Exemplo n.º 1
0
def zoom_search(lat, lon):
    """    search the nearest city by lat and lon    """
    # generate search areas, nine blocks search
    grid_lat = round_prec(lat)
    lats = [grid_lat - grid_size, grid_lat, grid_lat + grid_size]
    grid_lon = round_prec(lon)
    lons = [grid_lon - grid_size, grid_lon, grid_lon + grid_size]
    keys = itertools.product(lats, lons)

    # find the most suitable key
    results = []
    for key in keys:
        klat, klon = key
        city_key = "{0},{1}".format(klat, klon)
        try:
            city_list = city_grids[city_key]
        except KeyError:
            continue 
        for city in city_list:
            name, clat, clon = city
            gcd_error_distance = gcd_dist.calc_dist_degree(clat, clon, lat, lon)
            results.append((name, gcd_error_distance))
    if len(results) > 0:
        sorted_results = sorted(results, key = lambda k:k[1])
        return sorted_results[0]
    else:
        return (None, None)
Exemplo n.º 2
0
def zoom_search(lat, lon):
    """    search the nearest city by lat and lon    """
    # generate search areas, nine blocks search
    grid_lat = round_prec(lat)
    lats = [grid_lat - grid_size, grid_lat, grid_lat + grid_size]
    grid_lon = round_prec(lon)
    lons = [grid_lon - grid_size, grid_lon, grid_lon + grid_size]
    keys = itertools.product(lats, lons)

    # find the most suitable key
    results = []
    for key in keys:
        klat, klon = key
        city_key = "{0},{1}".format(klat, klon)
        try:
            city_list = city_grids[city_key]
        except KeyError:
            continue 
        for city in city_list:
            name, clat, clon = city
            gcd_error_distance = gcd_dist.calc_dist_degree(clat, clon, lat, lon)
            results.append((name, gcd_error_distance))
    if len(results) > 0:
        sorted_results = sorted(results, key = lambda k:k[1])
        return sorted_results[0]
    else:
        return (None, None)
Exemplo n.º 3
0
            results.append((name, gcd_error_distance))
    if len(results) > 0:
        sorted_results = sorted(results, key = lambda k:k[1])
        return sorted_results[0]
    else:
        return (None, None)

def lookup_city(lat, lon):
    city, offset_distance = zoom_search(lat, lon)
    if city:
        return city
    else:
        return None

def lookup_coords(city):
    if city in city_info:
        lat, lon = city_info[city][:2]
        return lat, lon
    else:
        return None
    
city_info = load_city_info()
city_grids = build_city_grids(city_info)

if __name__ == "__main__":
    print zoom_search(44.86503177,-85.51900375)
    print zoom_search(54.64403, -2.69027)
    print zoom_search(53.76667, -2.71667)
    print gcd_dist.calc_dist_degree(54.64403, -2.69027, 53.76667, -2.71667)
    print zoom_search(4.77742, 7.0134)
Exemplo n.º 4
0
            results.append((name, gcd_error_distance))
    if len(results) > 0:
        sorted_results = sorted(results, key = lambda k:k[1])
        return sorted_results[0]
    else:
        return (None, None)

def lookup_city(lat, lon):
    city, offset_distance = zoom_search(lat, lon)
    if city:
        return city
    else:
        return None

def lookup_coords(city):
    if city in city_info:
        lat, lon = city_info[city][:2]
        return lat, lon
    else:
        return None
    
city_info = load_city_info()
city_grids = build_city_grids(city_info)

if __name__ == "__main__":
    print zoom_search(44.86503177,-85.51900375)
    print zoom_search(54.64403, -2.69027)
    print zoom_search(53.76667, -2.71667)
    print gcd_dist.calc_dist_degree(54.64403, -2.69027, 53.76667, -2.71667)
    print zoom_search(4.77742, 7.0134)