POI Data

Last updated 3 years ago

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POI Data

OpenStreetMap POIs

(OSM) is maybe the most extensive open data project for geo-data. It has rich information on points of interest (POIs), such as apartments, shops, or offices, globally.

Based on the original .osm files, which provides as a daily update, we parse the OSM tags and create consolidated objects.

We aggregate tags that are useful for categorization into 24 high-level categories:

administration, airport, apartment, art_culture, automobile, beauty, cafe, drinks, education, entertainment, food, groceries, medical, misc, office, public_service, public_transportation, recreation, religious_building, service, shopping, social_service, sport, tourism, wholesaler

For ways and relations, we transform the building footprint into the GeoJSON format. For address and contact details, we also consolidate the OSM tags into separate objects.

Prerequisites

Installed version of node, npm, Docker and docker-compose.

This project has dependency on . This module requires you to have the following libraries installed on your machine: git, gyp, make, cmake, and a C compiler (gcc or clang).

An easy way to run docker on your machine is using with a GUI to manage your containers.

Hints for macOS

Installation of node + npm and docker-compose via Homebrew:

brew install node, docker-compose

Setup

Install node modules in both the current folder/project and in the shared folder which is present in the root directory.

npm ci

Make sure Docker is running on your machine.

Start mongo with docker-compose

docker-compose up -d

Load OSM data into database

npm run start-processing:local

Follow the prompts to download, process and write data for a continent, country or region [2]

[1] Existing download
[2] New download
[0] Cancel

Do you want to make a new download? [1, 2, 0]: 2

[1] africa
[2] antarctica
[3] asia
[4] australia-oceania
[5] central-america
[6] europe
[7] north-america
[8] south-america
[0] Cancel

Which continent are you interested in? [1...8 / 0]:

Usage

Run the app locally.

(Data can only be returned for regions that have previously been downloaded and processed.)

npm run start-api:local

API Calls

Get POIs within Radius

Request Method: GET URL: /radius/:radius Query Params (required): h3_index OR lat, lng

Example: localhost:3001/radius/50?lat=52.5291472&lng=13.4015439

Get POIs within Polygon

Request Method: GET URL: /geojson Request Body (required): GeoJSON format

Example: localhost:3001/geojson Request Body:

    {
        "geometry": {
            "type": "Polygon",
            "coordinates": […]
        }
    }

Categories

Relevant yet unmatched OSM tags are automatically added to the category misc and then can be added to more appropriate high-level categories. When committing, also include the new tags under misc for later categorization.

License