rdf2geojson

Javascript CLI and library to format RDF data using the GeoJSON-LD vocabulary into proper GeoJSON for visualization purposes. It uses JSON-LD compaction (based on a given @context) and framing (base on a given frame) to format the data into JSON-LD with the proper GeoJSON aliases.

Install it

Install it running the following command:

npm install rdf2geojson

Use it in the command line

Run rdf2geojson -h to see the usage options:

Usage: rdf2geojson-ld [options]

Options:
  -s, --source <source>      Path to source RDF file
  -q, --query <query>        Path to file containing a SPARQL CONSTRUCT query
  -e, --endpoint <endpoint>  SPARQL engine HTTP endpoint
  -o, --output <output>      Path to output file that will contain the formatted GeoJSON-LD data
  -h, --help                 display help for command

This tool allows to format either existing RDF files (both local and remote) and RDF data resulting from a given SPARQL CONSTRUCT query.

To format an existing RDF file using the GeoJSON-LD vocabulary, run the following command:

rdf2geojson -s (http://)path/to/file

To format the result of a SPARQL CONSTRUCT query, run the following command:

rdf2geojson -q path/to/query/file -e https://triplestore-address/sparql

By default, the transformed data will be written to the standard output, but a specific target path can be given with the -o parameter.

Use it as a library

Two functions are exported for formatting files and SPARQL CONSTRUCT results respectively:

import { fromRDFFile, fromQuery } from "rdf2geojson";

async function format() {
    const geojson1 = await fromRDFFile("/path/to/file.nt");

    const geojson2 = await fromQuery("/path/to/query.rq", "https://triplestore-address/sparql");
}

format();

Some real usage example can be seen in the tests.