要按照位置与CLLocationCoordinate2D的接近程度对结构体的字典进行排序,可以使用Swift的sorted方法和CLLocationCoordinate2D的distance方法来实现。
首先,定义一个结构体包含位置信息和其他指定的属性:
struct Location {
var coordinate: CLLocationCoordinate2D
var name: String
// 其他属性...
}
然后,创建一个包含Location结构体的字典:
var locations: [Int: Location] = [
1: Location(coordinate: CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194), name: "San Francisco"),
2: Location(coordinate: CLLocationCoordinate2D(latitude: 34.0522, longitude: -118.2437), name: "Los Angeles"),
3: Location(coordinate: CLLocationCoordinate2D(latitude: 29.7604, longitude: -95.3698), name: "Houston")
]
接下来,定义一个函数来计算两个CLLocationCoordinate2D之间的距离:
func distance(from: CLLocationCoordinate2D, to: CLLocationCoordinate2D) -> CLLocationDistance {
let fromLocation = CLLocation(latitude: from.latitude, longitude: from.longitude)
let toLocation = CLLocation(latitude: to.latitude, longitude: to.longitude)
return fromLocation.distance(from: toLocation)
}
最后,使用sorted方法对字典进行排序,根据当前位置与每个Location的coordinate距离的接近程度进行比较:
let currentLocation = CLLocationCoordinate2D(latitude: 37.7749, longitude: -122.4194)
let sortedLocations = locations.sorted { (location1, location2) -> Bool in
let distance1 = distance(from: currentLocation, to: location1.value.coordinate)
let distance2 = distance(from: currentLocation, to: location2.value.coordinate)
return distance1 < distance2
}
for (index, location) in sortedLocations {
print("\(index): \(location.name)")
}
以上代码将按照当前位置与每个位置的接近程度对字典进行排序,并将结果打印出来。请根据实际需要修改代码中的位置坐标和其他属性。