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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed. Many hot/cold spot detection techniques are proposed in literatur...
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Albert Bourassa, Philippe Apparicio, Jérémy Gelb and Geneviève Boisjoly
Many studies have proven that urban greenness is an important factor when cyclists choose a route. Thus, detecting trees along a cycling route is a major key to assessing the quality of cycling routes and providing further arguments to improve ridership ...
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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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Andre D. L. Zanchetta, Paulin Coulibaly and Vincent Fortin
The use of machine learning (ML) for predicting high river flow events is gaining prominence and among its non-trivial design decisions is the definition of the quantitative precipitation estimate (QPE) product included in the input dataset. This study p...
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Pavana Pradeep and Krishna Kant
Internet of Things (IoT) systems are becoming ubiquitous in various cyber?physical infrastructures, including buildings, vehicular traffic, goods transport and delivery, manufacturing, health care, urban farming, etc. Often multiple such IoT subsystems a...
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