distance

问题 I created 5 circles with random x and y coordinates and radii using 3 arrays (for x, y and radius size). However, I need the circles to dynamically change color based on whether or not they overlap with another circle. So if one of the 5 circles doesn't overlap at all, it should be colored black. Overlapping circles should be cyan. Two circles are considered to overlap if the distance between their center points is less than the sum of their radii. This is what I have written so far for the

问题 I've centroids for customer A and customer B. Now I need to calculate distance between customer A and B into miles using centroids. How can I do it in Oracle? Right now, I'm using alteryx "distance" spatial tool for centroid distance calculation but need to convert it into oracle query. Thanks! 回答1: If you have Cartesian coordinates then the approximate distance if given by the Pythagorean theorem as already provided by Matthew. For Lat/Lon values you should use the Oracle build in SDO_GEOM

问题 I have a list of coordinates and can calculate a distance matrix among all points using the haversine distance metric. Coordinates come a as numpy.array of shape (n, 2) of (latitude, longitude) pairs: [[ 16.34576887 -107.90942116] [ 12.49474931 -107.76030036] [ 27.79461514 -107.98607881] ... [ 12.90258404 -107.96786569] [ -6.29109889 -107.88681145] [ -2.68531605 -107.72796034]] I can also extract the distance along the path implied by the sequence of coordinates like so: coordinates = np

问题 I have a list of coordinates and can calculate a distance matrix among all points using the haversine distance metric. Coordinates come a as numpy.array of shape (n, 2) of (latitude, longitude) pairs: [[ 16.34576887 -107.90942116] [ 12.49474931 -107.76030036] [ 27.79461514 -107.98607881] ... [ 12.90258404 -107.96786569] [ -6.29109889 -107.88681145] [ -2.68531605 -107.72796034]] I can also extract the distance along the path implied by the sequence of coordinates like so: coordinates = np

问题 I am using my android phone as Access Point. Now I want to find the distance and direction of the wifi devices connected with my phone. Please help me through suitable example and code. Thanks in advance. 回答1: I downloaded Wifi Radar that you mentioned and tried it. There's an important step there - it asks you to rotate on the spot for a bit while holding the device to your body. So my guess is that it uses the internal compass to figure out which direction you're pointing to, and then

问题 I have been researching and studying about partition-based clustering algorithms like K-means and K-Medoids. I have learned that K-medoids is more robust to outliers compared to K-means. However I am curious on what will happen if during the assigning of data points, two or more cluster representatives have the same distance on a data point. Which cluster will you assign the data point? Will the assignment of the data point to a cluster greatly affect the clustering results? 回答1: To prevent

问题 How would I go about tracking the distance a user travels? I don't necessarily care about storing waypoints, although that may be necessary to calculate distance anyway. So far, I am creating a LocationManager and regsitering an onLocationChanged listener, and then calculating the raw distance between two points when the listener fires. The problem here is that if I leave the app sit still on a desk for 10, 15 minutes, it will say I have traveled .5 miles. How should I go about checking for

问题 Im trying to calculate the nearest distance to a point. Therefore I create two df's Create list 1 long <- c(52.070498, 52.370216, 52.632381, 53.201233, 51.813298, 51.92442, 52.266075, 53.219383, 52.960561, 52.367027, 51.571915, 52.516775, 51.441642, 52.221537, 52.090737, 51.985103, 51.560596) lat <- c(4.3007, 4.895168,4.753375, 5.799913, 4.690093, 4.477733, 6.155217, 6.566502, 5.920522, 6.668492, 4.768323, 6.083022, 5.469722, 6.893662, 5.12142, 5.89873, 5.091914) stad <- c("Den Haag",

问题 I'm trying to figure out what would be the most efficient (with respect to load time) to compare the distance between one zip code (which the user provides) and a whole bunch of other zip codes (there's approximately 200 zip codes right now, but its subject to increase over time). I don't need anything exact just in the ball park. I downloaded a zip code csv file for all of the US, and I've got a function which produces the distance between two zip codes (in radians i believe.) I don't need

问题 I'd like to use Google maps static API to display a map with a path overlay indicating a boundary. AFAICT the static API doesn't support polygons, so I intend to circumvent this by drawing the boundary using paths. To do this I need to determine the points to draw the straight lines (paths) between; so I'd like an algorithm that returns the geographic location (i.e. WGS84 coordinates) a given bearing and distance from a known point. Can anyone point me to such an algorithm. Preferably in C#,