Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes. Multiscale graph theoretical tools reveal subtle patterns in big geospatial data. In Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo A. Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda, editors, 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017. pages 3422-3425, IEEE, 2017. [doi]
@inproceedings{HaganPLR17,
title = {Multiscale graph theoretical tools reveal subtle patterns in big geospatial data},
author = {Ronald D. Hagan and Charles A. Phillips and Michael A. Langston and Bradley J. Rhodes},
year = {2017},
doi = {10.1109/BigData.2017.8258328},
url = {https://doi.org/10.1109/BigData.2017.8258328},
researchr = {https://researchr.org/publication/HaganPLR17},
cites = {0},
citedby = {0},
pages = {3422-3425},
booktitle = {2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017},
editor = {Jian-Yun Nie and Zoran Obradovic and Toyotaro Suzumura and Rumi Ghosh and Raghunath Nambiar and Chonggang Wang and Hui Zang and Ricardo A. Baeza-Yates and Xiaohua Hu and Jeremy Kepner and Alfredo Cuzzocrea and Jian Tang and Masashi Toyoda},
publisher = {IEEE},
isbn = {978-1-5386-2715-0},
}