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Titre : Land use planning for natural hazards Type de document : Monographie Auteurs : George D. Bathrellos, Éditeur scientifique ; Hariklia D. Skilodimou, Auteur Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 106 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-03943-926-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] carte thématique
[Termes IGN] cartographie des risques
[Termes IGN] croissance urbaine
[Termes IGN] dégradation des sols
[Termes IGN] désertification
[Termes IGN] effondrement de terrain
[Termes IGN] érosion
[Termes IGN] géomorphologie
[Termes IGN] Grèce
[Termes IGN] inondation
[Termes IGN] montée du niveau de la mer
[Termes IGN] Népal
[Termes IGN] orage
[Termes IGN] planification
[Termes IGN] réseau de drainage
[Termes IGN] risque naturel
[Termes IGN] surveillance du littoral
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (éditeur) Natural hazard events are able to significantly affect the natural and artificial environment. In this context, changes in landforms due to natural disasters have the potential to affect and, in some cases, even restrict human interaction with the ecosystem. In order to minimize fatalities and reduce the economic impact that accompanies their occurrence, proper planning is crucial. Land use planning can play an important role in reducing current and future risks related to natural hazards. Land use changes can lead to natural hazards and vice versa: natural hazards affect land uses. Therefore, planners may take into account areas that are susceptible to natural hazards when selecting favorable locations for land use development. Appropriate land use planning can lead to the determination of safe and non-safe areas for urban activities. This Special Issue focuses on land use planning for natural hazards. In this context, various types of natural hazards, such as land degradation and desertification, coastal hazard, floods, and landslides, as well as their interactions with human activities, are presented. Note de contenu : 1- Combating land degradation and desertification: The land-use planning quandary
2- Coastal hazard vulnerability assessment based on geomorphic, oceanographic and demographic parameters: The case of the Peloponnese (Southern Greece)
3- Temporal and spatial analysis of flood occurrences in the drainage basin of Pinios River (Thessaly, Central Greece)
4- Flood hazard mapping of a rapidly urbanizing city in the foothills (Birendranagar, Surkhet) of Nepal
5- Physical and anthropogenic factors related to landslide activity in the Northern Peloponnese, GreeceNuméro de notice : 28441 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03943-926-3 En ligne : https://doi.org/10.3390/books978-3-03943-926-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98892
Titre : Learning digital geographies through geographical artificial intelligence Type de document : Thèse/HDR Auteurs : Pengyuan Liu, Auteur ; Stefano de Sabbata, Directeur de thèse ; Yu-Dong Zhang, Directeur de thèse Editeur : Leicester [Royaume-Uni] : University of Leicester Année de publication : 2021 Importance : 199 p. Format : 21 x 30 cm Note générale : bibliographie
A thesis submitted in fulfillment of the requirements for the degree of Doctor of Philosophy, Geology and EnvironmentLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de groupement
[Termes IGN] analyse socio-économique
[Termes IGN] apprentissage profond
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] croissance urbaine
[Termes IGN] détection de changement
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] données spatiotemporelles
[Termes IGN] géomatique web
[Termes IGN] intelligence artificielle
[Termes IGN] Londres
[Termes IGN] réseau neuronal de graphes
[Termes IGN] réseau sémantique
[Termes IGN] système d'information urbain
[Termes IGN] zone urbaineIndex. décimale : THESE Thèses et HDR Résumé : (auteur) As the distinction between online and physical spaces rapidly degrades, digital platforms have become an integral component of how people’s everyday experiences are mediated. User-generated content (UGC) shared on such platforms provides insights into how users want to represent their everyday lives, which augments and reinforces our understanding of local communities through time and layers dynamic information across and over the geographic space. Inspired by the development of the newly arisen scientific disciplines within geography: geographical artificial intelligence (GeoAI), this thesis adopts deep learning approaches on graph representations of human dynamics illustrated through geotagged UGC to explore how place representations are augmented and reinforced through users’ spatial experiences by classifying their multimedia activities and identifying the spatial clusters of UGC at the urban scale. Having the place representations described through UGC, this thesis explores how these representations can be used in conjunction with various official spatial statistics to understand and predict the dynamic changes of the socio-economic characteristics of places. The principal contributions of this thesis are: (1) to provide frameworks with higher classification and prediction accuracy but requiring fewer sample data; thus, contributing to an advanced framework to summarise spatial characteristics of places; (2) to show that multimedia content provides rich information regarding places, the use of space, and people’s experience of the landscape; thus, benefiting a better understanding of place representations; (3) to illustrate that the spatial patterns of UGC can be adopted as a valuable proxy to understand urban development and neighbourhood change; (4) to reinforce the concept that Spatial is Special. Spatial processes are commonly spatially autocorrelated. The mainstream of machine learning methods do not explicitly incorporate the spatial or spatio-temporal component to address such a speciality of spatial data. This thesis highlights the importance of explicitly incorporating spatial or spatio-temporal components in geographical analysis models. Note de contenu : 1- Introduction
2- Towards quantitative digital geographies: Concepts, research and implications
3- Data and methods
4- Classification learning through a graph-based semi-supervised approach
5- Location estimation of social media content through a graph-based linkPrediction
6- Urban change modelling with spatial knowledge graphs
7- DiscussionNuméro de notice : 28629 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Thèse étrangère Note de thèse : PhD Thesis: Geology and Environment: Leicester : 2021 DOI : sans En ligne : https://leicester.figshare.com/articles/thesis/Learning_Digital_Geographies_thro [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99618 Multifractal geometry for integrating several challenges of sustainable metropolitan planning / Pierre Frankhauser (2021)
contenu dans European Colloquium on Theoretical and Quantitative Geography 2021, Manchester, 3-5 November 2021 / Nuno Pinto (2021)
Titre : Multifractal geometry for integrating several challenges of sustainable metropolitan planning Type de document : Article/Communication Auteurs : Pierre Frankhauser, Auteur ; Olivier Bonin , Auteur Editeur : Manchester [Royaume-Uni] : Manchester University Press Année de publication : 2021 Conférence : ECTQG 2021, 22nd European Colloquium on Theoretical and Quantitative Geography 03/11/2021 05/11/2021 Manchester Royaume-Uni Open Access Abstracts Importance : pp 125 - 128 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] croissance urbaine
[Termes IGN] géométrie fractale
[Termes IGN] métropole
[Termes IGN] modélisation spatialeNuméro de notice : C2021-076 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100063 Documents numériques
en open access
Multifractal geometry ... - pdf éditeurAdobe Acrobat PDF
Titre : Smart cities : Their framework and applications Type de document : Monographie Auteurs : Anuar Mohamed Kassim, Éditeur scientifique ; Lufti Al-Sharif, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 288 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-83962-296-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Urbanisme
[Termes IGN] bâtiment
[Termes IGN] croissance urbaine
[Termes IGN] données massives
[Termes IGN] handicap
[Termes IGN] intelligence artificielle
[Termes IGN] internet des objets
[Termes IGN] planification urbaine
[Termes IGN] réseau de capteurs
[Termes IGN] sécurité informatique
[Termes IGN] sécurité routière
[Termes IGN] transport public
[Termes IGN] urbanisation
[Termes IGN] ville durable
[Termes IGN] ville intelligenteRésumé : (éditeur) The development of smart cities is important and beneficial to a government and its citizens. With the advent of the smartphone, rapid and reliable communication between and among individuals and governments has become ubiquitous. Everything can be connected and accessed easily with the touch of a finger. Changes in mobile internet telecommunication systems allow for the advance of new urbanization using smart city development methods. The evolution of technology in Industry 4.0, such as the advancement of cutting-edge sensors utilizing the Internet of things (IoT) concept, has wide applications in developing various smart systems. This publication analyzes the interconnected cyber-physical systems inherent in smart cities, and the development methods and applications thereof. Note de contenu : 1. Application of advanced framework technology in smart cities to improve resource utilization
2. Orchestrating smart cities, new disruptive business models and informal enterprises
3. Does smart city development promote urbanization in India?
4. Smart buildings: A model approach for institutional buildings
5. Standard elevator information schema: Its origins, features and example applications
6. A universal methodology for generating elevator passenger origin-destination pairs for calculation and simulation
7. Data compression strategies for use in advanced metering infrastructure networks
8. Energy management and optimal power scheduling in a smart building under uncertainty
9. Cognitive dynamic system for AC state estimation and cyber-attack detection in smart grid
10. Architecture of a telemonitoring system for the mobility of the elderly in wheelchairs supported by Internet of things technologies as a component of a smart city
11. Smart growth and transit oriented development: Financing and execution challenges in India
12. Estimation of the efficiency indices for operating the vertical transportation systems
13. Passive safety of children carriages on busses
14. T-S fuzzy observers to design actuator fault-tolerant control for automotive vehicle lateral dynamicsNuméro de notice : 28693 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE/SOCIETE NUMERIQUE/URBANISME Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87707 En ligne : https://doi.org/10.5772/intechopen.87707 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100307 Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries / Yuji Murayama (2021)
Titre : Spatio-temporal analysis of urbanization using GIS and remote sensing in developing countries Type de document : Monographie Auteurs : Yuji Murayama, Éditeur scientifique ; Matamyo Simwanda, Éditeur scientifique ; Manjula Ranagalage, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2021 Importance : 327 p. Format : 16 x 23 cm ISBN/ISSN/EAN : 978-3-0365-2540-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Chine
[Termes IGN] croissance urbaine
[Termes IGN] ilot thermique urbain
[Termes IGN] image satellite
[Termes IGN] occupation du sol
[Termes IGN] pays en développement
[Termes IGN] planification urbaine
[Termes IGN] système d'information géographique
[Termes IGN] urbanisation
[Termes IGN] ville durableRésumé : (éditeur) Over the last two decades, many researchers have focused on developing countries' urbanization patterns and processes. In this context, the scarcity of spatial data has been an obstacle to studying urbanization quantitatively, especially in Asian and African cities. The use of remote sensing data and geographical information systems (GIS) techniques can overcome the above limitations. Data on land use and land cover, land surface temperature, population density, and energy consumption can be extracted based on remote sensing at various spatial and temporal resolutions. GIS techniques can be used to analyze urbanization patterns and predict future patterns. Thus, the link between urbanization and sustainable urban development has increasingly become a principal issue in designing and developing sustainable cities at the local, regional, and global levels. This volume shows the spatiotemporal analysis of urbanization using GIS and remote sensing in developing countries, with a special emphasis on future urban sustainability in Asia and Africa. Capturing the spatial-temporal variation of urbanization patterns will help introduce proper sustainable urban planning in developing countries, especially for Asian and African cities. Note de contenu : 1- A cellular automata model constrained by spatiotemporal heterogeneity of the urban development strategy for simulating land-use change: A case study in Nanjing City, China
2- Remote sensing-based analysis of landscape pattern evolution in industrial rural areas: A case of southern Jiangsu, China
3- Spatial-temporal dynamic analysis of land use and landscape pattern in Guangzhou, China: Exploring
the driving forces from an urban sustainability perspective
4- Quantitative influence of land-use changes and urban expansion intensity on landscape pattern in Qingdao, China: Implications for urban sustainability
5- An analysis of urban land use/land cover changes in Blantyre City, Southern Malawi (1994–2018)
6- Spatiotemporal patterns and driving forces of urban expansion in coastal areas: A study on urban agglomeration in the Pearl River Delta, China
7- Spatiotemporal patterns and drivers of the surface urban heat island in 36 major cities in China: A comparison of two different methods for delineating rural areas
8- The impacts of the expansion of urban impervious surfaces on urban heat islands in a coastal city in China
9- The impacts of landscape changes on annual mean land surface temperature in the tropical mountain city of Sri Lanka: A case study of Nuwara Eliya (1996–2017)
10- Impact of landscape structure on the variation of land surface temperature in Sub-Saharan region: A case study of Addis Ababa using Landsat data (1986–2016)
11- Analysis of life quality in a tropical mountain city using a multi-criteria geospatial technique: A case study of Kandy City, Sri Lanka
12- Spatiotemporal analysis of the nonlinear negative relationship between urbanization and habitat quality in metropolitan areas
13- Dynamic monitoring and analysis of ecological quality of Pingtan comprehensive experimental zone, a new type of Sea Island City, based on RSEI
14- Role of urban public space and the surrounding environment in promoting sustainable development from the lens of social media
15- Comparison on multi-scale urban expansion derived from nightlight imagery between China and India
16- Impact of COVID-19 induced lockdown on environmental quality in four Indian megacities using Landsat 8 OLI and TIRS-derived data and Mamdani fuzzy logic modelling approachNuméro de notice : 28675 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/IMAGERIE/URBANISME Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-0365-2540-2 En ligne : https://doi.org/10.3390/books978-3-0365-2540-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99923 Spatiotemporal patterns of urbanization during the last four decades in Switzerland and their impacts on urban heat islands / Marti Bosch Padros (2021)PermalinkInnovative approaches, tools and visualization techniques for analysing land use structures and dynamics of cities and regions (Editorial) / Robert Hecht in Journal of Geovisualization and Spatial Analysis, vol 4 n° 2 (December 2020)PermalinkSemantic‐based urban growth prediction / Marvin Mc Cutchan in Transactions in GIS, Vol 24 n° 6 (December 2020)PermalinkDétection du changement de l'étalement urbain au bas-Sahara algérien : apport de la télédétection spatiale et des SIG, cas de la ville de Biskra (Algérie) / Assoule Dechaicha in Revue Française de Photogrammétrie et de Télédétection, n° 222 (novembre 2020)PermalinkUrban expansion in Auckland, New Zealand: a GIS simulation via an intelligent self-adapting multiscale agent-based model / Tingting Xu in International journal of geographical information science IJGIS, vol 34 n° 11 (November 2020)PermalinkWorldwide detection of informal settlements via topological analysis of crowdsourced digital maps / Satej Soman in ISPRS International journal of geo-information, vol 9 n° 11 (November 2020)PermalinkMonitoring population dynamics in the Pearl River Delta from 2000 to 2010 / Sisi Yu in Geocarto international, vol 35 n° 14 ([15/10/2020])PermalinkCoupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones / Xun Liang in International journal of geographical information science IJGIS, vol 34 n° 10 (October 2020)PermalinkUrban flooding in Britain: an approach to comparing ancient and contemporary flood exposure / T.E. O'Shea in Natural Hazards, Vol 104 n° 1 (October 2020)PermalinkComprehensive decision-strategy space exploration for efficient territorial planning strategies / Olivier Billaud in Computers, Environment and Urban Systems, vol 83 (September 2020)Permalink