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本工程为基于高德地图Android SDK进行封装,实现了Marker聚合效果的例子

同时用百度地图实现了同样的效果,但是去掉了动画

原工程地址:https://github.com/amap-demo/android-cluster-marker

前述

功能描述

基于3D地图SDK进行封装,在大量点需要显示的场景下可以对点进行聚合显示,提高地图响应显示效率。在之前的开源工程版本基础上做了一些修改,提高了显示速度和内存优化使用,支持的聚合点更多,效果更好。主要修改包括:

  • 将marker处理线程和聚合算法线程进行分离,提高效率。
  • 聚合过程中减少不必要的运算,提高聚合显示速度。
  • 适配新版SDK应用场景,对用到的图标,统一管理,减少内存使用和提高效率,
  • 加入了动画效果,聚合切换过程更为平滑

效果图如下

Screenshot

扫一扫安装##

Screenshot

使用方法##

###1:配置搭建AndroidSDK工程###

###2:接口使用###

  • 初始化聚合和加入元素

1:批量初始化,适合一次大量加入

List<ClusterItem> items = new ArrayList<ClusterItem>();
 //随机10000个点
 for (int i = 0; i < 10000; i++) {
     double lat = Math.random() + 39.474923;
     double lon = Math.random() + 116.027116;
     LatLng latLng = new LatLng(lat, lon, false);
     RegionItem regionItem = new RegionItem(latLng,
             "test" + i);
     items.add(regionItem);

 }
mClusterOverlay = new ClusterOverlay(mAMap, items,
         dp2px(getApplicationContext(), clusterRadius),
               getApplicationContext());

2:初始化之后,有新的聚合点加入

double lat = Math.random() + 39.474923;
double lon = Math.random() + 116.027116;

LatLng latLng1 = new LatLng(lat, lon, false);
RegionItem regionItem = new RegionItem(latLng1,
        "test");
mClusterOverlay.addClusterItem(regionItem);
  • 设置渲染render和聚合点点击事件监听
mClusterOverlay.setClusterRenderer(MainActivity.this);
mClusterOverlay.setOnClusterClickListener(MainActivity.this);
  • 自定义渲染
public Drawable getDrawAble(int clusterNum) {
    int radius = dp2px(getApplicationContext(), 80);
    if (clusterNum == 1) {
        Drawable bitmapDrawable = mBackDrawAbles.get(1);
        if (bitmapDrawable == null) {
            bitmapDrawable =
                    getApplication().getResources().getDrawable(
                    R.drawable.icon_openmap_mark);
            mBackDrawAbles.put(1, bitmapDrawable);
        }

        return bitmapDrawable;
    } else if (clusterNum < 5) {

        Drawable bitmapDrawable = mBackDrawAbles.get(2);
        if (bitmapDrawable == null) {
            bitmapDrawable = new BitmapDrawable(null, drawCircle(radius,
                    Color.argb(159, 210, 154, 6)));
            mBackDrawAbles.put(2, bitmapDrawable);
        }

        return bitmapDrawable;
    } else if (clusterNum < 10) {
        Drawable bitmapDrawable = mBackDrawAbles.get(3);
        if (bitmapDrawable == null) {
            bitmapDrawable = new BitmapDrawable(null, drawCircle(radius,
                    Color.argb(199, 217, 114, 0)));
            mBackDrawAbles.put(3, bitmapDrawable);
        }

        return bitmapDrawable;
    } else {
        Drawable bitmapDrawable = mBackDrawAbles.get(4);
        if (bitmapDrawable == null) {
            bitmapDrawable = new BitmapDrawable(null, drawCircle(radius,
                    Color.argb(235, 215, 66, 2)));
            mBackDrawAbles.put(4, bitmapDrawable);
        }

        return bitmapDrawable;
     }
}
  • 聚合点击事件
public void onClick(Marker marker, List<ClusterItem> clusterItems) {
    mClusterItems = clusterItems;
    mCenterLat = marker.getPosition();
    LatLngBounds.Builder builder = new LatLngBounds.Builder();
    for (ClusterItem clusterItem : clusterItems) {
        builder.include(clusterItem.getPosition());


    }
    LatLngBounds latLngBounds = builder.build();
    mAMap.animateCamera(CameraUpdateFactory.newLatLngBounds(latLngBounds, 0)
    );
}

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🌱在原来高德开源聚合方法上用百度地图实现

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