Jessamyn Hodge's repositories
ISO-3166-Countries-with-Regional-Codes
ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
cities1000
lat/lon, names of cities with over 1000 people
json-to-csv
Nested JSON to CSV Converter
all-the-cities
All the 138,398 cities of the world with a population of at least 1000 inhabitants, in a big JSON array.
neovis.js
Neo4j + vis.js = neovis.js. Graph visualizations in the browser with data from Neo4j.
terraformer-geostore
GeoStore module for Terraformer
iso-3166-2.js
Lookup information about ISO-3166-2 subdivisions
s2-geometry-library
Automatically exported from code.google.com/p/s2-geometry-library
iso-3166-2.json
JSON file of ISO 3166-2 subdivisions.
awesome-neo4j
A curated list of Neo4j resources.
awesome-world
A collection of awesome world (countries, cities, codes, flags, languages, latitude/longitude, etc.) datasets
Airports
A JSON database of 28k+ airports with ICAO/IATA codes, names, cities, two-letter country identifiers, elevation, latitude & longitude, and a timezone identifier
s2map
quick and dirty latlng visualizer
geojson-cover
generates an s2 cover from geojson
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
efele-tz-world-geojson
GeoJSON version of the world timezone shapefile provided at http://efele.net/maps/tz/world/.
RacialDotMap
Python code for creating a dataset for a dot density map for every person in the U.S., color-coded by race and ethnicity.
iso-3166-2
A publicly available dataset containing the countries and administrative divisions as defined in ISO 3166-2.After much research into how to best structure the geospacial data for happiest I made the decision to use ISO 3166-2 as the foundation. This repo contains JSON data representing ISO 3166-2 with the countries and divisions reverse geocoded; designed primarily for import into MongoDB it will be useful to anyone with a need for geospacial data.