Country Polygons as GeoJSON

core

Files Size Format Created Updated License Source
2 30MB zip geojson 1 week ago Natural Earth
Geodata data package providing geojson polygons for all the world's countries. Perfect for use in apps and visualizations. Data The data comes from Natural Earth, a community effort to make visually pleasing, well-crafted maps with cartography or GIS software at small scale. The shape of the read more
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Data Files

File Description Size Last changed Download Other formats
datapackage_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 7MB datapackage_zip [zip]
countries [geojson] 23MB countries [geojson]

datapackage_zip  

This is a preview version. There might be more data in the original version.

countries  

This is a preview version. There might be more data in the original version.

Read me

Geodata data package providing geojson polygons for all the world’s countries. Perfect for use in apps and visualizations.

Data

The data comes from Natural Earth, a community effort to make visually pleasing, well-crafted maps with cartography or GIS software at small scale.

The shape of the countries have two fields :

  • name : the common name for the country
  • ISO3166-1-Alpha-3 : three letters iso code of the country

More info about countries can be get from datapackage https://github.com/datasets/country-codes by a join on field ISO3166-1-Alpha-3

Preparation

To run the script in order to update the data : see scripts README

License

All data is licensed under the Open Data Commons Public Domain Dedication and License.

Note that the original data from Natural Earth is public domain. While no credit is formally required a link back or credit to Natural Earth, Lexman and the Open Knowledge Foundation is much appreciated.

All source code is licenced under the MIT licence.

Import into your tool

If you are using R here's how to get the data you want quickly loaded:

install.packages("jsonlite")
library("jsonlite")

json_file <- "http://datahub.io/core/geo-countries/datapackage.json"
json_data <- fromJSON(paste(readLines(json_file), collapse=""))

# access csv file by the index starting from 1
path_to_file = json_data$resources[[1]]$path
data <- read.csv(url(path_to_file))
print(data)

In order to work with Data Packages in Pandas you need to install the Frictionless Data data package library and the pandas extension:

pip install datapackage
pip install jsontableschema-pandas

To get the data run following code:

import datapackage

data_url = "http://datahub.io/core/geo-countries/datapackage.json"

# to load Data Package into storage
storage = datapackage.push_datapackage(data_url, 'pandas')

# data frames available (corresponding to data files in original dataset)
storage.buckets

# you can access datasets inside storage, e.g. the first one:
storage[storage.buckets[0]]

For Python, first install the `datapackage` library (all the datasets on DataHub are Data Packages):

pip install datapackage

To get Data Package into your Python environment, run following code:

from datapackage import Package

package = Package('http://datahub.io/core/geo-countries/datapackage.json')

# get list of resources:
resources = package.descriptor['resources']
resourceList = [resources[x]['name'] for x in range(0, len(resources))]
print(resourceList)

data = package.resources[0].read()
print(data)

If you are using JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use the following code snippet:

const {Dataset} = require('data.js')

const path = 'http://datahub.io/core/geo-countries/datapackage.json'

// We're using self-invoking function here as we want to use async-await syntax:
(async () => {
  const dataset = await Dataset.load(path)

  // Get the first data file in this dataset
  const file = dataset.resources[0]
  // Get a raw stream
  const stream = await file.stream()
  // entire file as a buffer (be careful with large files!)
  const buffer = await file.buffer
})()

Install the datapackage library created specially for Ruby language using gem:

gem install datapackage

Now get the dataset and read the data:

require 'datapackage'

path = 'http://datahub.io/core/geo-countries/datapackage.json'

package = DataPackage::Package.new(path)
# So package variable contains metadata. You can see it:
puts package

# Read data itself:
resource = package.resources[0]
data = resource.read
puts data
Datapackage.json