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  • Calculating distance between two X,Y coordinates

    - by Umopepisdn
    I am writing a tool for a game that involves calculating the distance between two coordinates on a spherical plane 500 units across. That is, [0,0] through [499,499] are valid coordinates, and [0,0] and [499,499] are also right next to each other. Currently, in my application, I am comparing the distance between a city with an [X,Y] location respective to the user's own [X,Y] location, which they have configured in advance. To do this, I found this algorithm, which kind of works: Math.sqrt ( dx * dx + dy * dy ); Because sorting a paged list by distance is a useful thing to be able to do, I implemented this algorithm in a MySQL query and have made it available to my application using the following part of my SELECT statement: SQRT( POW( ( ".strval($sourceX)." - cityX ) , 2 ) + POW( ( ".strval($sourceY)." - cityY ) , 2 ) ) AS distance This works fine for many calculations, but does not take into account the fact that [0,0] and [499,499] are kitty-corner to one another. Is there any way I can tweak this algorithm to generate an accurate distance, given that 0 and 499 are adjacent? Thanks, -Umo

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  • Calculating all distances between one point and a group of points efficiently in R

    - by dbarbosa
    Hi, First of all, I am new to R (I started yesterday). I have two groups of points, data and centers, the first one of size n and the second of size K (for instance, n = 3823 and K = 10), and for each i in the first set, I need to find j in the second with the minimum distance. My idea is simple: for each i, let dist[j] be the distance between i and j, I only need to use which.min(dist) to find what I am looking for. Each point is an array of 64 doubles, so > dim(data) [1] 3823 64 > dim(centers) [1] 10 64 I have tried with for (i in 1:n) { for (j in 1:K) { d[j] <- sqrt(sum((centers[j,] - data[i,])^2)) } S[i] <- which.min(d) } which is extremely slow (with n = 200, it takes more than 40s!!). The fastest solution that I wrote is distance <- function(point, group) { return(dist(t(array(c(point, t(group)), dim=c(ncol(group), 1+nrow(group)))))[1:nrow(group)]) } for (i in 1:n) { d <- distance(data[i,], centers) which.min(d) } Even if it does a lot of computation that I don't use (because dist(m) computes the distance between all rows of m), it is way more faster than the other one (can anyone explain why?), but it is not fast enough for what I need, because it will not be used only once. And also, the distance code is very ugly. I tried to replace it with distance <- function(point, group) { return (dist(rbind(point,group))[1:nrow(group)]) } but this seems to be twice slower. I also tried to use dist for each pair, but it is also slower. I don't know what to do now. It seems like I am doing something very wrong. Any idea on how to do this more efficiently? ps: I need this to implement k-means by hand (and I need to do it, it is part of an assignment). I believe I will only need Euclidian distance, but I am not yet sure, so I will prefer to have some code where the distance computation can be replaced easily. stats::kmeans do all computation in less than one second.

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  • ping alternative to measure routing distance (on Windows)

    - by Marco Demaio
    Hello, in order to measure aprroximately the rouitng distance (to see if a server is close to my country or too far away) I usually use ping command. I'm in Italy, when I ping Italian servers I get 36ms when I ping US EAST servers I get an average of 120ms when I ping US WEST servers I get an average of 200ms etc. Unfortunately some web hosters turn off the ping reply on their servers, so my question is how do I detect the routing distance, is there another easy to use command in Windows to accomplish the same task? Thanks!

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  • Stack Managed Switches over a distance

    - by Joel Coel
    We have several buildings with stacked switches, where the distance between the stacked units is considerable... separate floors, or at opposite ends of a hallway. They are 3Com switches that stack using cat6 cabling. These switches are coming up on 12 years old now, and as I look around at replacements it seems no one supports this scenario any more. Stacking switches want to use fiber links (it more for me to run and terminate the fiber stacking cables than to purchase the switch) or other custom cables that seem only intended to jump up to the next unit in a rack. What have others done to support stacking over a distance? I'm considering breaking up the stacked switches into separate managed entities and just bridging from the root switch in the buildings, but I'd really like to avoid that for what I hope are obvious reason. The closest thing I've found are from netgear that use hdmi cables for the stacking connection... I could try to support that by running an additional cat6 line and re-terminating both links into a single hdmi port, but I have concerns over that approach as well.

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  • Calculating distance from latitude, longitude and height using a geocentric co-ordinate system

    - by Sarge
    I've implemented this method in Javascript and I'm roughly 2.5% out and I'd like to understand why. My input data is an array of points represented as latitude, longitude and the height above the WGS84 ellipsoid. These points are taken from data collected from a wrist-mounted GPS device during a marathon race. My algorithm was to convert each point to cartesian geocentric co-ordinates and then compute the Euclidean distance (c.f Pythagoras). Cartesian geocentric is also known as Earth Centred Earth Fixed. i.e. it's an X, Y, Z co-ordinate system which rotates with the earth. My test data was the data from a marathon and so the distance should be very close to 42.26km. However, the distance comes to about 43.4km. I've tried various approaches and nothing changes the result by more than a metre. e.g. I replaced the height data with data from the NASA SRTM mission, I've set the height to zero, etc. Using Google, I found two points in the literature where lat, lon, height had been transformed and my transformation algorithm is matching. What could explain this? Am I expecting too much from Javascript's double representation? (The X, Y, Z numbers are very big but the differences between two points is very small). My alternative is to move to computing the geodesic across the WGS84 ellipsoid using Vincenty's algorithm (or similar) and then calculating the Euclidean distance with the two heights but this seems inaccurate. Thanks in advance for your help!

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  • Spreadsheet functions to query route planner for travel time/distance

    - by Rich
    I would like to achieve something whereby I have a spreadsheet such that the columns are: Column A - place name Column B - place name Column C - distance by road between places in columns A and B Column D - travel time by road between places in columns A and B I thought it might be possible using Google Docs' spreadsheet and its 'Google' functions, but I've not found any that might do the trick. In the end I could knock up an app to do it using the Google Maps API but would rather avoid it if I can.

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  • Finding the distance between 2 points in Android using Cursor and the distanceTo() method

    - by LordSnoutimus
    Hello, I am trying to calculate the distance between the first GPS point stored in a SQLite database and the last GPs point stored. My code so far is this: private double Distance() { SQLiteDatabase db1 = waypoints.getWritableDatabase(); Cursor cursor = db1.query(TABLE_NAME, FROM, null, null, null, null,ORDER_BY); Cursor cursor1 = db1.query(TABLE_NAME, FROM, null, null, null, null,ORDER_BY); Double lat = cursor.getDouble(2); Double lon = cursor.getDouble(1); cursor.moveToFirst(); cursor.moveToLast(); cursor.close(); distance = cursor.distanceTo(cursor1); } I realise I need to return a value but the error I am receiving is for the distanceTo method "The method distanceTo(Cursor) is undefined for the type Cursor" Thanks.

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  • SQL 2003 Distance Latitude Longitude

    - by J.Hendrix
    I have a table full of Dealers along with their latitude and longitude. I am trying to determine the top n closest dealers to any given lat and lon. I already have the function to calculate distance between locations, but I want to do as few calculations as possible (my table can contain many thousands of entries). Currently I have to calculate the distance for each entry then sort them. Is there any way to sort before I do the calculation to improve performance? This question is good, but I will not always know my range. Should I just pick an arbitrarily high range then refine my results? I am thankful for any help the community can offer. declare @Lat real declare @lon real Set @lat = 41.05 Set @lon = -73.53 SELECT top 10 MemberID, Address1, City, State, Zip, Phone, Lat, Lon, (SELECT fun_DistanceLatLon] (@Lat,@lon,Lat,Lon)) as mDistance --Calculate distance FROM Dealers Order by (SELECT fun_DistanceLatLon] (@Lat,@lon,Lat,Lon))

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  • Clustering [assessment] algorithm with distance matrix as an input

    - by Max
    Can anyone suggest some clustering algorithm which can work with distance matrix as an input? Or the algorithm which can assess the "goodness" of the clustering also based on the distance matrix? At this moment I'm using a modification of Kruskal's algorithm (http://en.wikipedia.org/wiki/Kruskal%27s_algorithm) to split data into two clusters. It has a problem though. When the data has no distinct clusters the algorithm will still create two clusters with one cluster containing one element and the other containing all the rest. In this case I would rather have one cluster containing all the elements and another one which is empty. Are there any algorithms which are capable of doing this type of clustering? Are there any algorithms which can estimate how well the clustering was done or even better how many clusters are there in the data? The algorithms should work only with distance(similarity) matrices as an input.

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  • Finding Cities within 'X' Kilometers (or Miles)

    - by Mike Curry
    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 = Longitude + (distance) Where Y1 = Latitude - (distance) Where Y2 = Latitude + (distance) I am working in PHP, with a MySql Database. Open to any suggestions also! :)

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  • calculating a gps coordinate given a point, bearing and distance

    - by user530509
    Hello, I have a problem which draws my back in some project for some time now. Im basically looking to trap a polygon using x,y points drawn by some script ive written. lat1,lon1 are the center gps cords of the polygon and im looking for its surrounding polygon. here is a part of my code in python: def getcords(lat1,lon1,dr,bearing): lat2=asin(sin(lat1)*cos(dr)+cos(lat1)*sin(dr)*cos(bearing)) lon2=lon1+atan2(sin(bearing)*sin(dr)*cos(lat1),cos(dr)-sin(lat1)*sin(lat2)) return [lat2,lon2] my input goes like this: lat1,lon1 - are given in decimal degrees. -dr is the angular computed by dividing the distance in miles by the earth's -raiuds(=3958.82) -bearing between 0-360 degrees. however for the input getcorsds1(42.189275,-76.85823,0.5/3958.82,30) i get [-1.3485899508698462, -76.8576637627568], however [42.2516666666667,-76.8097222222222] is the right answer. as for the angular distance i calculate it simply by dividing the distance in miles by the earth's raiuds(=3958.82). anybody?

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  • Distance from a point to a polygon

    - by clwen
    I am trying to determine the distance from a point to a polygon in 2D space. The point can be inside or outside the polygon; The polygon can be convex or concave. If the point is within the polygon or outside the polygon with a distance smaller than a user-defined constant d, the procedure should return True; False otherwise. I have found a similar question: Distance from a point to a polyhedron or to a polygon. However, the space is 2D in my case and the polygon can be concave, so it's somehow different from that one. I suppose there should be a method simpler than offsetting the polygon by d and determining it's inside or outside the polygon. Any algorithm, code, or hints for me to google around would be appreciated.

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  • Distance between numpy arrays, columnwise

    - by Jaapsneep
    I have 2 arrays in 2D, where the column vectors are feature vectors. One array is of size F x A, the other of F x B, where A << B. As an example, for A = 2 and F = 3 (B can be anything): arr1 = np.array( [[1, 4], [2, 5], [3, 6]] ) arr2 = np.array( [[1, 4, 7, 10, ..], [2, 5, 8, 11, ..], [3, 6, 9, 12, ..]] ) I want to calculate the distance between arr1 and a fragment of arr2 that is of equal size (in this case, 3x2), for each possible fragment of arr2. The column vectors are independent of each other, so I believe I should calculate the distance between each column vector in arr1 and a collection of column vectors ranging from i to i + A from arr2 and take the sum of these distances (not sure though). Does numpy offer an efficient way of doing this, or will I have to take slices from the second array and, using another loop, calculate the distance between each column vector in arr1 and the corresponding column vector in the slice?

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  • Get Distance from geohash field in solr 3.6

    - by Omar A. Shaaban
    Is it possible to get distance returned from a geodist() filter, on a geohash field that has multiple values? The geosort and the geodist filter are working fine, but I'm trying to get the distance between the query point and a location that was returned in the result. I've tried http://wiki.apache.org/solr/SpatialSearch#Returning_the_distance The second method which is : //localhost:8983/solr/select?indent=true&fl=name,store&sfield=store&pt=45.15,-93.85&sort=score%20asc&q={!func}geodist() But it returns weird results, tested with 2 locations it returns score 9979.032, where there is ~33,000 Km between both points in reality? What is the unit that it uses returning the distance in the score field? I assumed km, but it does not make sense, or the result is bogus, I dunno Anyhelp would be appreciated, thanks

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  • Oracle spatial search within distance

    - by KA_lin
    I have the following table Cities: ID(int),City(char),latitude(float),longitude(float). Now based on a user`s longitude(ex:44.8) and latitude(ex:46.3) I want to search for all the cities near him within 100 miles/KM. I have found some examples but don`t know how to adapt them to my case select * from GEO.Cities a where SDO_WITHIN_DISTANCE([I don`t know], MDSYS.SDO_GEOMETRY(2001, 8307, MDSYS.SDO_POINT_TYPE(44.8,46.3, NULL) ,NULL, NULL), 'distance = 1000') = 'TRUE'; Any help would be appreciated. P.S: If it is possible to have the distance and to be sorted P.P.S: I want to do it in this way due to performance issues, I have done this in this way http://www.scribd.com/doc/2569355/Geo-Distance-Search-with-MySQL but it takes too long...

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  • Algorithm putting point into square with maximal minimum distance

    - by Mikulas Dite
    I'm stuck on this: Have a square. Put n points into this square so the minimal distance (not necessary the average distance) is the highest possible. I'm looking for an algorithm which would be able to generate the coordinates of all points given the count of them. Example results for n=4;5;6: Please don't mention computing-power based stuff such as trying a lot of combination and then nitpicking the right one and similar ideas.

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  • Calculate and display distance between userlocation and known point in Table View

    - by Claudio
    Hi, I have a table view with a list of hotel, and i want put in cell.detailTextLabel.text the distance beetween userlocation and hotel. How can obtain the coordinates of userlocation? I see on web that i need to use CLLocationManager but i don't understand how and where implement in my table view. Then,to get the distance,i do a "getDistancefrom" between userLocation and the coordinates of the hotel ? Thanks

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  • Programmatically query route planner for travel time/distance?

    - by Rich
    Hi I would like to achieve something whereby I have a spreadsheet such that the columns are: Column A - place name Column B - place name Column C - distance by road between places in columns A and B Column D - travel time by road between places in columns A and B I thought it might be possible using Google Docs' spreadsheet and its 'Google' functions, but I've not found any that might do the trick. In the end I could knock up an app to do it using the Google Maps API but would rather avoid it if I can. Thanks in advance for any suggestions. Rich

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  • web server and database server distance

    - by Erkan
    I want to seperate my server into two parts: web server and dbserver. My web server is located in Turkey and my dbserver is located in Germany. I cant change my web server because my agreement is based on my Ip adresses. I want to locate my dbserver in Germany because more cheap then Turkey. But... I have a problem in here. When you call a db action, first, you are going to Turkey for IIS and IIS is going to Germany for Dbserver. It is too far and so slow to response back. Any idea? Is it wrong that the distance is so far between web server and dbserver? Or Are there any solutions for this problem?

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  • Calculating bounding box a certain distance away from a lat/long coordinate in Java

    - by Bryce Thomas
    Given a coordinate (lat, long), I am trying to calculate a square bounding box that is a given distance (e.g. 50km) away from the coordinate. So as input I have lat, long and distance and as output I would like two coordinates; one being the south-west (bottom-left) corner and one being the north-east (top-right) corner. I have seen a couple of answers on here that try to address this question in Python, but I am looking for a Java implementation in particular. Just to be clear, I intend on using the algorithm on Earth only and so I don't need to accommodate a variable radius. It doesn't have to be hugely accurate (+/-20% is fine) and it'll only be used to calculate bounding boxes over small distances (no more than 150km). So I'm happy to sacrifice some accuracy for an efficient algorithm. Any help is much appreciated. Edit: I should have been clearer, I really am after a square, not a circle. I understand that the distance between the center of a square and various points along the square's perimeter is not a constant value like it is with a circle. I guess what I mean is a square where if you draw a line from the center to any one of the four points on the perimeter that results in a line perpendicular to a side of the perimeter, then those 4 lines have the same length.

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  • Designing model/database for distance between any two locations (that may change)

    - by Yo Ludke
    We should create a web app which has a number of events each with a location (created as user-generated content, so the number of events will be increasingly large). The distance between any events should be available, for example to determine the top 5 closest events and such things. Users may change the locations of events. How should one design the database/model for this (in a scalable way)? I was thinking of doing it with a "distance table" (like so http://www.deutschland-tourist.info/images/entfernungstabelle.gif). Then every time, if a location changes, one row and one column have to be recalculated (this should be done with a delayed job, because it is not important to have the changes instantly). Possible problems in Scaling: Database to large (n² items for n events), too much calculation to be done. For example we should see if this is okay for 10.000 users. If each has created just one event, then this would be 100 million integers... Do you think this would be a good way to do it efficiently? How could one realize such a distance table with an rails model? Is it possible with a SQL databse? Would you start other approaches?

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