Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation

Benjamin Romano, Zhe Jiang. Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation. In Erik Hoel, Shawn D. Newsam, Siva Ravada, Roberto Tamassia, Goce Trajcevski, editors, Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2017, Redondo Beach, CA, USA, November 7-10, 2017. ACM, 2017. [doi]

@inproceedings{RomanoJ17,
  title = {Visualizing Traffic Accident Hotspots Based on Spatial-Temporal Network Kernel Density Estimation},
  author = {Benjamin Romano and Zhe Jiang},
  year = {2017},
  doi = {10.1145/3139958.3139981},
  url = {http://doi.acm.org/10.1145/3139958.3139981},
  researchr = {https://researchr.org/publication/RomanoJ17},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2017, Redondo Beach, CA, USA, November 7-10, 2017},
  editor = {Erik Hoel and Shawn D. Newsam and Siva Ravada and Roberto Tamassia and Goce Trajcevski},
  publisher = {ACM},
  isbn = {978-1-4503-5490-5},
}