Geotagged tweets to inform a spatial interaction model: A case study of museums

Robin Lovelace, Nick Malleson, Kirk Harland, and Mark Birkin (2014). Geotagged tweets to inform a spatial interaction model: A case study of museums. Arxiv working paper.
Authors

Robin Lovelace

Nick Malleson

Kirk Harland

Mark Birkin

Published

January 1, 2014

Abstract
This study explores the use of geotagged social media data to parameterize and validate spatial interaction models. The methodology is applied to museum visitor patterns to assess the utility of digital footprints in urban and cultural research.

Type: Journal Article Venue: Arxiv working paper Year: 2014

URL BibTeX

Abstract

This study explores the use of geotagged social media data to parameterize and validate spatial interaction models. The methodology is applied to museum visitor patterns to assess the utility of digital footprints in urban and cultural research.

Citation

Robin Lovelace, Nick Malleson, Kirk Harland, and Mark Birkin (2014). Geotagged tweets to inform a spatial interaction model: A case study of museums. Arxiv working paper.

BibTeX

@article{lovelace_geotagged_2014,
    title = {Geotagged tweets to inform a spatial interaction model: a case study of museums},
    copyright = {CC0 1.0 Universal Public Domain Dedication},
    url = {https://arxiv.org/abs/1403.5118},
    abstract = {This study explores the use of geotagged social media data to parameterize and validate spatial interaction models. The methodology is applied to museum visitor patterns to assess the utility of digital footprints in urban and cultural research.},
    journal = {Arxiv working paper},
    author = {Lovelace, Robin and Malleson, Nick and Harland, Kirk and Birkin, Mark},
    year = {2014},
}

Notes