Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with
or
.
Download ZIP
Mapnik vector tile-based geocoder with support for swappable data sources
JavaScript

Fetching latest commit…

Cannot retrieve the latest commit at this time

Failed to load latest commit information.
fixtures
scripts
static
test
.gitignore
README.md
index.js
package.json
server.js

README.md

carmen

UTFGrid/MBTiles-based geocoder with support for swappable data sources.

Install

npm install && ./scripts/install-dbs.sh

Installs dependencies and downloads the default tiles indexes (about 1GB of data).

Usage

npm start

Runs an example geocoding server at http://localhost:3000.

Tests

npm test

Requires mocha. Run npm install -g mocha to install it globally.

API

var Carmen = require('carmen');
var carmen = new Carmen();
carmen.geocode('Washington, DC', function(err, data) {
    console.log(data);
});

new Carmen(options)

Create a new Carmen object. Takes a hash of index objects to use, keyed by each id. Each index object should resemble the following:

myindex: {
  // Required. MBTiles instance to be used.
  source: new MBTiles('./myindex.mbtiles'),

  // Optional. Set to `false` to skip this index for token queries.
  query: true,

  // Optional. Set to `false` to exclude this index from contexts.
  context: true,

  // Optional. Search weight. Higher = greater priority.
  weight: 2,

  // Optional. Return a value to break ties between results. Higher values beat lower.
  sortBy: function(data) { return data.myKey; },

  // Optional. Token filter. Return false to skip querying this index.
  filter: function(token) { return true; },

  // Optional. Map the feature data to a different output format.
  map: function(data) { return data; }
}

If called with no arguments the default index objects are used.

carmen.geocode([string], callback)

Geocode a string query. The result is passed to callback(err, data) in the following form:

{
  query: ['washington', 'dc'],
  results: [
    [
      {
        lat: 38.8951148,
        lon: -77.0363716000006,
        name: 'Washington',
        type: 'city'
      },
      {
        lat: 38.9108045088125,
        lon: -77.0096131357235,
        name: 'District of Columbia',
        type: 'province'
      },
      {
        lat: 51.1974842447091,
        lon: -119.265098284354,
        name: 'United States of America',
        type: 'country'
      }
    ]
  ]
}

Each array in results contains a match for the query, where the first feature in each match contains the matching element and subsequent elements describe other geographic features containing the first element.

carmen.geocode() can also be called with a pair of coordinates in the form lon,lat to do "reverse" geocoding. The result data is identical for a reverse geocoding query.

Indexes

Each carmen index is an MBTiles file with an additional SQLite fulltext search table carmen. The table can be added by running

./scripts/addindex.sh MBTILES [SEARCH-FIELD]

The only requirement for a carmen MBTiles file is that it contains grids and features with a field suitable for use as search terms. Any additional keys included with features will be automatically passed through to the results. The following fields have special meaning to carmen if present:

  • lon - longitude of the feature. If omitted, lon is calculated from the UTFGrid.
  • lat - latitude of the feature. If omitted, lat is calculated from the UTFGrid.
  • type - type of feature. If omitted, the index key is used.
  • score - numeric score. If present, used by the default sortBy function to sort results.

Note that the UTFGrid-based centroid calculation for polygon features is currently very rough. Providing a more accurate lon/lat pair for these features is more performant and recommended.

Designing for carmen in TileMill

Here are some guidelines if you are creating an MBTiles specifically for carmen in TileMill:

  • Only the highest zoom level of an MBTiles is used by carmen. To save on disk space and render time you will probably want to export only the highest zoom level of your map.
  • Since carmen uses the rendered UTFGrid you should ensure that the zoom level of your map is high enough to get the precision you need.
  • The field you use for search terms (by default search) can contain comma separated "synonyms". For example, a value of United States, America will allow searches for either United States or America to both match the same feature.
  • Image tiles in your MBTiles can be helpful for debugging but are not strictly necessary. To remove them and reclaim space:

    sqlite3 [mbtiles] "DELETE FROM images; UPDATE map SET tile_id = NULL; VACUUM;"
    

Default indexes

Four index files (country/province/place/zipcode) are provided by default with carmen. Their TileMill projects are available in the data branch.

  • ne-countries - countries, from Natural Earth. Public domain.
  • ne-provinces - provinces, from Natural Earth. Public domain.
  • osm-places - places (cities/towns/villages/etc.), OpenStreetMap and contributors. CC-by-SA.
  • tiger-zipcodes- US zipcodes, from TIGER. Public domain.

Two other projects are available in the data branch:

  • flickr-places - places (localities), from Flickr. Public domain.
  • tiger-places - places (cities/towns/villages/etc.), from TIGER. Public domain.

Fully rendered and indexed copies of these sources can be downloaded at:

http://mapbox.s3.amazonaws.com/carmen/flickr-places.mbtiles
http://mapbox.s3.amazonaws.com/carmen/ne-countries.mbtiles
http://mapbox.s3.amazonaws.com/carmen/ne-provinces.mbtiles
http://mapbox.s3.amazonaws.com/carmen/osm-places.mbtiles
http://mapbox.s3.amazonaws.com/carmen/tiger-zipcodes.mbtiles
http://mapbox.s3.amazonaws.com/carmen/tiger-places.mbtiles

Known issues

  • Cyrillic UTF-8 characters are not supported by the SQLite3 simple tokenizer. This issue can be fixed by compiling SQLite3 with libicu support. See issue #1.
  • Very small features in the default datasources are lost during the rasterization process because of the 4x4 resolution of the UTFGrid renderer. See issue #2.
  • Discrepancies between default datasources sometimes assign the wrong context to a feature. For example, the rough administrative boundaries of natural earth place the OSM point for "El Paso" in Mexico rather than Texas. See issue #3.
Something went wrong with that request. Please try again.