Php 地理坐标周围的边界
我有一组地理坐标显示在谷歌地图上。如何确定最外面的点来构建包含所有点的多边形边界 我已经知道如何创建多边形了。但我需要确定所有的外部点 所有地理坐标都在mysql数据库中。我想使用PHP来分离创建多边形所需的坐标Php 地理坐标周围的边界,php,google-maps,google-maps-api-3,geocoding,Php,Google Maps,Google Maps Api 3,Geocoding,我有一组地理坐标显示在谷歌地图上。如何确定最外面的点来构建包含所有点的多边形边界 我已经知道如何创建多边形了。但我需要确定所有的外部点 所有地理坐标都在mysql数据库中。我想使用PHP来分离创建多边形所需的坐标 我不想看如何做边界框。您可以使用delaunay三角剖分并连接凸包上的所有顶点,即查找不与相邻顶点的顶点。您可以下载我的php类凸面外壳@phpclasses.org。你也可以看看我的网站,作为一个delaunay三角剖分和基于lat lng对的凹面船体的例子。您可以使用我的示例5来查
我不想看如何做边界框。您可以使用delaunay三角剖分并连接凸包上的所有顶点,即查找不与相邻顶点的顶点。您可以下载我的php类凸面外壳@phpclasses.org。你也可以看看我的网站,作为一个delaunay三角剖分和基于lat lng对的凹面船体的例子。您可以使用我的示例5来查找lat lng对的凸包:
require_once("convex-hull.php");
//example5
$mapPadding = 100;
$mapWidth = 500;
$mapHeight = 500;
$mapLonLeft =1000;
$mapLatBottom=1000;
$mapLonRight = 0;
$mapLatTop = 0;
$set=array();
$geocoord = array ("8.6544487,50.1005233",
"8.7839489,50.0907496",
"8.1004734,50.2002273",
"8.4117234,50.0951493",
"8.3508367,49.4765982",
"9.1828630,48.7827027",
"9.1686483,48.7686426",
"9.2118466,48.7829101",
"8.9670738,48.9456327");
foreach ($geocoord as $key => $arr)
{
list($lon,$lat) = explode(",",$arr);
$mapLonLeft = min($mapLonLeft,$lon);
$mapLonRight = max($mapLonRight,$lon);
$mapLatBottom = min($mapLatBottom,$lat);
$mapLatTop = max($mapLatTop,$lat);
$set[]=array($lon,$lat);
}
$mapLonDelta = $mapLonRight-$mapLonLeft;
$mapLatDelta = $mapLatTop-$mapLatBottom;
$mapLatTopY=$mapLatTop*(M_PI/180);
$worldMapWidth=(($mapWidth/$mapLonDelta)*360)/(2*M_PI);
$LatBottomSin=min(max(sin($mapLatBottom*(M_PI/180)),-0.9999),0.9999);
$mapOffsetY=$worldMapWidth/2 * log((1+$LatBottomSin)/(1-$LatBottomSin));
$LatTopSin=min(max(sin($mapLatTop*(M_PI/180)),-0.9999),0.9999);
$mapOffsetTopY=$worldMapWidth/2 * log((1+$LatTopSin)/(1-$LatTopSin));
$mapHeightD=$mapOffsetTopY-$mapOffsetY;
$mapRatioH=$mapHeight/$mapHeightD;
$newWidth=$mapWidth*($mapHeightD/$mapHeight);
$mapRatioW=$mapWidth/$newWidth;
foreach ($set as $key => $arr)
{
list($lon,$lat) = $arr;
$tx = ($lon - $mapLonLeft) * ($newWidth/$mapLonDelta)*$mapRatioW;
$f = sin($lat*M_PI/180);
$ty = ($mapHeightD-(($worldMapWidth/2 * log((1+$f)/(1-$f)))-$mapOffsetY));
}
$chull=new convexhull();
$chull->main($set,$mapWidth,$mapHeightD);
foreach ($chull->convexhull as $key => $arr)
{
foreach ($arr as $ikey => $iarr)
{
list($x1,$y1,$x2,$y2) = $iarr;
if (abs($x1) != SUPER_TRIANGLE && abs($y1) != SUPER_TRIANGLE && abs($x2) != SUPER_TRIANGLE && abs($y2) != SUPER_TRIANGLE)
{
$ok=0;
foreach ($chull->pointset as $iikey => $iiarr)
{
if ($iiarr==array($x1,$y1))
{
$ok=1;
}
}
if ($ok)
{
solution[]=set[$iikey];
}
}
}
}
然后凸包在数组中,您需要从超三角形中删除顶点,并检查顶点是否在lat lng对中:
require_once("convex-hull.php");
//example5
$mapPadding = 100;
$mapWidth = 500;
$mapHeight = 500;
$mapLonLeft =1000;
$mapLatBottom=1000;
$mapLonRight = 0;
$mapLatTop = 0;
$set=array();
$geocoord = array ("8.6544487,50.1005233",
"8.7839489,50.0907496",
"8.1004734,50.2002273",
"8.4117234,50.0951493",
"8.3508367,49.4765982",
"9.1828630,48.7827027",
"9.1686483,48.7686426",
"9.2118466,48.7829101",
"8.9670738,48.9456327");
foreach ($geocoord as $key => $arr)
{
list($lon,$lat) = explode(",",$arr);
$mapLonLeft = min($mapLonLeft,$lon);
$mapLonRight = max($mapLonRight,$lon);
$mapLatBottom = min($mapLatBottom,$lat);
$mapLatTop = max($mapLatTop,$lat);
$set[]=array($lon,$lat);
}
$mapLonDelta = $mapLonRight-$mapLonLeft;
$mapLatDelta = $mapLatTop-$mapLatBottom;
$mapLatTopY=$mapLatTop*(M_PI/180);
$worldMapWidth=(($mapWidth/$mapLonDelta)*360)/(2*M_PI);
$LatBottomSin=min(max(sin($mapLatBottom*(M_PI/180)),-0.9999),0.9999);
$mapOffsetY=$worldMapWidth/2 * log((1+$LatBottomSin)/(1-$LatBottomSin));
$LatTopSin=min(max(sin($mapLatTop*(M_PI/180)),-0.9999),0.9999);
$mapOffsetTopY=$worldMapWidth/2 * log((1+$LatTopSin)/(1-$LatTopSin));
$mapHeightD=$mapOffsetTopY-$mapOffsetY;
$mapRatioH=$mapHeight/$mapHeightD;
$newWidth=$mapWidth*($mapHeightD/$mapHeight);
$mapRatioW=$mapWidth/$newWidth;
foreach ($set as $key => $arr)
{
list($lon,$lat) = $arr;
$tx = ($lon - $mapLonLeft) * ($newWidth/$mapLonDelta)*$mapRatioW;
$f = sin($lat*M_PI/180);
$ty = ($mapHeightD-(($worldMapWidth/2 * log((1+$f)/(1-$f)))-$mapOffsetY));
}
$chull=new convexhull();
$chull->main($set,$mapWidth,$mapHeightD);
foreach ($chull->convexhull as $key => $arr)
{
foreach ($arr as $ikey => $iarr)
{
list($x1,$y1,$x2,$y2) = $iarr;
if (abs($x1) != SUPER_TRIANGLE && abs($y1) != SUPER_TRIANGLE && abs($x2) != SUPER_TRIANGLE && abs($y2) != SUPER_TRIANGLE)
{
$ok=0;
foreach ($chull->pointset as $iikey => $iiarr)
{
if ($iiarr==array($x1,$y1))
{
$ok=1;
}
}
if ($ok)
{
solution[]=set[$iikey];
}
}
}
}
完美的这正是我需要知道的。5000或20000分的表现如何?如果我的答案是有用的,请考虑接受它。非常感谢你!?是的,我不确定接受它是否会阻止进一步的评论。谢谢你的帮助。我必须测试性能。高达2000-5000分,问题不大。但是,可以使用另一种算法将点提升到抛物面。但也可以尝试快速外壳算法:。Phpdna,快速外壳非常容易使用。不完美。谢谢你的建议。我想试试你的,但觉得有点难。它只返回图像吗?您能否分享一个传入地理坐标数组并仅返回边坐标作为数组的示例?非常感谢。