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Dong Jiang, Wenji Zhao, Yanhui Wang and Biyu Wan
Traffic congestion is a globally widespread problem that causes significant economic losses, delays, and environmental impacts. Monitoring traffic conditions and analyzing congestion factors are the first, challenging steps in optimizing traffic congesti...
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Anshul Sud, Rahul Kanga, Suraj Kumar Singh, Gowhar Meraj, Shruti Kanga, Pankaj Kumar, AL. Ramanathan, Sudhanshu and Vinay Bhardwaj
Groundwater resources are increasingly important as the main supply of fresh water for household, industrial, and agricultural activities. However, overuse and depletion of these resources can lead to water scarcity and resource deterioration. Therefore,...
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Marina Georgati, Henning Sten Hansen and Carsten Keßler
Population growth in urban centres and the intensification of segregation phenomena associated with international mobility require improved urban planning and decision-making. More effective planning in turn requires better analysis and geospatial modell...
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Hari Krishna Dhonju, Bikash Uprety and Wen Xiao
Energy is a fundamental need of modern society and a basis for economic and social development, and one of the major Sustainable Development Goals (SDG), particularly SDG7. However, the UN?s SDG Report 2021 betrays millions of people living without elect...
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Meysam Kazemi, Lakin Wecker and Faramarz Samavati
Geospatial data analysis often requires the computing of a distance transform for a given vector feature. For instance, in wildfire management, it is helpful to find the distance of all points in an area from the wildfire?s boundary. Computing a distance...
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Mingke Li, Heather McGrath and Emmanuel Stefanakis
Among the most prevalent natural hazards, flooding has been threatening human lives and properties. Robust flood simulation is required for effective response and prevention. Machine learning is widely used in flood modeling due to its high performance a...
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Yunfan Gao, Yun Xiong, Siqi Wang and Haofen Wang
Thanks to the development of geographic information technology, geospatial representation learning based on POIs (Point-of-Interest) has gained widespread attention in the past few years. POI is an important indicator to reflect urban socioeconomic activ...
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Kaihua Hou, Chengqi Cheng, Bo Chen, Chi Zhang, Liesong He, Li Meng and Shuang Li
As the amount of collected spatial information (2D/3D) increases, the real-time processing of these massive data is among the urgent issues that need to be dealt with. Discretizing the physical earth into a digital gridded earth and assigning an integral...
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Thomas Albrecht, Ignacio González-Álvarez and Jens Klump
Landscapes evolve due to climatic conditions, tectonic activity, geological features, biological activity, and sedimentary dynamics. Geological processes at depth ultimately control and are linked to the resulting surface features. Large regions in Austr...
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João Monteiro, Bruno Martins, Miguel Costa and João M. Pires
Datasets collecting demographic and socio-economic statistics are widely available. Still, the data are often only released for highly aggregated geospatial areas, which can mask important local hotspots. When conducting spatial analysis, one often needs...
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