最近需要做一个需求，查看动态时需要查找附近的人动态，因此呢就研究了下Geohash算法。
一、优点：
1、利用一个字段，即可存储经纬度；搜索时，只需一条索引，效率较高
2、编码的前缀可以表示更大的区域，查找附近的，非常方便。 SQL中，LIKE 'wm3yr3%'，即可查询附近的所有地点。
二、直接上代码（Geohash算法具体可自行百度）
neighbors['right']['even'] = 'bc01fg45238967deuvhjyznpkmstqrwx';
$this->neighbors['left']['even'] = '238967debc01fg45kmstqrwxuvhjyznp';
$this->neighbors['top']['even'] = 'p0r21436x8zb9dcf5h7kjnmqesgutwvy';
$this->neighbors['bottom']['even'] = '14365h7k9dcfesgujnmqp0r2twvyx8zb';
$this->borders['right']['even'] = 'bcfguvyz';
$this->borders['left']['even'] = '0145hjnp';
$this->borders['top']['even'] = 'prxz';
$this->borders['bottom']['even'] = '028b';
$this->neighbors['bottom']['odd'] = $this->neighbors['left']['even'];
$this->neighbors['top']['odd'] = $this->neighbors['right']['even'];
$this->neighbors['left']['odd'] = $this->neighbors['bottom']['even'];
$this->neighbors['right']['odd'] = $this->neighbors['top']['even'];
$this->borders['bottom']['odd'] = $this->borders['left']['even'];
$this->borders['top']['odd'] = $this->borders['right']['even'];
$this->borders['left']['odd'] = $this->borders['bottom']['even'];
$this->borders['right']['odd'] = $this->borders['top']['even'];
for($i=0; $i<32; $i++) {
$this->codingMap[substr($this->coding, $i, 1)] = str_pad(decbin($i), 5, "0", STR_PAD_LEFT);
}
}
public function decode($hash) {
$binary = "";
$hl = strlen($hash);
for ($i=0; $i<$hl; $i++) {
$binary .= $this->codingMap[substr($hash, $i, 1)];
}
$bl = strlen($binary);
$blat = "";
$blng = "";
for ($i=0; $i<$bl; $i++) {
if ($i%2)
$blat=$blat.substr($binary, $i, 1);
else
$blng=$blng.substr($binary, $i, 1);
}
$lat = $this->binDecode($blat, -90, 90);
$lng = $this->binDecode($blng, -180, 180);
$latErr = $this->calcError(strlen($blat), -90, 90);
$lngErr = $this->calcError(strlen($blng), -180, 180);
$latPlaces = max(1, -round(log10($latErr))) - 1;
$lngPlaces = max(1, -round(log10($lngErr))) - 1;
$lat = round($lat, $latPlaces);
$lng = round($lng, $lngPlaces);
return array($lat, $lng);
}
private function calculateAdjacent($srcHash, $dir) {
$srcHash = strtolower($srcHash);
$lastChr = $srcHash[strlen($srcHash) - 1];
$type = (strlen($srcHash) % 2) ? 'odd' : 'even';
$base = substr($srcHash, 0, strlen($srcHash) - 1);
if (strpos($this->borders[$dir][$type], $lastChr) !== false) {
$base = $this->calculateAdjacent($base, $dir);
}
return $base . $this->coding[strpos($this->neighbors[$dir][$type], $lastChr)];
}
public function neighbors($srcHash) {
$geohashPrefix = substr($srcHash, 0, strlen($srcHash) - 1);
$neighbors['top'] = $this->calculateAdjacent($srcHash, 'top');
$neighbors['bottom'] = $this->calculateAdjacent($srcHash, 'bottom');
$neighbors['right'] = $this->calculateAdjacent($srcHash, 'right');
$neighbors['left'] = $this->calculateAdjacent($srcHash, 'left');
$neighbors['topleft'] = $this->calculateAdjacent($neighbors['left'], 'top');
$neighbors['topright'] = $this->calculateAdjacent($neighbors['right'], 'top');
$neighbors['bottomright'] = $this->calculateAdjacent($neighbors['right'], 'bottom');
$neighbors['bottomleft'] = $this->calculateAdjacent($neighbors['left'], 'bottom');
return $neighbors;
}
public function encode($lat, $lng) {
$plat = $this->precision($lat);
$latbits = 1;
$err = 45;
while($err > $plat) {
$latbits++;
$err /= 2;
}
$plng = $this->precision($lng);
$lngbits = 1;
$err = 90;
while($err > $plng) {
$lngbits++;
$err /= 2;
}
$bits = max($latbits, $lngbits);
$lngbits = $bits;
$latbits = $bits;
$addlng = 1;
while (($lngbits + $latbits) % 5 != 0) {
$lngbits += $addlng;
$latbits += !$addlng;
$addlng = !$addlng;
}
$blat = $this->binEncode($lat, -90, 90, $latbits);
$blng = $this->binEncode($lng, -180, 180, $lngbits);
$binary = "";
$uselng = 1;
while (strlen($blat) + strlen($blng)) {
if ($uselng) {
$binary = $binary.substr($blng, 0, 1);
$blng = substr($blng, 1);
} else {
$binary = $binary.substr($blat, 0, 1);
$blat = substr($blat, 1);
}
$uselng = !$uselng;
}
$hash = "";
for ($i=0; $icoding[$n];
}
return $hash;
}
private function calcError($bits, $min, $max) {
$err = ($max - $min) / 2;
while ($bits--)
$err /= 2;
return $err;
}
private function precision($number) {
$precision = 0;
$pt = strpos($number,'.');
if ($pt !== false) {
$precision = -(strlen($number) - $pt - 1);
}
return pow(10, $precision) / 2;
}
private function binEncode($number, $min, $max, $bitcount) {
if ($bitcount == 0)
return "";
$mid = ($min + $max) / 2;
if ($number > $mid)
return "1" . $this->binEncode($number, $mid, $max, $bitcount - 1);
else
return "0" . $this->binEncode($number, $min, $mid, $bitcount - 1);
}
private function binDecode($binary, $min, $max) {
$mid = ($min + $max) / 2;
if (strlen($binary) == 0)
return $mid;
$bit = substr($binary, 0, 1);
$binary = substr($binary, 1);
if ($bit == 1)
return $this->binDecode($binary, $mid, $max);
else
return $this->binDecode($binary, $min, $mid);
}
}
代码较长，不关心算法的情况下可以不关注具体内容，因此没写注释。
使用时需要特别注意的一点就是距离范围
具体使用方法如下：
$geo = new Geohash();
$hash = $geo->encode($lat,$lng);
//默认取4位
$prefix = substr($hash, 0, 4);
//取出相邻区域,此处为一个数组区域
$neighbors = $geo->neighbors($prefix);
//需要将当前区域放进数组中
array_push($neighbors, $prefix);
特别说明一点，距离范围问题，上述代码注释中有说明 ↑↑↑
之后使用sql like 既可以查询出附近的人的记录
然后再计算距离即可；
附距离算法：
/**
* 根据起点坐标和终点坐标测距离
* @param [array] $from [起点坐标(经纬度),例如:array(118.012951,36.810024)]
* @param [array] $to [终点坐标(经纬度)]
* @param [bool] $km 是否以公里为单位 false:米 true:公里(千米)
* @param [int] $decimal 精度 保留小数位数
* @return [string] 距离数值
* @author PwordC
*/
function get_distance($from,$to,$km=true,$decimal=2){
sort($from);
sort($to);
$EARTH_RADIUS = 6370.996; // 地球半径系数
$distance = $EARTH_RADIUS*2*asin(sqrt(pow(sin( ($from[0]*pi()/180-$to[0]*pi()/180)/2),2)+cos($from[0]*pi()/180)*cos($to[0]*pi()/180)* pow(sin( ($from[1]*pi()/180-$to[1]*pi()/180)/2),2)))*1000;
if($km){
$distance = $distance / 1000;
}
return round($distance, $decimal);
}
具体有问题可以给我留言，看到会回复。