Garfield 发表于 2025-3-21 20:09:29
书目名称Geoinformatics and Data Analysis影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0383283<br><br> <br><br>书目名称Geoinformatics and Data Analysis读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0383283<br><br> <br><br>巩固 发表于 2025-3-21 23:54:50
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编辑才信任 发表于 2025-3-22 02:33:17
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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替代品 发表于 2025-3-22 19:34:08
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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的染料 发表于 2025-3-23 08:04:59
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