distance

First read Question carefully ... I need straight distance , not by walking,car ,or etc. Take a look to this image which given below, Google provide us distance by car and driving. But I don't want it, I want straight distance between two location (latitude - longitude). Which is displayed as as RED LINE. NOTE : I don't want to put red line on Google map, just want the Distance in Units (mile,km,etc.) ANDROID double distance Location locationA = new Location(“point A”) locationA.setLatitude(latA); locationA.setLongitude(lngA); Location locationB = new Location(“point B”); locationB.setLatitude

I have another question that I was hoping someone could help me with. I'm using the Jensen-Shannon-Divergence to measure the similarity between two probability distributions. The similarity scores appear to be correct in the sense that they fall between 1 and 0 given that one uses the base 2 logarithm, with 0 meaning that the distributions are equal. However, I'm not sure whether there is in fact an error somewhere and was wondering whether someone might be able to say 'yes it's correct' or 'no, you did something wrong'. Here is the code: from numpy import zeros, array from math import sqrt,

This question already has an answer here: find locations within certain lat/lon distance in r 4 answers Given a data frame with latitudes and longitudes I want to add a column that simply contains the count of other points (of the same data frame) that are within a certain radius e.g. within 10 km of that specific point. Example data: set.seed(1) radius<-10 lat<-runif(10,-90,90) long<-runif(10,-180,180) id<-1:10 dat<-cbind(id,lat,long) id lat long [1,] 1 -42.20844 -105.8491530 [2,] 2 -23.01770 -116.4395691 [3,] 3 13.11361 67.3282248 [4,] 4 73.47740 -41.7226614 [5,] 5 -53.69725 97.1429112 [6,]

For assignment, I created 2 draggable circle and connect them with line with javaFX. I need add text which calculate distance between two circle (or length of line) and that text need to keep updating when I drag circles, but that's where I stuck Circle circle1 = new Circle(); circle1.setCenterX(40); circle1.setCenterY(40); circle1.setRadius(10); Circle circle2 = new Circle(); circle2.setCenterX(120); circle2.setCenterY(150); circle2.setRadius(10); Line line = new Line (); line.startXProperty().bind(circle1.centerXProperty()); line.startYProperty().bind(circle1.centerYProperty()); line

I have two data frames , one is with 0.8 million rows with x and Y coordinates, another data frame is of 70000 rows with X and Y coordinates. I want to know logic and code in R where I want to associate data point from frame 1 to closest point in data frame 2. Is there any standard package to do so ? I am running nested for loop. But this is very slow as it is getting iterated for 0.8 million * 70000 times which is very time consuming. Hugo I found a faster way to get the expected result using the data.table library: library(data.table) time0 <- Sys.time() Here is some random data: df1 <- data

Let's imagine we have data as d1 = np.random.uniform(low=0, high=2, size=(3,2)) d2 = np.random.uniform(low=3, high=5, size=(3,2)) X = np.vstack((d1,d2)) X array([[ 1.4930674 , 1.64890721], [ 0.40456265, 0.62262546], [ 0.86893397, 1.3590808 ], [ 4.04177045, 4.40938126], [ 3.01396153, 4.60005842], [ 3.2144552 , 4.65539323]]) I want to compare two methods for generating the pairwise distances: assuming that X and Y are the same: (X-Y)^2 = X.X + Y.Y - 2*X.Y^t Here is the first method as it is used in scikit-learn for computing the pairwise distance, and later for kernel matrix. import numpy as np