@InProceedings{morton_et_al:LIPIcs.GISCIENCE.2018.51,
author = {Morton, April and Piburn, Jesse and Nagle, Nicholas},
title = {{Need A Boost? A Comparison of Traditional Commuting Models with the XGBoost Model for Predicting Commuting Flows}},
booktitle = {10th International Conference on Geographic Information Science (GIScience 2018)},
pages = {51:1--51:7},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-083-5},
ISSN = {1868-8969},
year = {2018},
volume = {114},
editor = {Winter, Stephan and Griffin, Amy and Sester, Monika},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.51},
URN = {urn:nbn:de:0030-drops-93793},
doi = {10.4230/LIPIcs.GISCIENCE.2018.51},
annote = {Keywords: Machine learning, commuting modeling}
}