从 GPS 捕捉到道路的 GEO 位置绘制路径
draw a path from GEO locations from GPS snapped to road
我在数据库中记录了一些来自 GPS 的点,当我将其绘制为折线时,形成了一条丑陋的路径。
我试着做了一个snap to road by google service;它在小路径中得到了一个准确的路径,因为它只有 100 个点的限制,我有 900 多个。
然后我尝试了OSRM matching-service。它取决于 OSM 数据,但不像 google 地图那样更新;该路线的原始点路径错误
有没有其他方法可以使它在正确的道路上顺利行驶?
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我的第一个想法是运行点通过一个直线简化算法(像Douglas-Peucker)。
我用你的积分做了这个:
- 运行 通过 Douglas-Peuker 的分数
- 将它们以 100 个为一组发送到 snap to route API
- 在地图上显示了三个生成的多段线
结果
- snap to road 不太擅长简化线路,喜欢挑st运行ge routes
- 我不得不使用 0.5 的 tole运行ce 来获得合理的结果(这仅将输入数据减少了 2 倍)。对于某些数据集,我可以使用 1、10 甚至 30 的 tole运行ce,这确实减少了需要发送到 Roads API.
的数据量
fiddle displaying the results (code wouldn't fit in the answer
实现这个的代码(处理最多 300 个简化点):
var simplifiedPolylines = [];
var simplifiedPolyline;
var simplifiedPoints = [];
var map;
var rawPolyline;
function initialize() {
var mapOptions = {
center: new google.maps.LatLng(38.990842,-76.93625),
zoom: 17,
mapTypeId: google.maps.MapTypeId.ROADMAP
};
map = new google.maps.Map(document.getElementById("map_canvas"),
mapOptions);
google.maps.event.addDomListener(document.getElementById('btn'), 'click', displayPolylineData);
displayPolylineData();
}
function displayPolylineData() {
var path = [];
var bounds = new google.maps.LatLngBounds();
for (var i=0; i<rawData.length; i++) {
path.push(rawData[i]);
bounds.extend(rawData[i]);
}
if (rawPolyline && rawPolyline.setMap) {
rawPolyline.setMap(null);
}
rawPolyline = new google.maps.Polyline({
path:path,
strokeOpacity: 0.4,
strokeWeight: 4,
strokeColor: "#FF0000",
map: map
});
map.fitBounds(bounds);
document.getElementById("info").innerHTML = "before DP simplification: " + path.length + "<br>";
var DPtolerance = parseFloat(document.getElementById("tolerance").value);
var simplifiedPath = GDouglasPeucker(path, DPtolerance);
document.getElementById("info").innerHTML += "after DP simplification: " + simplifiedPath.length + "<br>";
if (simplifiedPoints && simplifiedPoints.length > 0) {
for (var i=0; i<simplifiedPoints.length; i++) {
simplifiedPoints[i].setMap(null);
}
}
if (snappedPoints && snappedPoints.length > 0) {
for (var i=0; i<snappedPoints.length; i++) {
snappedPoints[i].setMap(null);
}
}
document.getElementById('simplified').innerHTML = 'Raw Polyline<input type="checkbox" name="rawpolyline" onclick="rawPolylineCheck(this);" checked="checked" /><br>';
document.getElementById('simplified').innerHTML += 'Simplified Markers <input type="checkbox" name="simplifiedmarks" onclick="simplifiedPointCheck(this);" checked="checked" /><br>';
document.getElementById('simplified').innerHTML += 'Simplified Polyline<input type="checkbox" name="simplifiedpolyline" onclick="simplifiedPolylineCheck(this);" checked="checked" /><br>';
simplifiedPoints = [];
var htmlString = "<b>simplified coordinates:</b><br>";
for (var i=0; i<simplifiedPath.length; i++) {
var mark = new google.maps.Marker({
position: simplifiedPath[i],
map: map,
icon: {
url: "https://maps.gstatic.com/intl/en_us/mapfiles/markers2/measle_blue.png",
size: new google.maps.Size(7,7),
anchor: new google.maps.Point(3.5,3.5)
},
title: ""+i
});
simplifiedPoints.push(mark);
htmlString += mark.getPosition().toUrlValue(6)+"<br>";
}
document.getElementById("simplified_coords").innerHTML = htmlString;
if (simplifiedPolyline && simplifiedPolyline.setMap) {
simplifiedPolyline.setMap(null);
}
if (snappedPolylines && (snappedPolylines.length > 0)) {
for (var i=0; i<snappedPolylines.length; i++) {
snappedPolylines[i].setMap(null);
}
}
simplifiedPolyline = new google.maps.Polyline({
map: map,
path: simplifiedPath,
strokeOpacity: 0.8,
strokeColor: "#0000FF",
strokeWidth: 1
});
simplifiedPolylines.push(simplifiedPolyline);
runSnapToRoad(simplifiedPolyline.getPath());
}
// Snap a user-created polyline to roads and draw the snapped path
function runSnapToRoad(path) {
htmlString = "<b>snapped coordinates:</b><br>";
document.getElementById('snapped').innerHTML = 'Snapped Markers <input type="checkbox" name="snappedmarks" onclick="snappedPointCheck(this);" checked="checked" /><br>';
document.getElementById('snapped').innerHTML += 'Snapped Polyline<input type="checkbox" name="snappedpolyline" onclick="snappedPolylineCheck(this);" checked="checked" /><br>';
var pathValues = [];
var i;
for (i = 0; (i < path.getLength() && i < 100); i++) {
pathValues.push(path.getAt(i).toUrlValue());
}
var jqxhr = $.get('https://roads.googleapis.com/v1/snapToRoads', {
interpolate: true,
key: apiKey,
path: pathValues.join('|')
}, function(data) {
processSnapToRoadResponse(data);
})
.fail(function(jqXHR, textStatus, errorThrown ) {
console.log("error:"+textStatus);
console.log("errorCode:"+errorThrown.code+" errorMsg:"+errorThrown.message);
alert( "error requesting points snapped to road\n"+textStatus );
})
if (path.getLength() > 100) {
pathValues = [pathValues[pathValues.length-1]];
for (; (i < path.getLength() && i < (200-1)); i++) {
pathValues.push(path.getAt(i).toUrlValue());
}
setTimeout(function() {
var jqxhr2 = $.get('https://roads.googleapis.com/v1/snapToRoads', {
interpolate: true,
key: apiKey,
path: pathValues.join('|')
}, function(data) {
processSnapToRoadResponse(data);
})
.fail(function( jqXHR, textStatus, errorThrown ) {
console.log("error:"+textStatus);
console.log("errorCode:"+errorThrown.code+" errorMsg:"+errorThrown.message);
alert( "error requesting points snapped to road (2)\n"+textStatus );
})
}, 5000);
} else if (path.getLength() > (200-1)) {
pathValues = [pathValues[pathValues.length-1]];
for (; (i < path.getLength() && i < (300-2)); i++) {
pathValues.push(path.getAt(i).toUrlValue());
}
setTimeout(function() {
var jqxhr2 = $.get('https://roads.googleapis.com/v1/snapToRoads', {
interpolate: true,
key: apiKey,
path: pathValues.join('|')
}, function(data) {
processSnapToRoadResponse(data);
})
.fail(function( jqXHR, textStatus, errorThrown ) {
console.log("error:"+textStatus);
console.log("errorCode:"+errorThrown.code+" errorMsg:"+errorThrown.message);
alert( "error requesting points snapped to road (2)\n"+textStatus );
})
}, 10000);
}
}
// Store snapped polyline returned by the snap-to-road method.
function processSnapToRoadResponse(data) {
snappedCoordinates = [];
var placeIdArray = [];
for (var i = 0; i < data.snappedPoints.length; i++) {
var latlng = new google.maps.LatLng(
data.snappedPoints[i].location.latitude,
data.snappedPoints[i].location.longitude);
snappedCoordinates.push(latlng);
placeIdArray.push({placeId: data.snappedPoints[i].placeId,
location: latlng,
originalIndex: data.snappedPoints[i].originalIndex});
}
drawSnappedPolyline(snappedCoordinates, placeIdArray);
}
// Draws the snapped polyline (after processing snap-to-road response).
var snappedPolylines = [];
function drawSnappedPolyline(snappedCoordinates, placeIdArray) {
var snappedPolyline = new google.maps.Polyline({
path: snappedCoordinates,
strokeColor: 'black',
strokeWeight: 3
});
snappedPolylines.push(snappedPolyline);
for (var i=0; i<snappedCoordinates.length; i++) {
var mark = new google.maps.Marker({
position: snappedCoordinates[i],
map: map,
icon: {
url: "https://maps.gstatic.com/intl/en_us/mapfiles/markers2/measle.png",
size: new google.maps.Size(7,7),
anchor: new google.maps.Point(3.5,3.5)
},
_index: i,
title: ""+i
});
htmlString += mark.getPosition().toUrlValue(6)+"<br>";
google.maps.event.addListener(mark, 'click', function(evt){
infowindow.setContent("mark "+this._index+"<br>origIdx: "+placeIdArray[this._index].originalIndex+"<br>placeId: "+placeIdArray[this._index].placeId+"<br>location: "+placeIdArray[this._index].location);
infowindow.open(map, this);
});
snappedPoints.push(mark);
}
snappedPolyline.setMap(map);
document.getElementById("snapped_coords").innerHTML = htmlString;
}
google.maps.event.addDomListener(window, 'load', initialize);
var snappedPoints = [];
function snappedPointCheck(cb) {
var arg;
if (cb.checked) {
arg=map;
} else {
arg=null;
}
for (var i=0; i<snappedPoints.length; i++) {
snappedPoints[i].setMap(arg);
}
}
function snappedPolylineCheck(cb) {
for (var i=0; i<snappedPolylines.length; i++) {
if (cb.checked) {
snappedPolylines[i].setMap(map);
} else {
snappedPolylines[i].setMap(null);
}
}
}
function simplifiedPointCheck(cb) {
var arg;
if (cb.checked) {
arg=map;
} else {
arg=null;
}
for (var i=0; i<simplifiedPoints.length; i++) {
simplifiedPoints[i].setMap(arg);
}
}
function simplifiedPolylineCheck(cb) {
for (var i=0; i<simplifiedPolylines.length; i++) {
if (cb.checked) {
simplifiedPolylines[i].setMap(map);
} else {
simplifiedPolylines[i].setMap(null);
}
}
}
function rawPolylineCheck(cb) {
if (cb.checked) {
rawPolyline.setMap(map);
} else {
rawPolyline.setMap(null);
}
}
道格拉斯-普克:
/* Stack-based Douglas Peucker line simplification routine
returned is a reduced GLatLng array
After code by Dr. Gary J. Robinson,
Environmental Systems Science Centre,
University of Reading, Reading, UK
*/
function GDouglasPeucker (source, kink)
/* source[] Input coordinates in GLatLngs */
/* kink in metres, kinks above this depth kept */
/* kink depth is the height of the triangle abc where a-b and b-c are two consecutive line segments */
{
var n_source, n_stack, n_dest, start, end, i, sig;
var dev_sqr, max_dev_sqr, band_sqr;
var x12, y12, d12, x13, y13, d13, x23, y23, d23;
var F = ((Math.PI / 180.0) * 0.5 );
var index = new Array(); /* aray of indexes of source points to include in the reduced line */
var sig_start = new Array(); /* indices of start & end of working section */
var sig_end = new Array();
/* check for simple cases */
if ( source.length < 3 )
return(source); /* one or two points */
/* more complex case. initialize stack */
n_source = source.length;
band_sqr = kink * 360.0 / (2.0 * Math.PI * 6378137.0); /* Now in degrees */
band_sqr *= band_sqr;
n_dest = 0;
sig_start[0] = 0;
sig_end[0] = n_source-1;
n_stack = 1;
/* while the stack is not empty ... */
while ( n_stack > 0 ){
/* ... pop the top-most entries off the stacks */
start = sig_start[n_stack-1];
end = sig_end[n_stack-1];
n_stack--;
if ( (end - start) > 1 ){ /* any intermediate points ? */
/* ... yes, so find most deviant intermediate point to
either side of line joining start & end points */
x12 = (source[end].lng() - source[start].lng());
y12 = (source[end].lat() - source[start].lat());
if (Math.abs(x12) > 180.0)
x12 = 360.0 - Math.abs(x12);
x12 *= Math.cos(F * (source[end].lat() + source[start].lat()));/* use avg lat to reduce lng */
d12 = (x12*x12) + (y12*y12);
for ( i = start + 1, sig = start, max_dev_sqr = -1.0; i < end; i++ ){
x13 = (source[i].lng() - source[start].lng());
y13 = (source[i].lat() - source[start].lat());
if (Math.abs(x13) > 180.0)
x13 = 360.0 - Math.abs(x13);
x13 *= Math.cos (F * (source[i].lat() + source[start].lat()));
d13 = (x13*x13) + (y13*y13);
x23 = (source[i].lng() - source[end].lng());
y23 = (source[i].lat() - source[end].lat());
if (Math.abs(x23) > 180.0)
x23 = 360.0 - Math.abs(x23);
x23 *= Math.cos(F * (source[i].lat() + source[end].lat()));
d23 = (x23*x23) + (y23*y23);
if ( d13 >= ( d12 + d23 ) )
dev_sqr = d23;
else if ( d23 >= ( d12 + d13 ) )
dev_sqr = d13;
else
dev_sqr = (x13 * y12 - y13 * x12) * (x13 * y12 - y13 * x12) / d12;// solve triangle
if ( dev_sqr > max_dev_sqr ){
sig = i;
max_dev_sqr = dev_sqr;
}
}
if ( max_dev_sqr < band_sqr ){ /* is there a sig. intermediate point ? */
/* ... no, so transfer current start point */
index[n_dest] = start;
n_dest++;
}
else{
/* ... yes, so push two sub-sections on stack for further processing */
n_stack++;
sig_start[n_stack-1] = sig;
sig_end[n_stack-1] = end;
n_stack++;
sig_start[n_stack-1] = start;
sig_end[n_stack-1] = sig;
}
}
else{
/* ... no intermediate points, so transfer current start point */
index[n_dest] = start;
n_dest++;
}
}
/* transfer last point */
index[n_dest] = n_source-1;
n_dest++;
/* make return array */
var r = new Array();
for(var i=0; i < n_dest; i++)
r.push(source[index[i]]);
return r;
}
我在数据库中记录了一些来自 GPS 的点,当我将其绘制为折线时,形成了一条丑陋的路径。
我试着做了一个snap to road by google service;它在小路径中得到了一个准确的路径,因为它只有 100 个点的限制,我有 900 多个。
然后我尝试了OSRM matching-service。它取决于 OSM 数据,但不像 google 地图那样更新;该路线的原始点路径错误
有没有其他方法可以使它在正确的道路上顺利行驶?
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24.603698, 46.705872
24.600504, 46.70375
24.59868, 46.703018
24.596779, 46.702877
24.594982, 46.703235
24.591277, 46.704125
24.589506, 46.704589
24.587757, 46.70536
24.586741, 46.706605
24.585861, 46.708438
24.585102, 46.710384
24.585013, 46.71255
24.585597, 46.716835
24.586046, 46.718944
24.586566, 46.720944
24.587198, 46.722995
24.587925, 46.725018
24.58868, 46.72688
24.589509, 46.728704
24.591382, 46.732214
24.592413, 46.734026
24.593427, 46.735878
24.594379, 46.737648
24.595318, 46.739357
24.596395, 46.741286
24.598381, 46.744909
24.5994, 46.746742
24.600414, 46.748602
24.601338, 46.75031
24.60233, 46.752099
24.60331, 46.753869
24.605253, 46.757344
24.606352, 46.759069
24.607554, 46.760698
24.608837, 46.762192
24.610296, 46.763686
24.61327, 46.766227
24.614829, 46.767322
24.616411, 46.768266
24.618077, 46.769347
24.619637, 46.77063
24.621085, 46.772122
24.62232, 46.773677
24.624302, 46.777219
24.625059, 46.77921
24.625592, 46.78128
24.625941, 46.783421
24.626269, 46.785446
24.626605, 46.7876
我的第一个想法是运行点通过一个直线简化算法(像Douglas-Peucker)。
我用你的积分做了这个:
- 运行 通过 Douglas-Peuker 的分数
- 将它们以 100 个为一组发送到 snap to route API
- 在地图上显示了三个生成的多段线
结果
- snap to road 不太擅长简化线路,喜欢挑st运行ge routes
- 我不得不使用 0.5 的 tole运行ce 来获得合理的结果(这仅将输入数据减少了 2 倍)。对于某些数据集,我可以使用 1、10 甚至 30 的 tole运行ce,这确实减少了需要发送到 Roads API. 的数据量
fiddle displaying the results (code wouldn't fit in the answer
实现这个的代码(处理最多 300 个简化点):
var simplifiedPolylines = [];
var simplifiedPolyline;
var simplifiedPoints = [];
var map;
var rawPolyline;
function initialize() {
var mapOptions = {
center: new google.maps.LatLng(38.990842,-76.93625),
zoom: 17,
mapTypeId: google.maps.MapTypeId.ROADMAP
};
map = new google.maps.Map(document.getElementById("map_canvas"),
mapOptions);
google.maps.event.addDomListener(document.getElementById('btn'), 'click', displayPolylineData);
displayPolylineData();
}
function displayPolylineData() {
var path = [];
var bounds = new google.maps.LatLngBounds();
for (var i=0; i<rawData.length; i++) {
path.push(rawData[i]);
bounds.extend(rawData[i]);
}
if (rawPolyline && rawPolyline.setMap) {
rawPolyline.setMap(null);
}
rawPolyline = new google.maps.Polyline({
path:path,
strokeOpacity: 0.4,
strokeWeight: 4,
strokeColor: "#FF0000",
map: map
});
map.fitBounds(bounds);
document.getElementById("info").innerHTML = "before DP simplification: " + path.length + "<br>";
var DPtolerance = parseFloat(document.getElementById("tolerance").value);
var simplifiedPath = GDouglasPeucker(path, DPtolerance);
document.getElementById("info").innerHTML += "after DP simplification: " + simplifiedPath.length + "<br>";
if (simplifiedPoints && simplifiedPoints.length > 0) {
for (var i=0; i<simplifiedPoints.length; i++) {
simplifiedPoints[i].setMap(null);
}
}
if (snappedPoints && snappedPoints.length > 0) {
for (var i=0; i<snappedPoints.length; i++) {
snappedPoints[i].setMap(null);
}
}
document.getElementById('simplified').innerHTML = 'Raw Polyline<input type="checkbox" name="rawpolyline" onclick="rawPolylineCheck(this);" checked="checked" /><br>';
document.getElementById('simplified').innerHTML += 'Simplified Markers <input type="checkbox" name="simplifiedmarks" onclick="simplifiedPointCheck(this);" checked="checked" /><br>';
document.getElementById('simplified').innerHTML += 'Simplified Polyline<input type="checkbox" name="simplifiedpolyline" onclick="simplifiedPolylineCheck(this);" checked="checked" /><br>';
simplifiedPoints = [];
var htmlString = "<b>simplified coordinates:</b><br>";
for (var i=0; i<simplifiedPath.length; i++) {
var mark = new google.maps.Marker({
position: simplifiedPath[i],
map: map,
icon: {
url: "https://maps.gstatic.com/intl/en_us/mapfiles/markers2/measle_blue.png",
size: new google.maps.Size(7,7),
anchor: new google.maps.Point(3.5,3.5)
},
title: ""+i
});
simplifiedPoints.push(mark);
htmlString += mark.getPosition().toUrlValue(6)+"<br>";
}
document.getElementById("simplified_coords").innerHTML = htmlString;
if (simplifiedPolyline && simplifiedPolyline.setMap) {
simplifiedPolyline.setMap(null);
}
if (snappedPolylines && (snappedPolylines.length > 0)) {
for (var i=0; i<snappedPolylines.length; i++) {
snappedPolylines[i].setMap(null);
}
}
simplifiedPolyline = new google.maps.Polyline({
map: map,
path: simplifiedPath,
strokeOpacity: 0.8,
strokeColor: "#0000FF",
strokeWidth: 1
});
simplifiedPolylines.push(simplifiedPolyline);
runSnapToRoad(simplifiedPolyline.getPath());
}
// Snap a user-created polyline to roads and draw the snapped path
function runSnapToRoad(path) {
htmlString = "<b>snapped coordinates:</b><br>";
document.getElementById('snapped').innerHTML = 'Snapped Markers <input type="checkbox" name="snappedmarks" onclick="snappedPointCheck(this);" checked="checked" /><br>';
document.getElementById('snapped').innerHTML += 'Snapped Polyline<input type="checkbox" name="snappedpolyline" onclick="snappedPolylineCheck(this);" checked="checked" /><br>';
var pathValues = [];
var i;
for (i = 0; (i < path.getLength() && i < 100); i++) {
pathValues.push(path.getAt(i).toUrlValue());
}
var jqxhr = $.get('https://roads.googleapis.com/v1/snapToRoads', {
interpolate: true,
key: apiKey,
path: pathValues.join('|')
}, function(data) {
processSnapToRoadResponse(data);
})
.fail(function(jqXHR, textStatus, errorThrown ) {
console.log("error:"+textStatus);
console.log("errorCode:"+errorThrown.code+" errorMsg:"+errorThrown.message);
alert( "error requesting points snapped to road\n"+textStatus );
})
if (path.getLength() > 100) {
pathValues = [pathValues[pathValues.length-1]];
for (; (i < path.getLength() && i < (200-1)); i++) {
pathValues.push(path.getAt(i).toUrlValue());
}
setTimeout(function() {
var jqxhr2 = $.get('https://roads.googleapis.com/v1/snapToRoads', {
interpolate: true,
key: apiKey,
path: pathValues.join('|')
}, function(data) {
processSnapToRoadResponse(data);
})
.fail(function( jqXHR, textStatus, errorThrown ) {
console.log("error:"+textStatus);
console.log("errorCode:"+errorThrown.code+" errorMsg:"+errorThrown.message);
alert( "error requesting points snapped to road (2)\n"+textStatus );
})
}, 5000);
} else if (path.getLength() > (200-1)) {
pathValues = [pathValues[pathValues.length-1]];
for (; (i < path.getLength() && i < (300-2)); i++) {
pathValues.push(path.getAt(i).toUrlValue());
}
setTimeout(function() {
var jqxhr2 = $.get('https://roads.googleapis.com/v1/snapToRoads', {
interpolate: true,
key: apiKey,
path: pathValues.join('|')
}, function(data) {
processSnapToRoadResponse(data);
})
.fail(function( jqXHR, textStatus, errorThrown ) {
console.log("error:"+textStatus);
console.log("errorCode:"+errorThrown.code+" errorMsg:"+errorThrown.message);
alert( "error requesting points snapped to road (2)\n"+textStatus );
})
}, 10000);
}
}
// Store snapped polyline returned by the snap-to-road method.
function processSnapToRoadResponse(data) {
snappedCoordinates = [];
var placeIdArray = [];
for (var i = 0; i < data.snappedPoints.length; i++) {
var latlng = new google.maps.LatLng(
data.snappedPoints[i].location.latitude,
data.snappedPoints[i].location.longitude);
snappedCoordinates.push(latlng);
placeIdArray.push({placeId: data.snappedPoints[i].placeId,
location: latlng,
originalIndex: data.snappedPoints[i].originalIndex});
}
drawSnappedPolyline(snappedCoordinates, placeIdArray);
}
// Draws the snapped polyline (after processing snap-to-road response).
var snappedPolylines = [];
function drawSnappedPolyline(snappedCoordinates, placeIdArray) {
var snappedPolyline = new google.maps.Polyline({
path: snappedCoordinates,
strokeColor: 'black',
strokeWeight: 3
});
snappedPolylines.push(snappedPolyline);
for (var i=0; i<snappedCoordinates.length; i++) {
var mark = new google.maps.Marker({
position: snappedCoordinates[i],
map: map,
icon: {
url: "https://maps.gstatic.com/intl/en_us/mapfiles/markers2/measle.png",
size: new google.maps.Size(7,7),
anchor: new google.maps.Point(3.5,3.5)
},
_index: i,
title: ""+i
});
htmlString += mark.getPosition().toUrlValue(6)+"<br>";
google.maps.event.addListener(mark, 'click', function(evt){
infowindow.setContent("mark "+this._index+"<br>origIdx: "+placeIdArray[this._index].originalIndex+"<br>placeId: "+placeIdArray[this._index].placeId+"<br>location: "+placeIdArray[this._index].location);
infowindow.open(map, this);
});
snappedPoints.push(mark);
}
snappedPolyline.setMap(map);
document.getElementById("snapped_coords").innerHTML = htmlString;
}
google.maps.event.addDomListener(window, 'load', initialize);
var snappedPoints = [];
function snappedPointCheck(cb) {
var arg;
if (cb.checked) {
arg=map;
} else {
arg=null;
}
for (var i=0; i<snappedPoints.length; i++) {
snappedPoints[i].setMap(arg);
}
}
function snappedPolylineCheck(cb) {
for (var i=0; i<snappedPolylines.length; i++) {
if (cb.checked) {
snappedPolylines[i].setMap(map);
} else {
snappedPolylines[i].setMap(null);
}
}
}
function simplifiedPointCheck(cb) {
var arg;
if (cb.checked) {
arg=map;
} else {
arg=null;
}
for (var i=0; i<simplifiedPoints.length; i++) {
simplifiedPoints[i].setMap(arg);
}
}
function simplifiedPolylineCheck(cb) {
for (var i=0; i<simplifiedPolylines.length; i++) {
if (cb.checked) {
simplifiedPolylines[i].setMap(map);
} else {
simplifiedPolylines[i].setMap(null);
}
}
}
function rawPolylineCheck(cb) {
if (cb.checked) {
rawPolyline.setMap(map);
} else {
rawPolyline.setMap(null);
}
}
道格拉斯-普克:
/* Stack-based Douglas Peucker line simplification routine
returned is a reduced GLatLng array
After code by Dr. Gary J. Robinson,
Environmental Systems Science Centre,
University of Reading, Reading, UK
*/
function GDouglasPeucker (source, kink)
/* source[] Input coordinates in GLatLngs */
/* kink in metres, kinks above this depth kept */
/* kink depth is the height of the triangle abc where a-b and b-c are two consecutive line segments */
{
var n_source, n_stack, n_dest, start, end, i, sig;
var dev_sqr, max_dev_sqr, band_sqr;
var x12, y12, d12, x13, y13, d13, x23, y23, d23;
var F = ((Math.PI / 180.0) * 0.5 );
var index = new Array(); /* aray of indexes of source points to include in the reduced line */
var sig_start = new Array(); /* indices of start & end of working section */
var sig_end = new Array();
/* check for simple cases */
if ( source.length < 3 )
return(source); /* one or two points */
/* more complex case. initialize stack */
n_source = source.length;
band_sqr = kink * 360.0 / (2.0 * Math.PI * 6378137.0); /* Now in degrees */
band_sqr *= band_sqr;
n_dest = 0;
sig_start[0] = 0;
sig_end[0] = n_source-1;
n_stack = 1;
/* while the stack is not empty ... */
while ( n_stack > 0 ){
/* ... pop the top-most entries off the stacks */
start = sig_start[n_stack-1];
end = sig_end[n_stack-1];
n_stack--;
if ( (end - start) > 1 ){ /* any intermediate points ? */
/* ... yes, so find most deviant intermediate point to
either side of line joining start & end points */
x12 = (source[end].lng() - source[start].lng());
y12 = (source[end].lat() - source[start].lat());
if (Math.abs(x12) > 180.0)
x12 = 360.0 - Math.abs(x12);
x12 *= Math.cos(F * (source[end].lat() + source[start].lat()));/* use avg lat to reduce lng */
d12 = (x12*x12) + (y12*y12);
for ( i = start + 1, sig = start, max_dev_sqr = -1.0; i < end; i++ ){
x13 = (source[i].lng() - source[start].lng());
y13 = (source[i].lat() - source[start].lat());
if (Math.abs(x13) > 180.0)
x13 = 360.0 - Math.abs(x13);
x13 *= Math.cos (F * (source[i].lat() + source[start].lat()));
d13 = (x13*x13) + (y13*y13);
x23 = (source[i].lng() - source[end].lng());
y23 = (source[i].lat() - source[end].lat());
if (Math.abs(x23) > 180.0)
x23 = 360.0 - Math.abs(x23);
x23 *= Math.cos(F * (source[i].lat() + source[end].lat()));
d23 = (x23*x23) + (y23*y23);
if ( d13 >= ( d12 + d23 ) )
dev_sqr = d23;
else if ( d23 >= ( d12 + d13 ) )
dev_sqr = d13;
else
dev_sqr = (x13 * y12 - y13 * x12) * (x13 * y12 - y13 * x12) / d12;// solve triangle
if ( dev_sqr > max_dev_sqr ){
sig = i;
max_dev_sqr = dev_sqr;
}
}
if ( max_dev_sqr < band_sqr ){ /* is there a sig. intermediate point ? */
/* ... no, so transfer current start point */
index[n_dest] = start;
n_dest++;
}
else{
/* ... yes, so push two sub-sections on stack for further processing */
n_stack++;
sig_start[n_stack-1] = sig;
sig_end[n_stack-1] = end;
n_stack++;
sig_start[n_stack-1] = start;
sig_end[n_stack-1] = sig;
}
}
else{
/* ... no intermediate points, so transfer current start point */
index[n_dest] = start;
n_dest++;
}
}
/* transfer last point */
index[n_dest] = n_source-1;
n_dest++;
/* make return array */
var r = new Array();
for(var i=0; i < n_dest; i++)
r.push(source[index[i]]);
return r;
}