Server-side geospatial analysis app

Built with Node JS boilerplate with Docker

Docker commands

docker-compose up The app will run in development mode and Nodemon will looking for changes in the directory and restart the app

docker container ls list containers

docker exec [name] npm test

docker exec [name] npm install eslint --global

Mongo commands

To enter Mongo shell on Docker Mongo volume, run docker exec -it mongo bash then mongo to start mongo shell. Some useful commands include show collections and use <db>.

To connect via Robo3T, connect to localhost at port 5432.

MongoDB

Must create a spatial index on geojson collection //db.collection.createIndex({'geometry': '2dsphere'});

Geojson objects in mongo must be structured like

{
    "_id" : ObjectId("582122d4a98c5c6f7b955ebf"),
    "type" : "Feature",
    "properties" : {
        "OBJECTID" : 9,
        "TYPE" : "LIB",
        "DESCRIPTION" : "GEORGE MASON REGIONAL LIBRARY",
        …
        "Editor" : "FairfaxCounty"
    },
    "geometry" : {
        "type" : "Point",
        "coordinates" : [
            -77.18621789486043,
            38.82741811639861
        ]
    }
}

which is different than how they are structured for mapbox layer