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

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書目名稱Geoinformatics and Data Analysis影響因子(影響力)




書目名稱Geoinformatics and Data Analysis影響因子(影響力)學(xué)科排名




書目名稱Geoinformatics and Data Analysis網(wǎng)絡(luò)公開度




書目名稱Geoinformatics and Data Analysis網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Geoinformatics and Data Analysis被引頻次




書目名稱Geoinformatics and Data Analysis被引頻次學(xué)科排名




書目名稱Geoinformatics and Data Analysis年度引用




書目名稱Geoinformatics and Data Analysis年度引用學(xué)科排名




書目名稱Geoinformatics and Data Analysis讀者反饋




書目名稱Geoinformatics and Data Analysis讀者反饋學(xué)科排名

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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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