100个点位的坐标系数组，如何按照距离近的均分10组，每组10个坐标点呢？

先按距离排序，再array_chunk

Redis GEO

因评论太长，你给的坐标点我只贴了20个，你自己拿着代码测

<?php

$points = '[{"lat":35.874896945057856,"lng":120.0464390775317},{"lat":35.88588325548392,"lng":119.99590712196652},{"lat":35.951515,"lng":120.21981},{"lat":35.884468,"lng":120.02675},{"lat":36.0084114074707,"lng":119.71817016601562},{"lat":35.897594,"lng":120.03817},{"lat":35.970177,"lng":120.23091},{"lat":36.06714,"lng":120.119095},{"lat":35.90232,"lng":120.034294},{"lat":35.965301513671875,"lng":120.22760772705078},{"lat":35.89666,"lng":120.037224},{"lat":35.97272012635486,"lng":120.14654847991817},{"lat":35.964363,"lng":120.223564},{"lat":35.83966827392578,"lng":119.98360443115234},{"lat":35.99657440185547,"lng":119.89422607421876},{"lat":35.94984436035156,"lng":120.15196228027344},{"lat":35.9611,"lng":120.18144},{"lat":35.66075,"lng":119.57073},{"lat":35.934139251708984,"lng":120.13544464111328},{"lat":36.10059,"lng":120.10494}]';
$points = json_decode($points, true);

// step1 求得N个坐标点的中心点
$center = getPointsCenter($points);
echo 'N个坐标点的中心点: ' . json_encode($center) . PHP_EOL;

// step2 计算每个点与中心点的距离
foreach ($points as $key => $point) {
    $points[$key]['distance'] = getDistance($point['lng'], $point['lat'], $center[1], $center[0], 1);
}

// step3 根据距离升序排序
array_multisort(array_column($points, 'distance'), SORT_ASC, $points);

// step4 切割数组
$result = array_chunk($points, 10);
var_dump($result);

/**
 * 返回中心点的数组[纬度lat,经度lng]
 * @param array $points eg. [{"lat":35.88,"lng":119.99}]
 * @return float[]|int[]
 */
function getPointsCenter($points)
{
    $PI = pi();
    $x = $y = $z = 0;
    foreach ($points as $point) {
        if (empty($point['lat']) || empty($point['lng'])) {
            continue;
        }
        $lat = $point['lat'] * $PI / 180.0;
        $lng = $point['lng'] * $PI / 180.0;

        $x += cos($lat) * cos($lng);
        $y += cos($lat) * sin($lng);
        $z += sin($lat);
    }
    $count = count($points);
    $x = $x / $count;
    $y = $y / $count;
    $z = $z / $count;

    $tmp_lng = atan2($y, $x);
    $tmp_lat = atan2($z, sqrt($x * $x + $y * $y));

    return [$tmp_lat * 180 / $PI, $tmp_lng * 180 / $PI];
}

/**
 * 计算两点地理坐标之间的距离
 * @param string $longitude1 起点经度
 * @param string $latitude1 起点纬度
 * @param string $longitude2 终点经度
 * @param string $latitude2 终点纬度
 * @param Int $unit 单位 1:米 2:公里
 * @param Int $decimal 精度 保留小数位数
 * @return float
 */
function getDistance($longitude1, $latitude1, $longitude2, $latitude2, $unit = 2, $decimal = 2)
{
    $EARTH_RADIUS = 6370.996; // 地球半径系数
    $PI = pi();

    $radLat1 = $latitude1 * $PI / 180.0;
    $radLat2 = $latitude2 * $PI / 180.0;

    $radLng1 = $longitude1 * $PI / 180.0;
    $radLng2 = $longitude2 * $PI / 180.0;

    $a = $radLat1 - $radLat2;
    $b = $radLng1 - $radLng2;

    $distance = 2 * asin(sqrt(pow(sin($a / 2), 2) + cos($radLat1) * cos($radLat2) * pow(sin($b / 2), 2)));
    $distance = $distance * $EARTH_RADIUS * 1000;

    if ($unit == 2) {
        $distance = $distance / 1000;
    }

    return round($distance, $decimal);
}

这样的分布方式，怎么算啊

已实现

public function redisGeo(Request $request){
        $client = new Client(config('database.redis.default'));
        $stores = Store::whereIn('id',$request['stores'])->where('is_hidden','F')->get(['id','location','title']);
        $users=$request['users'];
        $response=$this->getStore($stores,$users,$client);
        return $response;

    }
    public function getStore($stores,$users,$client){
        $num=intval(count($stores)/count($users));
        $response=[];
        foreach ($users as $user){
            $data=[];
            foreach ($stores as $store){
                $location = json_decode($store['location'],true);
                $client->geoadd("store" ,$location['lng'],$location['lat'],$store['id']);
                $distance = $client->geodist('store',$stores[0]['id'],$store['id'],'km');
                $data[] = [
                    'id' => $store['id'],
                    'distance' => number_format($distance,2),
                    'location'=>$store['location'],
                    'title'=>$store['title']
                ];
            }
            $sort=array_column($data, 'distance');
            array_multisort($sort, SORT_ASC, $data);
            $any=array_splice($data,$num);
            $response[]=[
                'user_id'=>$user,
                'stores'=>$data,
                'length'=>count($data)
            ];
            $stores=$any;
        }
        return $response;
    }