distance

This may or may not be clear, leave me a comment if I am off base, or you need more information. Perhaps there is a solution out there already for what I want in PHP. I am looking for a function that will add or subtract a distance from a longitude OR latitude value. Reason: I have a database with all Latitudes and Longitudes in it and want to form a query to extract all cities within X kilometers (or miles). My query would look something like this... Select * From Cities Where (Longitude > X1 and Longitude < X2) And (Latitude > Y1 and Latitude < Y2) Where X1 = Longitude - (distance) Where X2

I need to find the estimate drive time from one place to another. I've got latitudes and longitudes for both places but I have no idea how to do that. Is there is any API for that. help thanks. yes you get the time and distance value as well as many like direction details in driving, walking etc mode. all you got from the google direction api service check our this links http://code.google.com/apis/maps/documentation/directions/ Yaqub Ahmad Location location1 = new Location(""); location1.setLatitude(lat); location1.setLongitude(long); Location location2 = new Location(""); location2

I have a program in which latitude and longitude values of a location are stored in a database, which I download. I want to get the distance between these coordinates, and my current location. The Location class has a simple method to find the distance between two Location objects, so I figured I'd make a Location object with the coordinates, then call the method. Is there an easy way to do this? Also, if there's another reliable, fairly simple equation that won't clutter things too much, that would work too. Thanks. (android.location.Location) Androiderson Assuming that you already have a

I have a dataframe with distances df<-data.frame(site.x=c("A","A","A","B","B","C"), site.y=c("B","C","D","C","D","D"),Distance=c(67,57,64,60,67,60)) I need to convert this to an object of class "dist" but I do not need to calculate a distance so therefore I cannon use the dist() function. Any advice? I had a similar problem not to long ago and solved it like this: n <- max(table(df$site.x)) + 1 # +1, so we have diagonal of res <- lapply(with(df, split(Distance, df$site.x)), function(x) c(rep(NA, n - length(x)), x)) res <- do.call("rbind", res) res <- rbind(res, rep(NA, n)) res <- as.dist(t(res

I'd like to calculate multivariate distance from a set of points to the centroid of those points. Mahalanobis distance seems to be suited for this. However, I get an error (see below). Can anyone tell me why I am getting this error, and if there is a way to work around it? If you download the coordinate data and the associated environmental data , you can run the following code. require(maptools) occ <- readShapeSpatial('occurrences.shp') load('envDat.Rdata') #standardize the data to scale the variables dat <- as.matrix(scale(dat)) centroid <- dat[1547,] #let's assume this is the centroid in

There is a polyline with a list of coordinates of the vertices = [(x1,y1), (x2,y2), (x3,y3),...] and a point(x,y). In Shapely, geometry1.distance(geometry2) returns the shortest distance between the two geometries. >>> from shapely.geometry import LineString, Point >>> line = LineString([(0, 0), (5, 7), (12, 6)]) # geometry2 >>> list(line.coords) [(0.0, 0.0), (5.0, 7.0), (12.0, 6.0)] >>> p = Point(4,8) # geometry1 >>> list(p.coords) [(4.0, 8.0)] >>> p.distance(line) 1.4142135623730951 But I also need to find the coordinate of the point on the line that is closest to the point(x,y). In the

I want to find distance traveled and velocity from accelerometer events. Like iphone's gMeter application is doing. Any suggestion, by which value or formula I should use for that? Thanks in advance. You can use the acceleration values from the accelerometer to measure the velocity and distance. There is really good paper ( Implementing Positioning Algorithms Using Accelerometers ) which explains the errors you get from the accelerometer and the techniques to get the velocity and position from the acceleration values. Some pseudo code: velocity[i] = (acceleration[i] + acceleration[i-1])/2 *