提高 Mapbox GL 地理编码器的准确性
Increase Accuracy of Mapbox GL Geocoder
是否可以提高 Geocoder JSON 响应的精确度/精度？
我可以使用地图完成它，但是，使用地理编码器这是不可能的。
问题描述
为 JS 使用 Mapbox Geocoder：
<script src="https://api.mapbox.com/mapbox-gl-js/plugins/mapbox-gl-geocoder/v4.7.2/mapbox-gl-geocoder.min.js"></script>
使用教程 在没有地图的情况下使用地理编码器:
https://docs.mapbox.com/mapbox-gl-js/example/mapbox-gl-geocoder-no-map/
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Use the geocoder without a map</title>
<meta name="viewport" content="initial-scale=1,maximum-scale=1,user-scalable=no">
<link href="https://api.mapbox.com/mapbox-gl-js/v2.6.1/mapbox-gl.css" rel="stylesheet">
<script src="https://api.mapbox.com/mapbox-gl-js/v2.6.1/mapbox-gl.js"></script>
<style>
body { margin: 0; padding: 0; }
#map { position: absolute; top: 0; bottom: 0; width: 100%; }
</style>
</head>
<body>
<script src="https://api.mapbox.com/mapbox-gl-js/plugins/mapbox-gl-geocoder/v4.7.2/mapbox-gl-geocoder.min.js"></script>
<link rel="stylesheet" href="https://api.mapbox.com/mapbox-gl-js/plugins/mapbox-gl-geocoder/v4.7.2/mapbox-gl-geocoder.css" type="text/css">
<style>
#geocoder {
z-index: 1;
margin: 20px;
}
.mapboxgl-ctrl-geocoder {
min-width: 100%;
}
</style>
<div id="geocoder"></div>
<pre id="result"></pre>
<script>
mapboxgl.accessToken = 'pk.eyJ1IjoiaGVldm8iLCJhIjoiY2t2bWZkZXVqNXkzcjJvcXB0MHZyeTV1ZiJ9.d-C9xDxy9sNFiiN4klZl_w';
const geocoder = new MapboxGeocoder({
accessToken: mapboxgl.accessToken,
types: 'country,region,place,postcode,locality,neighborhood'
});
geocoder.addTo('#geocoder');
// Get the geocoder results container.
const results = document.getElementById('result');
// Add geocoder result to container.
geocoder.on('result', (e) => {
results.innerText = JSON.stringify(e.result, null, 2);
});
// Clear results container when search is cleared.
geocoder.on('clear', () => {
results.innerText = '';
});
</script>
</body>
</html>
我收到一个包含大量数据的 JSON response，我可以在发送请求之前配置一些选项。但是，我无法在以下文档中找到提高此响应准确度/精确度的选项：
https://github.com/mapbox/mapbox-gl-geocoder/blob/main/API.md
JSON 响应只有 6 位十进制数字，如下面的 Mapbox 网站示例所示，计算近距离时不可靠。
{
"type": "FeatureCollection",
"query": [
"825",
"s",
"milwaukee",
"ave",
"deerfield",
"il",
"60015"
],
"features": [{
"id": "address.4356035406756260",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 1,
"properties": {},
"text": "Milwaukee Ave",
"place_name": "825 Milwaukee Ave, Deerfield, Illinois 60015, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Deerfield, Illinois 60015, United States",
"center": [
-87.921434,
42.166602
],
"geometry": {
"type": "Point",
"coordinates": [
-87.921434,
42.166602
],
"interpolated": true,
"omitted": true
},
"address": "825",
"context": [{
"id": "neighborhood.287187",
"text": "Lake Cook Road"
},
{
"id": "postcode.13903677306297990",
"text": "60015"
},
{
"id": "place.5958304312090910",
"wikidata": "Q287895",
"text": "Deerfield"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
},
{
"id": "address.7464624790403620",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 0.5,
"properties": {},
"text": "Milwaukee Ave",
"place_name": "825 Milwaukee Ave, Wheeling, Illinois 60090, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Wheeling, Illinois 60090, United States",
"center": [
-87.910299,
42.144504
],
"geometry": {
"type": "Point",
"coordinates": [
-87.910299,
42.144504
],
"interpolated": true
},
"address": "825",
"context": [{
"id": "neighborhood.287187",
"text": "Lake Cook Road"
},
{
"id": "postcode.9418633295906190",
"text": "60090"
},
{
"id": "place.9902190947082220",
"wikidata": "Q935043",
"text": "Wheeling"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
},
{
"id": "address.6472754353404224",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 0.5,
"properties": {},
"text": "Milwaukee Avenue",
"place_name": "825 Milwaukee Avenue, Glenview, Illinois 60025, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Glenview, Illinois 60025, United States",
"center": [
-87.852677,
42.071152
],
"geometry": {
"type": "Point",
"coordinates": [
-87.852677,
42.071152
]
},
"address": "825",
"context": [{
"id": "neighborhood.275266",
"text": "Northfield Woods"
},
{
"id": "postcode.3787740186211610",
"text": "60025"
},
{
"id": "place.10211845459386970",
"wikidata": null,
"text": "Glenview"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
},
{
"id": "address.1225436500189372",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 0.5,
"properties": {},
"text": "Milwaukee Ave",
"place_name": "825 Milwaukee Ave, Buffalo Grove, Illinois 60089, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Buffalo Grove, Illinois 60089, United States",
"center": [
-87.917484,
42.158084
],
"geometry": {
"type": "Point",
"coordinates": [
-87.917484,
42.158084
],
"interpolated": true
},
"address": "825",
"context": [{
"id": "neighborhood.287187",
"text": "Lake Cook Road"
},
{
"id": "postcode.11727721238210580",
"text": "60089"
},
{
"id": "place.8589721255665070",
"wikidata": "Q967086",
"text": "Buffalo Grove"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
},
{
"id": "address.240107872738130",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 0.5,
"properties": {},
"text": "Milwaukee Avenue",
"place_name": "825 Milwaukee Avenue, Wheeling, Illinois 60090, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Wheeling, Illinois 60090, United States",
"center": [
-87.898319,
42.126289
],
"geometry": {
"type": "Point",
"coordinates": [
-87.898319,
42.126289
],
"interpolated": true,
"omitted": true
},
"address": "825",
"context": [{
"id": "neighborhood.287189",
"text": "Milwaukee Avenue"
},
{
"id": "postcode.9418633295906190",
"text": "60090"
},
{
"id": "place.9902190947082220",
"wikidata": "Q935043",
"text": "Wheeling"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
}
],
"attribution": "NOTICE: © 2018 Mapbox and its suppliers. All rights reserved. Use of this data is subject to the Mapbox Terms of Service (https://www.mapbox.com/about/maps/). This response and the information it contains may not be retained. POI(s) provided by Foursquare."
}
小数点后 6 位的精度为您提供约 10 厘米的精度。 Mapbox 正在使用 GeoJSON 规范，该规范对精度有以下建议：
The size of a GeoJSON text in bytes is a major interoperability
consideration, and precision of coordinate values has a large impact
on the size of texts. A GeoJSON text containing many detailed
Polygons can be inflated almost by a factor of two by increasing
coordinate precision from 6 to 15 decimal places. For geographic
coordinates with units of degrees, 6 decimal places (a default common
in, e.g., sprintf) amounts to about 10 centimeters, a precision well
within that of current GPS systems. Implementations should consider
the cost of using a greater precision than necessary.
支持 GPS 的智能手机在开阔天空下通常可以精确到 4.9 米（16 英尺）半径范围内。但是，它们的准确性在建筑物、桥梁和树木附近会变差。ref
下面是使用小数点后6位精度时的距离精度演示：
var lat1, lat2, lon1, lon2;
//https://www.geeksforgeeks.org/program-distance-two-points-earth/
// JavaScript program to calculate Distance Between Two Points on Earth
function distance(lat1, lat2, lon1, lon2) {
// The math module contains a function
// named toRadians which converts from
// degrees to radians.
lon1 = lon1 * Math.PI / 180;
lon2 = lon2 * Math.PI / 180;
lat1 = lat1 * Math.PI / 180;
lat2 = lat2 * Math.PI / 180;
// Haversine formula
let dlon = lon2 - lon1;
let dlat = lat2 - lat1;
let a = Math.pow(Math.sin(dlat / 2), 2) +
Math.cos(lat1) * Math.cos(lat2) *
Math.pow(Math.sin(dlon / 2), 2);
let c = 2 * Math.asin(Math.sqrt(a));
// Radius of earth is 6371 kilometers
let km = c * 6371; //kilometers
let mi = c * 3956; //miles
// calculate the result
return [(km), (mi), (km * 1000), (km * 100000)];
}
function update() {
lat1 = document.getElementById('lat1').value;
lat2 = document.getElementById('lat2').value;
lon1 = document.getElementById('lon1').value;
lon2 = document.getElementById('lon2').value;
let result = distance(lat1, lat2, lon1, lon2);
format('result1', ...result);
}
update();
function format(id, km, mi, m, cm) {
document.getElementById(id).innerHTML =
`Centimeters:\t${cm}\n` +
`Meters:\t\t${m}\n` +
`Kilometers:\t${km}\n` +
`Miles:\t\t${mi}\n`;
}
format('result2', ...distance(42.167803, 42.144516, -87.921589, -87.910345));
body {
margin: 0;
padding: 1rem;
}
input {
width: 110px;
font-size: 16px;
color: red;
}
.result {
width: 400px;
height: 5rem;
background-color: wheat;
font-size: 16px;
white-space: pre;
}
<p>Change values to update result.</p>
<label for="lat1">Latitude A:</label>
<input type="number" id="lat1" name="lat1" value="0.000000" step="0.000001" onchange="update()">
<label for="lon1">Longitude A:</label>
<input type="number" id="lon1" name="lon1" value="0.000000" step="0.000001" onchange="update()">
<br>
<label for="lat2">Latitude B:</label>
<input type="number" id="lat2" name="lat2" value="0.000001" step="0.000001" onchange="update()">
<label for="lon2">Longitude B:</label>
<input type="number" id="lon2" name="lon2" value="0.000000" step="0.000001" onchange="update()">
<div id="result1" class="result"></div>
<hr>
<p>(42.167803, -87.921589) to (42.144516, -87.910345) distance:</p>
<div id="result2" class="result"></div>
您可以在Google Maps上验证上述距离。
如果您搜索“美国伊利诺伊州”，您会得到 coordinates -89.2749461071049 40.1492928594。可能与他们收集数据的方式有关。他们从开放数据源（如 OpenStreetMap 和 NASA）和购买的专有数据源（如 DigitalGlobe）收集数据。ref. To verify, you can add new marker/location 具有更准确的坐标，并查看 API returns 是否仅提供 6 位数字或全部坐标.
是否可以提高 Geocoder JSON 响应的精确度/精度？
我可以使用地图完成它，但是，使用地理编码器这是不可能的。
问题描述
为 JS 使用 Mapbox Geocoder：
<script src="https://api.mapbox.com/mapbox-gl-js/plugins/mapbox-gl-geocoder/v4.7.2/mapbox-gl-geocoder.min.js"></script>
使用教程 在没有地图的情况下使用地理编码器:
https://docs.mapbox.com/mapbox-gl-js/example/mapbox-gl-geocoder-no-map/
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Use the geocoder without a map</title>
<meta name="viewport" content="initial-scale=1,maximum-scale=1,user-scalable=no">
<link href="https://api.mapbox.com/mapbox-gl-js/v2.6.1/mapbox-gl.css" rel="stylesheet">
<script src="https://api.mapbox.com/mapbox-gl-js/v2.6.1/mapbox-gl.js"></script>
<style>
body { margin: 0; padding: 0; }
#map { position: absolute; top: 0; bottom: 0; width: 100%; }
</style>
</head>
<body>
<script src="https://api.mapbox.com/mapbox-gl-js/plugins/mapbox-gl-geocoder/v4.7.2/mapbox-gl-geocoder.min.js"></script>
<link rel="stylesheet" href="https://api.mapbox.com/mapbox-gl-js/plugins/mapbox-gl-geocoder/v4.7.2/mapbox-gl-geocoder.css" type="text/css">
<style>
#geocoder {
z-index: 1;
margin: 20px;
}
.mapboxgl-ctrl-geocoder {
min-width: 100%;
}
</style>
<div id="geocoder"></div>
<pre id="result"></pre>
<script>
mapboxgl.accessToken = 'pk.eyJ1IjoiaGVldm8iLCJhIjoiY2t2bWZkZXVqNXkzcjJvcXB0MHZyeTV1ZiJ9.d-C9xDxy9sNFiiN4klZl_w';
const geocoder = new MapboxGeocoder({
accessToken: mapboxgl.accessToken,
types: 'country,region,place,postcode,locality,neighborhood'
});
geocoder.addTo('#geocoder');
// Get the geocoder results container.
const results = document.getElementById('result');
// Add geocoder result to container.
geocoder.on('result', (e) => {
results.innerText = JSON.stringify(e.result, null, 2);
});
// Clear results container when search is cleared.
geocoder.on('clear', () => {
results.innerText = '';
});
</script>
</body>
</html>
我收到一个包含大量数据的 JSON response，我可以在发送请求之前配置一些选项。但是，我无法在以下文档中找到提高此响应准确度/精确度的选项：
https://github.com/mapbox/mapbox-gl-geocoder/blob/main/API.md
JSON 响应只有 6 位十进制数字，如下面的 Mapbox 网站示例所示，计算近距离时不可靠。
{
"type": "FeatureCollection",
"query": [
"825",
"s",
"milwaukee",
"ave",
"deerfield",
"il",
"60015"
],
"features": [{
"id": "address.4356035406756260",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 1,
"properties": {},
"text": "Milwaukee Ave",
"place_name": "825 Milwaukee Ave, Deerfield, Illinois 60015, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Deerfield, Illinois 60015, United States",
"center": [
-87.921434,
42.166602
],
"geometry": {
"type": "Point",
"coordinates": [
-87.921434,
42.166602
],
"interpolated": true,
"omitted": true
},
"address": "825",
"context": [{
"id": "neighborhood.287187",
"text": "Lake Cook Road"
},
{
"id": "postcode.13903677306297990",
"text": "60015"
},
{
"id": "place.5958304312090910",
"wikidata": "Q287895",
"text": "Deerfield"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
},
{
"id": "address.7464624790403620",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 0.5,
"properties": {},
"text": "Milwaukee Ave",
"place_name": "825 Milwaukee Ave, Wheeling, Illinois 60090, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Wheeling, Illinois 60090, United States",
"center": [
-87.910299,
42.144504
],
"geometry": {
"type": "Point",
"coordinates": [
-87.910299,
42.144504
],
"interpolated": true
},
"address": "825",
"context": [{
"id": "neighborhood.287187",
"text": "Lake Cook Road"
},
{
"id": "postcode.9418633295906190",
"text": "60090"
},
{
"id": "place.9902190947082220",
"wikidata": "Q935043",
"text": "Wheeling"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
},
{
"id": "address.6472754353404224",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 0.5,
"properties": {},
"text": "Milwaukee Avenue",
"place_name": "825 Milwaukee Avenue, Glenview, Illinois 60025, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Glenview, Illinois 60025, United States",
"center": [
-87.852677,
42.071152
],
"geometry": {
"type": "Point",
"coordinates": [
-87.852677,
42.071152
]
},
"address": "825",
"context": [{
"id": "neighborhood.275266",
"text": "Northfield Woods"
},
{
"id": "postcode.3787740186211610",
"text": "60025"
},
{
"id": "place.10211845459386970",
"wikidata": null,
"text": "Glenview"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
},
{
"id": "address.1225436500189372",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 0.5,
"properties": {},
"text": "Milwaukee Ave",
"place_name": "825 Milwaukee Ave, Buffalo Grove, Illinois 60089, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Buffalo Grove, Illinois 60089, United States",
"center": [
-87.917484,
42.158084
],
"geometry": {
"type": "Point",
"coordinates": [
-87.917484,
42.158084
],
"interpolated": true
},
"address": "825",
"context": [{
"id": "neighborhood.287187",
"text": "Lake Cook Road"
},
{
"id": "postcode.11727721238210580",
"text": "60089"
},
{
"id": "place.8589721255665070",
"wikidata": "Q967086",
"text": "Buffalo Grove"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
},
{
"id": "address.240107872738130",
"type": "Feature",
"place_type": [
"address"
],
"relevance": 0.5,
"properties": {},
"text": "Milwaukee Avenue",
"place_name": "825 Milwaukee Avenue, Wheeling, Illinois 60090, United States",
"matching_text": "South Milwaukee Avenue",
"matching_place_name": "825 South Milwaukee Avenue, Wheeling, Illinois 60090, United States",
"center": [
-87.898319,
42.126289
],
"geometry": {
"type": "Point",
"coordinates": [
-87.898319,
42.126289
],
"interpolated": true,
"omitted": true
},
"address": "825",
"context": [{
"id": "neighborhood.287189",
"text": "Milwaukee Avenue"
},
{
"id": "postcode.9418633295906190",
"text": "60090"
},
{
"id": "place.9902190947082220",
"wikidata": "Q935043",
"text": "Wheeling"
},
{
"id": "region.3290978600358810",
"short_code": "US-IL",
"wikidata": "Q1204",
"text": "Illinois"
},
{
"id": "country.9053006287256050",
"short_code": "us",
"wikidata": "Q30",
"text": "United States"
}
]
}
],
"attribution": "NOTICE: © 2018 Mapbox and its suppliers. All rights reserved. Use of this data is subject to the Mapbox Terms of Service (https://www.mapbox.com/about/maps/). This response and the information it contains may not be retained. POI(s) provided by Foursquare."
}
小数点后 6 位的精度为您提供约 10 厘米的精度。 Mapbox 正在使用 GeoJSON 规范，该规范对精度有以下建议：
The size of a GeoJSON text in bytes is a major interoperability consideration, and precision of coordinate values has a large impact on the size of texts. A GeoJSON text containing many detailed Polygons can be inflated almost by a factor of two by increasing coordinate precision from 6 to 15 decimal places. For geographic coordinates with units of degrees, 6 decimal places (a default common in, e.g., sprintf) amounts to about 10 centimeters, a precision well within that of current GPS systems. Implementations should consider the cost of using a greater precision than necessary.
支持 GPS 的智能手机在开阔天空下通常可以精确到 4.9 米（16 英尺）半径范围内。但是，它们的准确性在建筑物、桥梁和树木附近会变差。ref
下面是使用小数点后6位精度时的距离精度演示：
var lat1, lat2, lon1, lon2;
//https://www.geeksforgeeks.org/program-distance-two-points-earth/
// JavaScript program to calculate Distance Between Two Points on Earth
function distance(lat1, lat2, lon1, lon2) {
// The math module contains a function
// named toRadians which converts from
// degrees to radians.
lon1 = lon1 * Math.PI / 180;
lon2 = lon2 * Math.PI / 180;
lat1 = lat1 * Math.PI / 180;
lat2 = lat2 * Math.PI / 180;
// Haversine formula
let dlon = lon2 - lon1;
let dlat = lat2 - lat1;
let a = Math.pow(Math.sin(dlat / 2), 2) +
Math.cos(lat1) * Math.cos(lat2) *
Math.pow(Math.sin(dlon / 2), 2);
let c = 2 * Math.asin(Math.sqrt(a));
// Radius of earth is 6371 kilometers
let km = c * 6371; //kilometers
let mi = c * 3956; //miles
// calculate the result
return [(km), (mi), (km * 1000), (km * 100000)];
}
function update() {
lat1 = document.getElementById('lat1').value;
lat2 = document.getElementById('lat2').value;
lon1 = document.getElementById('lon1').value;
lon2 = document.getElementById('lon2').value;
let result = distance(lat1, lat2, lon1, lon2);
format('result1', ...result);
}
update();
function format(id, km, mi, m, cm) {
document.getElementById(id).innerHTML =
`Centimeters:\t${cm}\n` +
`Meters:\t\t${m}\n` +
`Kilometers:\t${km}\n` +
`Miles:\t\t${mi}\n`;
}
format('result2', ...distance(42.167803, 42.144516, -87.921589, -87.910345));
body {
margin: 0;
padding: 1rem;
}
input {
width: 110px;
font-size: 16px;
color: red;
}
.result {
width: 400px;
height: 5rem;
background-color: wheat;
font-size: 16px;
white-space: pre;
}
<p>Change values to update result.</p>
<label for="lat1">Latitude A:</label>
<input type="number" id="lat1" name="lat1" value="0.000000" step="0.000001" onchange="update()">
<label for="lon1">Longitude A:</label>
<input type="number" id="lon1" name="lon1" value="0.000000" step="0.000001" onchange="update()">
<br>
<label for="lat2">Latitude B:</label>
<input type="number" id="lat2" name="lat2" value="0.000001" step="0.000001" onchange="update()">
<label for="lon2">Longitude B:</label>
<input type="number" id="lon2" name="lon2" value="0.000000" step="0.000001" onchange="update()">
<div id="result1" class="result"></div>
<hr>
<p>(42.167803, -87.921589) to (42.144516, -87.910345) distance:</p>
<div id="result2" class="result"></div>
您可以在Google Maps上验证上述距离。
如果您搜索“美国伊利诺伊州”，您会得到 coordinates -89.2749461071049 40.1492928594。可能与他们收集数据的方式有关。他们从开放数据源（如 OpenStreetMap 和 NASA）和购买的专有数据源（如 DigitalGlobe）收集数据。ref. To verify, you can add new marker/location 具有更准确的坐标，并查看 API returns 是否仅提供 6 位数字或全部坐标.