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This is an api build with django rest framework utilizing the 2015 Population Density data at 15 minutes resolution from Gridded Population of the World (GPW), v4 dataset from NASA’s Socioeconomic Data and Applications Center (sedac)

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global_population_api

This is an API built with django rest framework utilizing the 2015 Population Density data at 15 minutes resolution from Gridded Population of the World (GPW), v4 dataset from NASA’s Socioeconomic Data and Applications Center (sedac)

Requirements

  • Django==2.0.3
  • djangorestframework==3.9.0
  • numpy==1.15.4
  • pytz==2018.7

Parameters

latutude: numeric value between -90 and 90 longitude: numeric value between -180 and 180 radius: numeric value greater than or equal to 0

Example: query

Lahore, Pakistan: Coordinates (31.5204° N, 74.3587° E) and radius 42.10 km

query: http://127.0.0.1:8000/api/v1/get_population/?latitude=31.5204&longitude=74.3587&radius=42.10

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "longitude": 74.3587,
    "latitude": 31.5204,
    "radius": 42.1,
    "population": 10166154
}

Leiden, Netherlands: Coordinates (52.1601° N, 4.4970° E) and radius 4.82 km

query: http://127.0.0.1:8000/api/v1/get_population/?latitude=52.1601&longitude=4.4970&radius=4.82

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "longitude": 4.497,
    "latitude": 52.1601,
    "radius": 4.82,
    "population": 251333
}

Note: For details of how the population for a set of coordinates and radius is evaluation, please go through the population_calculation_methodology.pdf file

About

This is an api build with django rest framework utilizing the 2015 Population Density data at 15 minutes resolution from Gridded Population of the World (GPW), v4 dataset from NASA’s Socioeconomic Data and Applications Center (sedac)

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