Skip to content

Latest commit

 

History

History
120 lines (81 loc) · 4.34 KB

README.md

File metadata and controls

120 lines (81 loc) · 4.34 KB
Raw

Geohash-poly

npm install geohash-poly

Transform a GeoJSON (Multi)Polygon to a list of geohashes that cover it.

Method used is pretty brute-force, but still relatively quick compared to alternative implementations if hash precision is not too granular. Creates an envelope around poly, and iterates over rows and columns, including relevant hashes with respect to hashMode.

Streaming

Hashes can be streamed. Each _read will generate a row of hashes into buffer, as some form of throttling. This allows massive polygons with high precision hashes to avoid memory constraint issues. If your polys have the potential to hit memory issues, use this method.

If you specify rowMode as true, such as .stream({..., rowMode: true, ...}), each chunk in the stream will be an array using streams2 objectMode.

var through2 = require('through2');

var polygon = [[[-122.350051, 47.702893 ], [-122.344774, 47.702877 ], [-122.344777, 47.70324 ], [-122.341982, 47.703234 ], [-122.341959, 47.701421 ], [-122.339749, 47.701416 ], [-122.339704, 47.69776 ], [-122.341913, 47.697797 ], [-122.341905, 47.697071 ], [-122.344576, 47.697084 ], [-122.344609, 47.697807 ], [-122.349999, 47.697822 ], [-122.350051, 47.702893 ]]];

var stream = geohashpoly.stream({
	coords: polygon,
	precision: 7,
	rowMode: true
});

stream
  .on('end', function () {
    console.log("It's all over.");
  })
  .pipe(through2(function (chunk, enc, callback) {
    console.log(chunk.toString());
    callback();
  }));

Results in the hashes spit out line by line to the console.

Standard

If you just want your hashes out in an array, use this.

var polygon = [[[-122.350051, 47.702893 ], [-122.344774, 47.702877 ], [-122.344777, 47.70324 ], [-122.341982, 47.703234 ], [-122.341959, 47.701421 ], [-122.339749, 47.701416 ], [-122.339704, 47.69776 ], [-122.341913, 47.697797 ], [-122.341905, 47.697071 ], [-122.344576, 47.697084 ], [-122.344609, 47.697807 ], [-122.349999, 47.697822 ], [-122.350051, 47.702893 ]]];

geohashpoly({coords: polygon, precision: 7}, function (err, hashes) {
	console.log(hashes);
});

Results in:

[ 'c22zrgg', 'c22zrgu', 'c22zrgv', 'c22zrgy', 'c22zrgz', 'c23p25b', 'c22zrge', 'c22zrgs', 'c22zrgt', 'c22zrgw', 'c22zrgx', 'c23p258', 'c23p259', 'c23p25d', 'c22zrg7', 'c22zrgk', 'c22zrgm', 'c22zrgq', 'c22zrgr', 'c23p252', 'c23p253', 'c23p256', 'c22zrg5', 'c22zrgh', 'c22zrgj', 'c22zrgn', 'c22zrgp', 'c23p250', 'c23p251', 'c23p254' ]

Also, integer geohashes are available.

geohashpoly({coords: polygon, precision: 34, integerMode: true}, function (err, hashes) {
    console.log(hashes);
});

Results in:

[ 5940702973,
  5940702975,
  5941052501,
  5940702972,
  5940702974,
  5941052500,
  5940702969,
  5940702971,
  5941052497,
  5940702968,
  5940702970,
  5941052496 ]

Options

  • coords: coordinate array for the geojson shape. required
  • precision: geohash precision (eg. "gfjf1" is a precision 5 geohash).
  • rowMode: allows for processing of geohashes by row.
  • hashMode: defines filtering of returned geohashes. See below.
  • integerMode: (true/false) Outputs integer versions of geohashes. Default precision for integer mode is 32 bits.

hashMode

The hashMode option can be used to specify which hashes to return. Defaults to 'inside'.

  • 'inside': return hashes whose center points fall inside the shape.
  • 'extent': return all hashes which make up the bounding box of the shape.
  • 'intersect': return all hashes that intersect with the shape. Use the 'threshold' option to specify a percentage of least coverage. See examples/streaming.js.

Command Line

You can also install as a command line util via

npm install geohash-poly -g

command line usage

Here are some examples of running it:

geohash-poly --csv=true --precision=9 --geocode=true  "[[[-122.350051, 47.702893 ], [-122.344774, 47.702877 ], [-122.344777, 47.70324 ], [-122.341982, 47.703234 ], [-122.341959, 47.701421 ], [-122.339749, 47.701416 ], [-122.339704, 47.69776 ], [-122.341913, 47.697797 ], [-122.341905, 47.697071 ], [-122.344576, 47.697084 ], [-122.344609, 47.697807 ], [-122.349999, 47.697822 ], [-122.350051, 47.702893 ]]]"

Where additional command line switches are

  • --csv=true output csv. default output is ndjson
  • --geocode=true to add the lat and lon to the output

All of the standard options are supported as well.