Natural Earth Admin1 Polygons as GeoJSON

core

Files Size Format Created Updated License Source
2 281kB zip geojson 2 months ago Natural Earth
Geodata data package providing geojson polygons for the states in the USA. 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. This dataset covers the United States of America. admin1 are the read more
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Data Files

File Description Size Last changed Download Other formats
geo-admin1-us_zip [zip] Compressed versions of dataset. Includes normalized CSV and JSON data with original data and datapackage.json. 32kB geo-admin1-us_zip [zip]
admin1-us [geojson] 108kB admin1-us [geojson]

geo-admin1-us_zip  

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

admin1-us  

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

Read me

Geodata data package providing geojson polygons for the states in the USA.

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.

This dataset covers the United States of America. admin1 are the biggest administrative area below the country : ie the states. See documentation for more information.

The shape of the admin1 have four fields :

  • name : the common name for this admin1 subdivision
  • id : Natural Earth adm1_code for the subdivision inside the country. Documentation is not clear what this code is, but it could be FIPS
  • code : the well known two letter code for the state
  • country : name of the country
  • ISO3166-1-Alpha-3 : three letters iso code of the country

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

In order to use Data Package in R follow instructions below:

install.packages("devtools")
library(devtools)
install_github("hadley/readr")
install_github("ropenscilabs/jsonvalidate")
install_github("ropenscilabs/datapkg")

#Load client
library(datapkg)

#Get Data Package
datapackage <- datapkg_read("https://pkgstore.datahub.io/core/geo-admin1-us/latest")

#Package info
print(datapackage)

#Open actual data in RStudio Viewer
View(datapackage$data$"geo-admin1-us_zip")
View(datapackage$data$"admin1-us")

Tested with Python 3.5.2

To generate Pandas data frames based on JSON Table Schema descriptors we have to install jsontableschema-pandas plugin. To load resources from a data package as Pandas data frames use datapackage.push_datapackage function. Storage works as a container for Pandas data frames.

In order to work with Data Packages in Pandas you need to install our packages:

$ pip install datapackage
$ pip install jsontableschema-pandas

To get Data Package run following code:

import datapackage

data_url = "https://pkgstore.datahub.io/core/geo-admin1-us/latest/datapackage.json"

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

# to see datasets in this package
storage.buckets

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

In order to work with Data Packages in Python you need to install our packages:

$ pip install datapackage

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

import datapackage

dp = datapackage.DataPackage('https://pkgstore.datahub.io/core/geo-admin1-us/latest/datapackage.json')

# see metadata
print(dp.descriptor)

# get list of csv files
csvList = [dp.resources[x].descriptor['name'] for x in range(0,len(dp.resources))]
print(csvList) # ["resource name", ...]

# access csv file by the index starting 0
print(dp.resources[0].data)

To use this dataset in JavaScript, please, follow instructions below:

Install data.js module using npm:

  $ npm install data.js

Once the package is installed, use code snippet below:

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

  const path = 'https://pkgstore.datahub.io/core/geo-admin1-us/latest/datapackage.json'

  const dataset = Dataset.load(path)

  // get a data file in this dataset
  const file = dataset.resources[0]
  const data = file.stream()

In order to work with Data Packages in SQL you need to install our packages:

$ pip install datapackage
$ pip install jsontableschema-sql
$ pip install sqlalchemy

To import Data Package to your SQLite Database, run following code:

import datapackage
from sqlalchemy import create_engine

data_url = 'https://pkgstore.datahub.io/core/geo-admin1-us/latest/datapackage.json'
engine = create_engine('sqlite:///:memory:')

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

# to see datasets in this package
storage.buckets

# to execute sql command (assuming data is in "data" folder, name of resource is data and file name is data.csv)
storage._Storage__connection.execute('select * from data__data___data limit 1;').fetchall()

# description of the table columns
storage.describe('data__data___data')
Datapackage.json