1)首先,以近似值过滤SQLite数据,并减少需要在Java代码中评估的数据量。为此,请使用以下过程:
为了具有确定性的阈值并更准确地过滤数据,最好在Java代码中计算以中心点的北,西,东和南为单位的4个位置,然后轻松检查小于和等于SQL运算符(>,<)确定数据库中的点是否在该矩形中。
radius
该方法
calculateDerivedPosition(...)为你计算这些点(图片中的p1,p2,p3,p4)。
在此处输入图片说明
public static PointF calculateDerivedPosition(PointF point, double range, double bearing) { double EarthRadius = 6371000; // m double latA = Math.toRadians(point.x); double lonA = Math.toRadians(point.y); double angularDistance = range / EarthRadius; double trueCourse = Math.toRadians(bearing); double lat = Math.asin( Math.sin(latA) * Math.cos(angularDistance) + Math.cos(latA) * Math.sin(angularDistance) * Math.cos(trueCourse)); double dlon = Math.atan2( Math.sin(trueCourse) * Math.sin(angularDistance) * Math.cos(latA), Math.cos(angularDistance) - Math.sin(latA) * Math.sin(lat)); double lon = ((lonA + dlon + Math.PI) % (Math.PI * 2)) - Math.PI; lat = Math.toDegrees(lat); lon = Math.toDegrees(lon); PointF newPoint = new PointF((float) lat, (float) lon); return newPoint; }现在创建你的查询:
PointF center = new PointF(x, y);final double mult = 1; // mult = 1.1; is more reliablePointF p1 = calculateDerivedPosition(center, mult * radius, 0);PointF p2 = calculateDerivedPosition(center, mult * radius, 90);PointF p3 = calculateDerivedPosition(center, mult * radius, 180);PointF p4 = calculateDerivedPosition(center, mult * radius, 270);strWhere = " WHERe " + COL_X + " > " + String.valueOf(p3.x) + " AND " + COL_X + " < " + String.valueOf(p1.x) + " AND " + COL_Y + " < " + String.valueOf(p2.y) + " AND " + COL_Y + " > " + String.valueOf(p4.y);
+
COL_X是数据库中存储纬度值且COL_Y用于经度的列的名称。
因此,你可以得到一些近似于中心点的数据。
2)现在,你可以循环使用这些过滤后的数据,并使用以下方法确定它们是否真的在你的点附近(圆圈中):
public static boolean pointIsInCircle(PointF pointForCheck, PointF center, double radius) { if (getDistanceBetweenTwoPoints(pointForCheck, center) <= radius) return true; else return false; }public static double getDistanceBetweenTwoPoints(PointF p1, PointF p2) { double R = 6371000; // m double dLat = Math.toRadians(p2.x - p1.x); double dLon = Math.toRadians(p2.y - p1.y); double lat1 = Math.toRadians(p1.x); double lat2 = Math.toRadians(p2.x); double a = Math.sin(dLat / 2) * Math.sin(dLat / 2) + Math.sin(dLon / 2) * Math.sin(dLon / 2) * Math.cos(lat1) * Math.cos(lat2); double c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a)); double d = R * c; return d; }请享用!
我使用并定制了此参考资料并完成了它。



