distance

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 to display the distance i just need to sort the 200 zip codes with the closest being the first of the

Given a set of points, I am trying to select a subset of n points that are most evenly distributed across this set of points. In other words, I am trying to thin out the dataset while still evenly sampling across space. So far, I have the following, but this approach likely won't do well with larger datasets. Maybe there is a more intelligent way to choose the subset of points in the first place... The following code randomly chooses a subset of the points, and seeks to minimize the distance between the points within this subset and the points outside of this subset. Suggestions appreciated!

I have created a MySQL function to determine if a set of latitude and longitude coordinates are within a certain range of another set of latitude and longitude coordinates. However, the function is giving me a syntax error so I cannot test to see if it is working properly. Any help figuring out what is causing the error would be greatly appreciated. The function along with a description of it is written below: It works by having the starting lat/long coordinates passed to the function. The database contains the rows targa, targb, and targc, that contain the latitude, longitude, and range

I am trying to write something that will determine the distance between to sets of lat/lon coordinates. I am using the following code which I found on this site : public static double distance (double lat1, double lon1, double lat2, double lon2) { double lat1 = Convert.ToDouble(latitude); double lon1 = Convert.ToDouble(longitude); double lat2 = Convert.ToDouble(destlat); double lon2 = Convert.ToDouble(destlon); double theta = toRadians(lon1-lon2); lat1 = toRadians(lat1); lon1 = toRadians(lon1); lat2 = toRadians(lat2); lon2 = toRadians(lon2); double dist = sin(lat1)*sin(lat2) + cos(lat1)*cos

Input file is Mydata <- read.table(con <- textConnection(' gene treatment1 treatment2 treatment3 aaa 1 0 1 bbb 1 1 1 ccc 0 0 0 eee 0 1 0 '), header=TRUE) close(con) Mydata is gene treatment1 treatment2 treatment3 1 aaa 1 0 1 2 bbb 1 1 1 3 ccc 0 0 0 4 eee 0 1 0 In order to built cluster, I have done d <- dist(mydata, method = "euclidean") fit <- hclust(d, method="ward") plot(fit) I got the cluster based on "euclidean" distance. In my previous message in stackoverflow How to use R to compute Tanimoto/Jacquard Score as distance matrix I found I can also calculate tanimoto-jacquard distance matrix

I have an SQLite database, which does not support trig functions. I would like to sort a set of lat,lng pairs in my table by distance as compared to a second lat,lng pair. I'm familiar with the standard haversine distance formula for sorting lat,lng pairs by distance. In this case I don't care particularly for precision, my points are separated by large distances, so I don't mind rounding off the distances by treating curves as straight lines. My question, is there a generally accepted formula for this kind of query? Remember no trig functions! If your points are within reasonable distance of

I am looking for a way to transmit data when two phones are close by. This needs to be cross platform so I cannot use NFC or iBeacon. I plan on using allJoyn to send information. I would only like to send data to others that are within a few feet of me. Is there any way that I could get an accurate reading of distance on other phones? Or can I get an accurate distance on a master device that could be placed in the room? Shot in the dark answer: If both devices are on the same wireless WiFi network (same subnet), then any devices on same network are "close enough". When on the celluar network