New tools of the trade? The potential and pitfalls of’Machine Learning’and’DAGs’ to model origin-destination data

Robin Lovelace and Ilan Fridman-Rojas (2017). New tools of the trade? The potential and pitfalls of’Machine Learning’and’DAGs’ to model origin-destination data. GeoComputation 2017.
Authors

Robin Lovelace

Ilan Fridman-Rojas

Published

January 1, 2017

Type: Conference Paper Venue: GeoComputation 2017 Year: 2017

BibTeX

Citation

Robin Lovelace and Ilan Fridman-Rojas (2017). New tools of the trade? The potential and pitfalls of’Machine Learning’and’DAGs’ to model origin-destination data. GeoComputation 2017.

BibTeX

@inproceedings{lovelace_new_2017,
  title = {New Tools of the Trade? {{The}} Potential and Pitfalls of'{{Machine Learning}}'and'{{DAGs}}' to Model Origin-Destination Data},
  shorttitle = {New Tools of the Trade?},
  booktitle = {{{GeoComputation}} 2017},
  author = {Lovelace, Robin and {Fridman-Rojas}, Ilan},
  editor = {Long, Rob},
  year = {2017},
  publisher = {{Centre for Computational Geography, University of Leeds}},
  copyright = {CC0 1.0 Universal Public Domain Dedication},
  file = {/home/robin/Zotero/storage/6EXFI7ZR/Lovelace et al. - 2017 - New tools of the trade The potential and pitfalls.pdf;/home/robin/Zotero/storage/HMFQBN8S/124286.html}
}

Notes