Select the join operation method for Join Operation.Set a name and location for Output Feature Class.In the Spatial Join pane, select the other point layer for Join Features. ![]() In the Contents pane, right-click the target point layer, and click Joins and Relates > Spatial Join.This option uses the Spatial Join tool to join attributes from target features to the join features based on spatial relationship, and writes the results to the output feature class. The Near and Generate Near Table tools are only available with an ArcGIS Desktop Advanced license. Refer to ArcGIS Pro: Near (Analysis) and ArcGIS Pro: Generate Near Table (Analysis) for more information on how to use these tools. While the Near tool modifies the input and writes results in the input layer's attribute table, the Generate Near Table tool writes results to a new stand-alone table. PointList.RemoveAt(pointList.The Near and Generate Near Table tools from the Proximity toolset calculate distance and other proximity information between input features and the nearest features in another layer or feature class. Return deltaX > deltaY ? deltaX : deltaY Private static double DistanceQuick(Point p1, Point p2) I would use a cheap a DistanceQuick to dismiss it cheapĭo you really need double? That is expensive.Īre your points integer? ixi = dxd if d if d%1 = 0 private static double Distance(Point p1, Point p2) If you want a more sophisticated algorithm for Closest, then you need to do some research on this well-studied problem: Now all you have to do is efficiently implement Closest, which you should be able to do given the previous hints about computing distances cheaply and so on. Now that we have the signature correct, the algorithm is simple: ImmutableList OrderByDistance(Point start, ImmutableSet points) Do we need the set to contain at least one point? No. The right contract is: ImmutableList OrderByDistance(Point start, ImmutableSet points) I like nothing about any of this this sounds like a ball of potential bugs. The contract is: the list must contain at least one element, the list is destroyed (!!!) by the method, the first element is special, and the result is a mutable list. Let's start by critiquing the interface: List OrderByDistance(List pointList) ![]() In particular, the accepted answer is simply wrong. Usage: var sortedPoints = PointsSorter.OrderByDistance(PointsSorter.GeneratePoints(500000),Įxecution time on my PC (in Debug): ~15 seconds. Iterate through all indexes in the 3x3 Var areaNearestPoint = GetNearestPoint(p, cells) While ((nearestPoint = null || minDist2 > minCellSize2 * (radius - 1)) & radius findAction = (i, j) => Int maxRadius = Math.Max(Math.Max(pi, cells.GetLength(0) - pi), Math.Max(pj, cells.GetLength(1) - pj)) ĭouble minDist2 = // To avoid access to modified closure Int j = (int)((p.Y - minY) / (maxY - minY) * gridNy) Ĭells.AddLast(p) Int i = (int)((p.X - minX) / (maxX - minX) * gridNx) Find the entire space occupied by the pointsĭouble minCellSize2 = Pow2(Math.Min((maxX - minX) / gridNx, (maxY - minY) / gridNy)) Public static List OrderByDistance(List points, int gridNx, int gridNy) Next we search for the nearest point in the range I-1 GeneratePoints(int count)įor (int i = 0 i GetNearestPoint(Point toPoint, LinkedList points) Since the grid is regular, for a given point we can easily calculate its cell index (I, J). The main idea is to cover the entire space occupied by points with a rectangular regular grid.Įach grid cell contains a small subset of points which are located within the cell. Var distance = Distance(currentPoint, pointList) ĬurrentPoint = pointList PointList.RemoveAt(pointList.IndexOf(currentPoint)) įor (var i = 0 i < pointList.Count i++) Private List OrderByDistance(List pointList) private static double Distance(Point p1, Point p2) I would like some help optimizing my function to make it operate as fast as possible. The main problem with my code is: it's incredibly slow when dealing with lists that contain tons of points. it will search for the closest point to point #2. ![]() It will then add point #2 to the list of ordered by distance points.Īnd then. Calculate coordinates at a given bearing and distance. Draw range rings (concentric circles) around a point. ![]() Draw a direct route between two airports, or multiple airport pairs. Calculate the great circle distance between two addresses. It will then search for the closest point to point #1. Calculate the great circle distance between two points. It will add point #1 to the list of ordered by distance points. The function will start with point #1 in the list. I wrote a function that will take a list of points and then order them so they sort of.
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