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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 geocode…
oodavid/iso-3166-2
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============== ISO 3166-2 ============== The aim of this project is to create a structured data set to be used as a foundation for the grouping of geolocational data. Currently the set is based on ISO 3166-2 with a few notable additions that give us some extra structure: 1 "planet" division (Earth) 7 "continent" divisions - plus - 4888 nodes from the ISO standard (from country down to parishes) == FORMAT == The data object is indexed on the CODE value and contains code ISO 3166-2 code (UNIQUE) name Name of the division division Type of division (planet, continent, country etc) parent The code of the parent division (OPTIONAL) lat & lng The latitude and longitude of the division (OPTIONAL) Eventually the data set will only have a single node that is missing a parent and lat/lng pair (the top-division, Earth), for now the data set is incomplete but updates to this data-set should easily be integrated to any system that uses it with trivial parsing. == SNIPPET == var iso_3166_2 = { // Planet Earth "EARTH": {"code": "EARTH", "name": "Earth", "division": "planet"}, // The 7 continents "ASI": {"code": "ASI", "name": "Asia", "division": "continent", "parent": "EARTH"}, "AFR": {"code": "AFR", "name": "Africa", "division": "continent", "parent": "EARTH"}, "ANT": {"code": "ANT", "name": "Antarctica", "division": "continent", "parent": "EARTH"}, "AUS": {"code": "AUS", "name": "Australia", "division": "continent", "parent": "EARTH"}, "EUR": {"code": "EUR", "name": "Europe", "division": "continent", "parent": "EARTH"}, "NAM": {"code": "NAM", "name": "North America", "division": "continent", "parent": "EARTH"}, "SAM": {"code": "SAM", "name": "South America", "division": "continent", "parent": "EARTH"}, // The Countries and Divisions "AD": {"code": "AD", "name": "Andorra", "division": "country", "lat": 42.5075314, "lng": 1.521815599999968}, "AD-07": {"code": "AD-07", "name": "Andorra la Vella", "division": "parish", "parent": "AD", "lat": 42.5075314, "lng": 1.521815599999968}, "AD-02": {"code": "AD-02", "name": "Canillo", "division": "parish", "parent": "AD", "lat": 42.5660922, "lng": 1.5967008999999734}, "AD-03": {"code": "AD-03", "name": "Encamp", "division": "parish", "parent": "AD", "lat": 42.5363306, "lng": 1.5831104999999752}, "AD-08": {"code": "AD-08", "name": "Escaldes-Engordany", "division": "parish", "parent": "AD", "lat": 42.5088914, "lng": 1.542137499999967}, "AD-04": {"code": "AD-04", "name": "La Massana", "division": "parish", "parent": "AD", "lat": 42.5449448, "lng": 1.5153695000000198}, "AD-05": {"code": "AD-05", "name": "Ordino", "division": "parish", "parent": "AD", "lat": 42.5554593, "lng": 1.533297800000014}, "AD-06": {"code": "AD-06", "name": "Sant Julià de Lòria", "division": "parish", "parent": "AD", "lat": 42.4648686, "lng": 1.4911495999999715} }; == KNOWN ISSUES == Countries are not yet linked to the continents About 800 of the divisions are missing a lat/lng pair In order to tackle this project I'm looking to do one of 2 things: Start a project to crowd-source these fixes Sit down and do it myself == NOTES ABOUT THE EARTH AND IT'S CONTINENTS == The continents have been given 3-letter codes to ensure that there are no collisions with the ISO 3166-2 standard The earth uses a 5-letter code (EARTH) for the same reason The continents are defined as: ASI Asia AFR Africa NAM North America SAM South America ANT Antarctica EUR Europe AUS Australia == CREDITS == [email protected] ,/ \, ((__,-"""-,__)) `--)~ ~(--` .-'( )`-, `~~`d\ /b`~~` \ / (6___6) `YYY`
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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 geocode…
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