PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems

Tsz Nam Chan, Rui Zang, Pak Lon Ip, Leong Hou U, Jianliang Xu. PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems. In Sudipto Das, Ippokratis Pandis, K. Selçuk Candan, Sihem Amer-Yahia, editors, Companion of the 2023 International Conference on Management of Data, SIGMOD/PODS 2023, Seattle, WA, USA, June 18-23, 2023. pages 99-102, ACM, 2023. [doi]

@inproceedings{ChanZIUX23,
  title = {PyNKDV: An Efficient Network Kernel Density Visualization Library for Geospatial Analytic Systems},
  author = {Tsz Nam Chan and Rui Zang and Pak Lon Ip and Leong Hou U and Jianliang Xu},
  year = {2023},
  doi = {10.1145/3555041.3589711},
  url = {https://doi.org/10.1145/3555041.3589711},
  researchr = {https://researchr.org/publication/ChanZIUX23},
  cites = {0},
  citedby = {0},
  pages = {99-102},
  booktitle = {Companion of the 2023 International Conference on Management of Data, SIGMOD/PODS 2023, Seattle, WA, USA, June 18-23, 2023},
  editor = {Sudipto Das and Ippokratis Pandis and K. Selçuk Candan and Sihem Amer-Yahia},
  publisher = {ACM},
  isbn = {978-1-4503-9507-6},
}