coordinates

This question already has an answer here: Verify if a point is Land or Water in Google Maps 18 answers I have a system where users put some coordinates (latitude/longitude), I need to check if specified coordinates are in the sea or not. Is there any service that could give me the answer. Or is it possible to do this using google maps. You can use the Google Maps Geocode API . If your address is in land, the result_type of the response will be something like "administrative_area". if you are in the sea, the response will be "natural_feature". Here are two examples: The first is the 0,0 point,

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

Background: I have an ImageView that I've modified to be scrollable (drag) and zoom-able (pinch zoom). I used the exact technique mentioned in the "Hello, Android" 3rd edition book that can also be found here . This technique uses matrix transformation to handle both scrolling and zooming. My Problem: When a user taps on the image, I want the coordinates of that tap in relation to the image itself, regardless of how the image has been scrolled or magnified. For instance, if my image is 1000x2000 and I scroll and zoom the image. Then I tap on the image at a certain point, I want to know what

As I am learning OpenGL I often stumble upon so-called eye space coordinates. If I am right, you typically have three matrices. Model matrix, view matrix and projection matrix. Though I am not entirely sure how the mathematics behind that works, I do know that the convert coordinates to world space, view space and screen space. But where is the eye space, and which matrices do I need to convert something to eye space? Perhaps the following illustration showing the relationship between the various spaces will help: Depending if you're using the fixed-function pipeline (you are if you call

I am trying to plot my coordinates using R. I have tried already to follow different post ( R: Plot grouped coordinates on world map ; Plotting coordinates of multiple points at google map in R ) but I am not having much success with my data. I am trying to achieve a flat map of the world with my gps coordinate as colored dots (each area a specific color): area lat long Agullhas -38,31 40,96 Polar -57,59 76,51 Tasmanian -39,47 108,93 library(RgoogleMaps) lat <- c(-38.31, -35.50) #define our map's ylim lon <- c(40.96,37.50) #define our map's xlim center = c(mean(lat), mean(lon)) #tell what

As stated in the title, the goal is to have a way for detecting whether a given GPS coordinate falls inside a polygon or not. The polygon itself can be either convex or concave. It's defined as a set of edge vectors and a known point within that polygon. Each edge vector is further defined by four coordinates which are the latitudes and longitudes of respective tip points and a bearing relative to the starting point. There are a couple of questions similar to this one here on StackOverflow but they describe the solution only in general terms and for a 2D plane, whereas I am looking for an