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Manuel Antonio Ureña-Cámara and Antonio Tomás Mozas-Calvache
This study describes a new algorithm developed to detect local cells of minimum or maximum heights in grid Digital Elevation Models (DEMs). DEMs have a low variance in digital levels due to the spatial continuity of the data. Traditional algorithms, such...
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Abdelrahman Khalifa, Bashar Bashir, Abdullah Alsalman, Sambit Prasanajit Naik and Rosa Nappi
Evaluating and predicting the occurrence and spatial remarks of climate and rainfall-related destructive hazards is a big challenge. Periodically, Sinai Peninsula is suffering from natural risks that enthuse researchers to provide the area more attention...
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Robert ?upan, Adam Vinkovic, Rexhep Nikçi and Bernarda Pinjatela
This research is primarily focused on utilizing available airborne LiDAR data and spatial data from the OpenStreetMap (OSM) database to generate 3D models of buildings for a large-scale urban area. The city center of Ljubljana, Slovenia, was selected for...
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Chong Di, Brian Sulkow, Weigang Qiu and Shipeng Sun
The questing behaviors of blacklegged ticks (Ixodes scapularis) are largely regulated by environmental factors such as temperature, humidity, and vegetation. While this relationship is relatively clear at the macro- and meso-spatial scales, it is inadequ...
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Takashi Nakamura, Hideto Fujii, Toru Watanabe, Sarann Ly, Sambo Lun, Yoichi Fujihara, Keisuke Hoshikawa, Kazuhiko Miyanaga and Chihiro Yoshimura
Spatiotemporal changes in waterborne disease risk were evaluated for the Chhnok Tru floating village in the Tonle Sap Lake by combining a hydraulic simulation and quantitative microbial risk assessment (QMRA). First, a three-dimensional (3D) hydraulic si...
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