Data for: Bayesian spatio-temporal models for mapping urban pedestrian traffic

Data and code in the R programming language associated with the manuscript "Bayesian spatio-temporal models for mapping urban pedestrian traffic" published in the Journal of Transport Geography. All data is derived from openly available sources.

Complete download (zip, 5.3 MiB)

Creator(s) Nikolai Bode
Publication date 10 Jul 2023
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.2inq7agt7hyy62g2px1uczc2w5
Citation Nikolai Bode (2023): Data for: Bayesian spatio-temporal models for mapping urban pedestrian traffic. https://doi.org/10.5523/bris.2inq7agt7hyy62g2px1uczc2w5
Total size 5.3 MiB

Data Resources