Other Resources

Many other groups and resources exist all over the world, some of which we use on a daily basis. On this page, you can find a short list of relevant Research Groups, Tools, Data Sources and Visualization Websites, and Miscellaneous.

# Institute for Environmental Science and Policy: http://iesp.uic.edu/

# The Transportist: David Levinson’s research page: http://davidlevinson.org/

# Centre for Advanced Spatial Analysis (CASA): http://www.bartlett.ucl.ac.uk/casa

# Santa Fe Institute: http://www.santafe.edu/

# Center for Urban Science + Progress (CUSP): http://cusp.nyu.edu/

# Brook Byers Institute for Sustainable Systems: http://www.sustainable.gatech.edu/

# Future of Urban Mobility (FM): https://smart.mit.edu/research/fm/about-fm

# senseable city lab: http://senseable.mit.edu/

# Eugene Mohareb’s Lab: http://eugenemohareb.com/

# ArcGIS (maps): http://www.esri.com/software/arcgis

# Python (data manipulation and much more): http://www.python.org/

# Anaconda (Python with pre-loaded libraries): https://anaconda.org/anaconda/python

# Pandas (Python library for data manipulation and processing): http://pandas.pydata.org/

# Seaborn (Python library for data visualization and some processing): https://seaborn.pydata.org/

# Scikit learn (Python library for data mining and machine learning): http://scikit-learn.org/

# NLTK (Python library for natural language processing; i.e., text mining): http://www.nltk.org/

# TextBlob (Python library for sentiment analysis of text): https://textblob.readthedocs.io/en/dev/

# igraph (Python library for network calculation and visualization): http://igraph.sourceforge.net/

# NetworkX (Python library for network calculation and visualization): https://networkx.github.io/

# Gephi (stand alone network calculation and visualization): https://gephi.org/

# NodeXL (Microsoft Excel Add-On for network calculation and visualization): http://nodexl.codeplex.com/

# R (statistical software): http://www.r-project.org/

# D3 (javascript visualization librabry): http://d3js.org/

# Google Chart (javascript charts): https://developers.google.com/chart/

# Stanford Topic Modeling Toolbox (Latent Dirichlet allocation): http://nlp.stanford.edu/software/tmt/tmt-0.4/

# Weka 3 (data mining): http://www.cs.waikato.ac.nz/ml/weka/index.html

# Google Dataset Search: https://toolbox.google.com/datasetsearch

# United States Census: http://www.census.gov/

# Urban Observatory: http://www.urbanobservatory.org/

# World Bank Data Catalogue: http://datacatalog.worldbank.org/

# United Nations Data: http://data.un.org/

# US Energy Information Administration (EIA) (energy, electricity, gas, residential buildings, commercial buildings): https://www.eia.gov/

# National Household Travel Survey (transport): https://nhts.ornl.gov/

# Longitudinal Employer-Household Dynamics (transport): https://lehd.ces.census.gov/

# United States Geological Survey (USGS) (water): https://waterdata.usgs.gov/nwis

# GTFS Data Exchange (Electronic Transit Schedule Files): http://www.gtfs-data-exchange.com/

# Information Aesthetics: http://infosthetics.com/

# FlowingData: http://flowingdata.com/

# Till Nagel Visualization: http://tillnagel.com/