Replication of results for The socio-cultural sources of urban buzz

• Author: Dani Arribas-Bel

This the site that presents the data, code and steps required to reproduce the figures and results presented in the paper The socio-cultural sources of urban buzz, by Daniel Arribas-Bel, Karima Kourtit and Peter Nijkamp, accepted for publication in Environment and Planning C. If you find this interesting and use parts of it, we would appreciate if you could properly cite it in the following way:

@article{arribasbel_kourtit_nijkamp_epc,
	author = "Arribas-Bel, Daniel and Kourtit, Karima and Nijkamp, Peter",
	journal = "Environment and Planning C – Government and Policy",
	title = "{The socio-cultural sources of urban buzz}",
	year = "in press"
}

Distribution, data sources and license

This document is hosted, together with the data required, as an open repository that is available in the following url:

• https://github.com/darribas/buzz_adam

The data are provided "as is" and have been aggregated and aligned from the following sources:

• CBS 2011 neighborhood statistics (link).
• BAG for land-use data (link).
• Foursquare data from Chen et al. (2011).

The code and text presented here is authored by Daniel Arribas-Bel and licensed under a Creative-Commons license:

Dependencies

In order to run this notebook in your own machine, you will need the following libraries installed in your machine:

• IPython notebook
• Pandas
• PySAL
• Statsmodels
• The methods dbf2df and df2dbf, part of the GeoDa sandbox, hosted here. You can read about how to install them here.

Besides this Python installation, the spatial models are estimated using R and its spdep package.

"Replication of results for The socio-cultural sources of urban buzz" by Daniel Arribas-Bel is licensed under a Creative Commons Attribution 4.0 International License.