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A Simulation and Visualization Environment for Spatiotemporal Disaster Risk Assessments of Network Infrastructures., , , , and . Cartogr. Int. J. Geogr. Inf. Geovisualization, 52 (4): 349-363 (2017)Cartographic Relief Shading with Neural Networks., , , , , and . IEEE Trans. Vis. Comput. Graph., 27 (2): 1225-1235 (2021)Inferring Implicit 3D Representations from Human Figures on Pictorial Maps., , , , and . CoRR, (2022)Estimating network related risks: A methodology and an application in the transport sector, , , , and . Natural Hazards and Earth System Sciences, 18 (8): 2273--2293 (August 2018)A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction., , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)A survey of road feature extraction methods from raster maps., , and . Trans. GIS, 25 (6): 2734-2763 (2021)The State of the Art in Map-Like Visualization, , and . Computer Graphics Forum, 39 (3): 647-674 (2020)Terrain Segmentation Using a U-Net for Improved Relief Shading., , and . ISPRS Int. J. Geo Inf., 11 (7): 395 (2022)Stress tests for a road network using fragility functions and functional capacity loss functions., , , , , , , , and . Reliab. Eng. Syst. Saf., (2018)Cartographic reconstruction of building footprints from historical maps: A study on the Swiss Siegfried map., and . Trans. GIS, 24 (2): 442-461 (2020)