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Haitao Zhang, Huixian Shen, Kang Ji, Rui Song, Jinyuan Liu and Yuxin Yang
Applying spatial clustering algorithms on large-scale spatial interactive dataset to find urban hot/cold spots is a new idea to assist urban management. However, the research usually focuses on the dataset with spatio-temporal proximity, rather than remo...
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Adrian Rohr, Peter Priesmeier, Katerina Tzavella and Alexander Fekete
Emergency management services, such as firefighting, rescue teams and ambulances, are all heavily reliant on road networks. However, even for highly industrialised countries such as Germany, and even for large cities, spatial planning tools are lacking f...
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Giuliano Cornacchia and Luca Pappalardo
Modelling human mobility is crucial in several areas, from urban planning to epidemic modelling, traffic forecasting, and what-if analysis. Existing generative models focus mainly on reproducing the spatial and temporal dimensions of human mobility, whil...
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Kadir Sahbaz and Melih Basaraner
When generalizing a group of objects, displacement is an essential operation to resolve the conflicts arising between them due to enlargement of their symbol sizes and reduction of available map space. Although there are many displacement methods, most o...
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