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Titlebook: Geoinformatics and Data Analysis; Selected Proceedings Salah Bourennane,Petr Kubicek Conference proceedings 2022 The Editor(s) (if applicab

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書(shū)目名稱Geoinformatics and Data Analysis
副標(biāo)題Selected Proceedings
編輯Salah Bourennane,Petr Kubicek
視頻videohttp://file.papertrans.cn/384/383283/383283.mp4
概述Presents recent research on the methodologies and algorithms in the area of geoinformatics and data analysis.Helps to support basic scientific inquiry as well as address the complex social and environ
叢書(shū)名稱Lecture Notes on Data Engineering and Communications Technologies
圖書(shū)封面Titlebook: Geoinformatics and Data Analysis; Selected Proceedings Salah Bourennane,Petr Kubicek Conference proceedings 2022 The Editor(s) (if applicab
描述This book contains the proceedings of the 5th International Conference on Geoinformatics and Data Analysis (ICGDA 2022), held in January 21–23, Paris, France. Geoinformatics helps to support basic scientific inquiry as well as address the complex social and environmental challenges. It becomes very important technology to decision-makers across a wide range of disciplines such as computer science, information technology, software engineering, biogeography, geography, conservation, architecture, spatial analysis and reinforcement learning. The papers included in this proceeding share the latest research results and practical application examples on the methodologies and algorithms in the area of geoinformatics and data analysis, including software and information engineering, environmental geography and geographic information system, which makes the book a valuable reference for researchers, engineers and university students who are working in the field..
出版日期Conference proceedings 2022
關(guān)鍵詞Data Analysis; Geoinformatics; Geographic Information Systems; ICGDA; ICGDA2022
版次1
doihttps://doi.org/10.1007/978-3-031-08017-3
isbn_softcover978-3-031-08016-6
isbn_ebook978-3-031-08017-3Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Analyzing Geospatial Key Factors and Predicting Bike Activity in Hamburgn application case for limited service offers in smart cities. Our approach combines real-world empirical data with open-source data on points of interest for the determination. We apply linear regression methods in combination with an established metric for calculating the geospatial impact. On top
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Development of a Geoinformation Monitoring Module for the Khankalsky Geothermal Deposit in the Chechparticular, the Khankalskoe field has a huge potential of geothermal energy. This research work involves the development, on the basis of a domestic geoinformation systems (further GIS), of a module “Geothermy” (further GIS-module) to monitor the exploited geothermal fields in order to protect the e
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OSM-GAN: Using Generative Adversarial Networks for Detecting Change in High-Resolution Spatial Image various value-added LBS applications up-to-date. However, recognising such changes automatically is not a trivial task, and there are many different approaches to this problem in the literature. This paper proposes an automated end-to-end workflow to address this problem by combining OpenStreetMap
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