MapPLZ
an easy geo data system across languages and databases
Go Package
go get github.com/mapmeld/mapplz-gomapstore.Add_Geojson_Feature(`{ "type": "Feature", "geometry": { "type": "LineString", "coordinates": [[0, 0], [10, 10]] } }`)
Docs and Source
Node Package
npm install mapplzmapstore.add(lat, lng, { key: value }, function(err, pt){ });
Docs and Source
PostGIS
Adds, updates, queries, and deletes geospatial data in PostGIS.
pt = mapstore << [ lat, lng ]pt.lat = 42.183
pt.save!
MongoDB
Adds, updates, queries, and deletes geospatial data in MongoDB.
query := make(map[string]interface{})query["key"] = "value"
results := mapstore.where(query)
No DB
Adds, updates, queries, and deletes geospatial data without any database. So scripting is OK!
mapstore.near({ lat: 40, lng: -70 }, 2, function(err, twoNearest){ });Simple
Sometimes the code doesn't look like your regular API. Parameters and types are left loose. The goal is to allow you to store your data with as little converting / ETL work as possible.
When you query the database, complexities of point-in-polygon or sort-by-distance queries are hidden inside the module.
Script or Server
If you're writing your first mapping script, you don't want to set up a server and a DB. You shouldn't need to. Just add this module.
You can always run mapstore.to_geojson or the equivalent function to export all of your data in an open format.
Readymade Maps
Export an HTML+JS map using OpenStreetMap and Leaflet.js as an embed or as a full HTML page.
Eating up all your garbage data
The Goals
Simplify mapping for developers everywhere by:- Consuming any geo data format via one ETL function
- Hiding complexity of geo queries and indexing
- Exporting in open data formats and instant interactive maps
- Supporting multiple languages and databases