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Note: This module stores all data in memory - remember that.
Search for nearby locations without DB usage.
Inspired by geo-proximity.
npm install geo-nearby
Usage of this module is fairly simple. Just include and add some data - that's it.
var Geo = require('geo-nearby');
var dataSet = [
{ i: 'Perth', g: 3149853951719405 },
{ i: 'Adelaide', g: 3243323516150966 },
{ i: 'Melbourne', g: 3244523307653507 },
{ i: 'Canberra', g: 3251896081369449 },
{ i: 'Sydney', g: 3252342838034651 },
{ i: 'Brisbane', g: 3270013708086451 }
{ i: 'Sydney', g: 3252342838034651 }
];
console.log(Geo(dataSet).nearBy(-33.87, 151.2, 5000)); // 5000 - 5km
In g
stored geohash with 52-bit precision.
If you want to change property name, you can do that with options:
var Geo = require('geo-nearby');
var dataSet = [
{ id: 1, name: 'Perth', geoHash: 3149853951719405 },
{ id: 2, name: 'Adelaide', geoHash: 3243323516150966 },
{ id: 3, name: 'Melbourne', geoHash: 3244523307653507 },
{ id: 4, name: 'Canberra', geoHash: 3251896081369449 },
{ id: 5, name: 'Sydney', geoHash: 3252342838034651 },
{ id: 6, name: 'Brisbane', geoHash: 3270013708086451 }
{ id: 7, name: 'Sydney', geoHash: 3252342838034651 }
];
console.log(Geo(dataSet, {geo: 'geoHash'}).nearBy(-33.87, 151.2, 5000));
For best performance is recommended to use the default data set syntax:
var dataSet = [
...
{ i: <id>, g: <geo hash> },
{ i: <id>, g: <geo hash> },
...
];
You can use a createCompactSet
method for creating a data set with recommended syntax of your data.
var data = [
[-35.30278, 149.14167, 'Canberra'],
[-33.86944, 151.20833, 'Sydney'],
[-37.82056, 144.96139, 'Melbourne'],
[-34.93333, 138.58333, 'Adelaide'],
[-27.46778, 153.02778, 'Brisbane'],
[-31.95306, 115.85889, 'Perth']
];
var dataSet = Geo(data).createCompactSet();
console.log(Geo(dataSet).nearBy(-33.87, 151.2, 5000));
You also can change default values for a createCompactSet
method if your data looks different.
var data = [
{"_id":1000, "name":"Arkhangel’skaya Oblast’", "country":"RU", "coord":{"lon":44, "lat":64}, "admin1":"Arkhangelskaya"},
{"_id":1001, "name":"Arkhangelsk", "country":"RU", "coord":{"lon":40.5433, "lat":64.5401}, "admin1":"Arkhangelskaya"},
{"_id":1002, "name":"Severodvinsk", "country":"RU", "coord":{"lon":39.8302, "lat":64.5635}, "admin1":"Arkhangelskaya"},
{"_id":1003, "name":"Novodvinsk", "country":"RU", "coord":{"lon":40.8122, "lat":64.4165}, "admin1":"Arkhangelskaya"},
{"_id":1004, "name":"Kotlas", "country":"RU", "coord":{"lon":46.64963, "lat":61.25745}, "admin1":"Arkhangelskaya"}
];
var dataSet = Geo(data).createCompactSet({id: '_id', lat: ['coord', 'lat'], lon: ['coord', 'lon']});
console.log(Geo(dataSet).nearBy(64.54, 40.54, 5000));
If you have a huge data it may be more wisely save them to file:
var data = JSON.parse(fs.readFileSync('./huge.data.set.file.json', 'utf8'));
Geo(data).createCompactSet({id: '_id', lat: 'lat', lon: 'lon', file: './compact.set.json'});
And then load in variable:
var dataSet = JSON.parse(fs.readFileSync('./compact.set.json', 'utf8'));
console.log(Geo(dataSet).nearBy(64.54, 40.54, 5000));
For limiting results, you have two ways:
1. Define limit in the options. That allows you to define a permanent limit for results.
console.log(Geo(dataSet, {geo: 'geo', limit: 1}).nearBy(64.54, 40.54, 5000));
var foo = Geo(dataSet, {geo: 'geo', limit: 1});
console.log(foo.nearBy(64.54, 40.54, 3000));
console.log(foo.nearBy(-33.87, 151.2, 5000));
In all these cases, the results will be limited to 1.
2. Define limit by limit()
method. That allows you to define a temporary limit for results.
console.log(Geo(dataSet, {geo: 'geo'}).limit(2).nearBy(64.54, 40.54, 5000)); //up to 2
var foo = Geo(dataSet).limit(1);
console.log(foo.nearBy(64.54, 40.54, 5000)); //up to 1
console.log(foo.nearBy(64.54, 40.54, 5000)); //no limits
var bar = Geo(dataSet, {limit: 1}).limit(10);
console.log(bar.nearBy(64.54, 40.54, 5000)); //up to 10
console.log(bar.nearBy(64.54, 40.54, 5000)); //up to 1. Options limit - permanent limit.
console.log(bar.limit(2).nearBy(64.54, 40.54, 5000)); //up to 2
For a more precise definition, you can use a range of distances. It's a bit slower but more accurate.
console.log(Geo(dataSet).limit(2).nearBy(64.54, 40.54, [250, 30000]));
Note: Don't use too small distance for start value. For values, less than 250 script execution may take too much time. 250 - 500 is usually sufficient.
Geo(dataSet, options)
- Constructor.
dataSet
- (array) - data.options
- (object) - options:
geo
- (string) - key path (by default = 'g').limit
- (integer) - limit results (by default = 0, i.e., no limits).Geo(dataSet, {geo: 'geo', limit: 1});
Geo(dataSet).createCompactSet(options)
- Method creates data set.
dataSet
- (array) - data.options
- (object) - options:
id
- (string|array) - key (name|path) (by default = 2).lat
- (string|array) - key (name|path) (by default = 0).lon
- (string|array) - key (name|path) (by default = 1).sort
- (string) - sort by geohash (by default = 'asc').file
- (string) - file path (by default = false).var dataSet = Geo(data).createCompactSet({id: ['names', 'name', 'id'], sort: 'desc'});
Geo(data).createCompactSet({id: 2, lat: 0, lon: 1, file: './compact.set.json'});
Geo(dataSet).limit(0).nearBy(lat, lon, distance)
- Method found nearby locations.
lat
- (float) - latitude.lon
- (float) - longitude.distance
- (integer|array) - distance in meters.limit()
- (integer) - limit results (by default = 0, i.e., no limits).Geo(dataSet).limit(1).nearBy(64.54, 40.54, [500, 300000]);
The MIT License (MIT)
Copyright (c) 2015 Alexey Bystrov
FAQs
Uber fast nearby locations search by coordinates. Supports GeoJSON.
The npm package geo-nearby receives a total of 130 weekly downloads. As such, geo-nearby popularity was classified as not popular.
We found that geo-nearby demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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