Python经纬度坐标转换为距离及角度的实现
_Seven° 人气:0最近项目上有这样的需求,需要依据设备的经纬度坐标计算距离及角度。经验证后效果较好,并分享。
1 经纬度转换距离代码
#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'Seven' import math # 计算距离 def getDistance(latA, lonA, latB, lonB): ra = 6378140 # 赤道半径 rb = 6356755 # 极半径 flatten = (ra - rb) / ra # Partial rate of the earth # change angle to radians radLatA = math.radians(latA) radLonA = math.radians(lonA) radLatB = math.radians(latB) radLonB = math.radians(lonB) pA = math.atan(rb / ra * math.tan(radLatA)) pB = math.atan(rb / ra * math.tan(radLatB)) x = math.acos(math.sin(pA) * math.sin(pB) + math.cos(pA) * math.cos(pB) * math.cos(radLonA - radLonB)) c1 = (math.sin(x) - x) * (math.sin(pA) + math.sin(pB)) ** 2 / math.cos(x / 2) ** 2 c2 = (math.sin(x) + x) * (math.sin(pA) - math.sin(pB)) ** 2 / math.sin(x / 2) ** 2 dr = flatten / 8 * (c1 - c2) distance = ra * (x + dr) distance = round(distance / 1000, 4) return f'{distance}km'
2 经纬度转化角度代码
#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'Seven' import math # 计算角度 def getDegree(latA, lonA, latB, lonB): radLatA = math.radians(latA) radLonA = math.radians(lonA) radLatB = math.radians(latB) radLonB = math.radians(lonB) dLon = radLonB - radLonA y = math.sin(dLon) * math.cos(radLatB) x = math.cos(radLatA) * math.sin(radLatB) - math.sin(radLatA) * math.cos(radLatB) * math.cos(dLon) brng = math.degrees(math.atan2(y, x)) brng = round((brng + 360) % 360, 4) brng = int(brng) if (brng == 0.0) or ((brng == 360.0)): return '正北方向' elif brng == 90.0: return '正东方向' elif brng == 180.0: return '正南方向' elif brng == 270.0: return '正西方向' elif 0 < brng < 90: return f'北偏东{brng}' elif 90 < brng < 180: return f'东偏南{brng - 90}' elif 180 < brng < 270: return f'西偏南{270 - brng}' elif 270 < brng < 360: return f'北偏西{brng - 270}' else: pass
3 验证
选取深圳野生动物园(22.599578, 113.973129)为起点,深圳坪山站(22.6986848, 114.3311032)为终点,结合百度地图、谷歌地图等进行效果验证。
程序运行结果如下:
百度测距为38.3km
Google地图手动测距为39.31km
距离与角度均无问题。
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