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

Welcome to 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

The IPython Notebook that presents the process, together with the data required and this website, are hosted as an open repository available in the following url:

Data

Data for this document includes a csv file with attributes for the 96 buurts (neighborhoods) of the municipality of Amsterdam, as well as a shapefile of the neighborhood boundaries. 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.

License

"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.