi-scale simplification and Gaussian distribution
4- Evaluation of effective cognition for the QGIS processing modeler
5- Geo-sensor framework and composition toolbox for efficient deployment of multiple spatial context service platforms in sensor networks
6- Review of GIS-based applications for mining: Planning, operation, and environmental management
7- A tightly coupled GIS and spatiotemporal modeling for methane emission simulation in the underground coal mine system
8- Evaluation of reliable digital elevation model resolution for TOPMODEL in two mountainous watersheds, South Korea
9- Spatiotemporal changes of urban rainstorm-related micro-blogging activities in response to rainstorms: A case study in Beijing, China
10- Rainfall induced landslide studies in Indian Himalayan region: A critical review
11- GIS-based evaluation of landslide susceptibility models using certainty factors and functional trees-based ensemble techniques
12- Spatiotemporal dynamics and obstacles of the multi-functionality of land use in Xiangxi, China
13- Analyzing spatial community pattern of network traffic flow and its variations across time based on taxi GPS trajectoriesNuméro de notice : 28439 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03936-490-9 En ligne : https://doi.org/10.3390/books978-3-03936-490-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98876 Revealing the Correlation between Population Density and the Spatial Distribution of Urban Public Service Facilities with Mobile Phone Data / Yi Shi in ISPRS International journal of geo-information, Vol 9 n° 1 (January 2020)
[article]
Titre : Revealing the Correlation between Population Density and the Spatial Distribution of Urban Public Service Facilities with Mobile Phone Data Type de document : Article/Communication Auteurs : Yi Shi, Auteur ; Junyan Yang, Auteur ; Peiyu Shen, Auteur Année de publication : 2020 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] densité de population
[Termes IGN] distribution spatiale
[Termes IGN] données spatiotemporelles
[Termes IGN] occupation du sol
[Termes IGN] recensement démographique
[Termes IGN] service public
[Termes IGN] Shanghai (Chine)
[Termes IGN] téléphone intelligent
[Termes IGN] utilisation du sol
[Termes IGN] zone urbaineRésumé : (auteur) Some studies have confirmed the association between urban public services and population density; however, other studies using census data, for example, have arrived at the opposite conclusion. Mobile signaling data provide new technological tools to investigate the subject. Based on the data of 20 million 2G mobile phone users in downtown Shanghai and the land use data of urban public service facilities, this study explores the spatiotemporal correlation between population density and public service facilities’ locations in downtown Shanghai and its variation laws. The correlation between individual population density at day vs. night and urban public service facilities distribution was also examined from a dynamic perspective. The results show a correlation between service facilities’ locations and urban population density at different times of the day. As a result, the average population density observed over a long period of time (day-time periodicity or longer) with census data or remote sensing data does not directly correlation with the distribution of public service facilities despite its correlation with public service facilities distribution. Among them, there is a significant spatial correlation between public service facilities and daytime population density and a significant spatial correlation between non-public service facilities and night-time population density. The spatial and temporal changes in the relationship between urban population density and service facilities is due to changing crowd behavior; however, the density of specific types of behavior is the real factor that affects the layout of urban public service facilities. The results show that mobile signaling data and land use data of service facilities are of great value for studying the spatiotemporal correlations between urban population density and service facilities Numéro de notice : A2020-115 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi9010038 Date de publication en ligne : 13/01/2020 En ligne : https://doi.org/10.3390/ijgi9010038 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94725
in ISPRS International journal of geo-information > Vol 9 n° 1 (January 2020)[article]Satellite image time series classification with pixel-set encoders and temporal self-attention / Vivien Sainte Fare Garnot (2020)
Titre : Satellite image time series classification with pixel-set encoders and temporal self-attention Type de document : Article/Communication Auteurs : Vivien Sainte Fare Garnot , Auteur ; Loïc Landrieu , Auteur ; Sébastien Giordano , Auteur ; Nesrine Chehata , Auteur Editeur : Computer vision foundation CVF Année de publication : 2020 Projets : 1-Pas de projet / Conférence : CVPR 2020, IEEE Conference on Computer Vision and Pattern Recognition 14/06/2020 19/06/2020 en ligne Chine Open Access Proceedings Importance : pp 12325 - 12334 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage automatique
[Termes IGN] classification automatique
[Termes IGN] classification orientée objet
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] géocodage
[Termes IGN] image multibande
[Termes IGN] image satellite
[Termes IGN] parcelle agricole
[Termes IGN] politique agricole commune
[Termes IGN] série temporelle
[Termes IGN] utilisation du solRésumé : (auteur) Satellite image time series, bolstered by their growing availability, are at the forefront of an extensive effort towards automated Earth monitoring by international institutions. In particular, large-scale control of agricultural parcels is an issue of major political and economic importance. In this regard, hybrid convolutional-recurrent neural architectures have shown promising results for the automated classification of satellite image time series.We propose an alternative approach in which the convolutional layers are advantageously replaced with encoders operating on unordered sets of pixels to exploit the typically coarse resolution of publicly available satellite images. We also propose to extract temporal features using a bespoke neural architecture based on self-attention instead of recurrent networks. We demonstrate experimentally that our method not only outperforms previous state-of-the-art approaches in terms of precision, but also significantly decreases processing time and memory requirements. Lastly, we release a large openaccess annotated dataset as a benchmark for future work on satellite image time series. Numéro de notice : C2020-016 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers ArXiv/vers CVF Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/CVPR42600.2020.01234 Date de publication en ligne : 05/08/2020 En ligne : https://doi.org/10.1109/CVPR42600.2020.01234 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94225 Documents numériques
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