I have this image: http://imgur.com/99tSz.png. A map of the UK (not including Southern Ireland).

I have successfully managed to get a latitude and longitude and plot it onto this map by taking the leftmost longitude and rightmost longitude of the UK and using them to work out where to put the point on the map.

This is the code (for use in Processing.js but could be used as js or anything):

```
// Size of the map
int width = 538;
int height = 811;
// X and Y boundaries
float westLong = -8.166667;
float eastLong = 1.762833;
float northLat = 58.666667;
float southLat = 49.95;
void drawPoint(float latitude, float longitude){
fill(#000000);
x = width * ((westLong-longitude)/(westLong-eastLong));
y = (height * ((northLat-latitude)/(northLat-southLat)));
console.log(x + ", " + y);
ellipseMode(RADIUS);
ellipse(x, y, 2, 2);
}
```

However, I haven't been able to implement a Mercator projection on these values. The plots are reasonably accurate but they are not good enough and this projection would solve it.

I can't figure out how to do it. All the examples I find are explaining how to do it for the whole world. This is a good resource of examples explaining how to implement the projection but I haven't been able to get it to work.

Another resource is the Extreme points of the United Kingdom where I got the latitude and longitude values of the bounding box around the UK. They are also here:

```
northLat = 58.666667;
northLong = -3.366667;
eastLat = 52.481167;
eastLong = 1.762833;
southLat = 49.95;
southLong = -5.2;
westLat = 54.45;
westLong = -8.166667;
```

If anyone could help me with this, I would greatly appreciate it!

Thanks

I think it's worthwhile to keep in mind that not all flat maps are Mercator projections. Without knowing more about that map in particular, it's hard to be sure. You may find that most maps of a small area of the world are more likely to be a *conical* type projection, where the area of interest on the map is "flatter" than would be on a global Mercator projection. This is especially more important the further you get away from the equator (and the UK is far enough away for it to matter).

You may be able to get "close enough" using the calculations you're trying, but for best accuracy you may want to either use a map with a well-defined projection, or create your own map.

I wrote a function which does exactly what you were looking for. I know it's a bit late, but maybe there are some other people interested in.

You need a map which is a mercator projection and you need to know the lat / lon positions of your map. You get great customized mercator maps with perfect matching lat / lon positions from TileMill which is a free software from MapBox!

I'm using this script and tested it with some google earth positions. It worked perfect on a pixel level. Actually I didnt test this on different or larger maps. I hope it helps you!

Raphael ;)

```
<?php
$mapWidth = 1500;
$mapHeight = 1577;
$mapLonLeft = 9.8;
$mapLonRight = 10.2;
$mapLonDelta = $mapLonRight - $mapLonLeft;
$mapLatBottom = 53.45;
$mapLatBottomDegree = $mapLatBottom * M_PI / 180;
function convertGeoToPixel($lat, $lon)
{
global $mapWidth, $mapHeight, $mapLonLeft, $mapLonDelta, $mapLatBottom, $mapLatBottomDegree;
$x = ($lon - $mapLonLeft) * ($mapWidth / $mapLonDelta);
$lat = $lat * M_PI / 180;
$worldMapWidth = (($mapWidth / $mapLonDelta) * 360) / (2 * M_PI);
$mapOffsetY = ($worldMapWidth / 2 * log((1 + sin($mapLatBottomDegree)) / (1 - sin($mapLatBottomDegree))));
$y = $mapHeight - (($worldMapWidth / 2 * log((1 + sin($lat)) / (1 - sin($lat)))) - $mapOffsetY);
return array($x, $y);
}
$position = convertGeoToPixel(53.7, 9.95);
echo "x: ".$position[0]." / ".$position[1];
?>
```

Here is the image I created with TileMill and which I used in this example:

I've converted the PHP code provided by Raphael to JavaScript and can confirm it worked and this code works myself. All credit to Raphael.

```
/*
var mapWidth = 1500;
var mapHeight = 1577;
var mapLonLeft = 9.8;
var mapLonRight = 10.2;
var mapLonDelta = mapLonRight - mapLonLeft;
var mapLatBottom = 53.45;
var mapLatBottomDegree = mapLatBottom * Math.PI / 180;
*/
function convertGeoToPixel(latitude, longitude ,
mapWidth , // in pixels
mapHeight , // in pixels
mapLonLeft , // in degrees
mapLonDelta , // in degrees (mapLonRight - mapLonLeft);
mapLatBottom , // in degrees
mapLatBottomDegree) // in Radians
{
var x = (longitude - mapLonLeft) * (mapWidth / mapLonDelta);
latitude = latitude * Math.PI / 180;
var worldMapWidth = ((mapWidth / mapLonDelta) * 360) / (2 * Math.PI);
var mapOffsetY = (worldMapWidth / 2 * Math.log((1 + Math.sin(mapLatBottomDegree)) / (1 - Math.sin(mapLatBottomDegree))));
var y = mapHeight - ((worldMapWidth / 2 * Math.log((1 + Math.sin(latitude)) / (1 - Math.sin(latitude)))) - mapOffsetY);
return { "x": x , "y": y};
}
```

@Xarinko Actionscript snippet in Javascript (with some testing values)

```
var mapWidth = 1500;
var mapHeight = 1577;
var mapLonLeft = 9.8;
var mapLonRight = 10.2;
var mapLonDelta = mapLonRight - mapLonLeft;
var mapLatBottom = 53.45;
var mapLatBottomRadian = mapLatBottom * Math.PI / 180;
function convertPixelToGeo(tx, ty)
{
/* called worldMapWidth in Raphael's Code, but I think that's the radius since it's the map width or circumference divided by 2*PI */
var worldMapRadius = mapWidth / mapLonDelta * 360/(2 * Math.PI);
var mapOffsetY = ( worldMapRadius / 2 * Math.log( (1 + Math.sin(mapLatBottomRadian) ) / (1 - Math.sin(mapLatBottomRadian)) ));
var equatorY = mapHeight + mapOffsetY;
var a = (equatorY-ty)/worldMapRadius;
var lat = 180/Math.PI * (2 * Math.atan(Math.exp(a)) - Math.PI/2);
var long = mapLonLeft+tx/mapWidth*mapLonDelta;
return [lat,long];
}
convertPixelToGeo(241,444)
```

If you want to avoid some of the messier aspects of lat/lng projections intrinsic to Proj4JS, you can use D3, which offers many baked-in projections and renders beautifully. Here's an interactive example of several flavors of Azimuthal projections. I prefer Albers for USA maps.

If D3 is not an end-user option -- say, you need to support IE 7/8 -- you can render in D3 and then snag the xy coordinates from the resultant SVG file that D3 generates. You can then render those xy coordinates in Raphael.

C# implementation:

```
private Point ConvertGeoToPixel(
double latitude, double longitude, // The coordinate to translate
int imageWidth, int imageHeight, // The dimensions of the target space (in pixels)
double mapLonLeft, double mapLonRight, double mapLatBottom // The bounds of the target space (in geo coordinates)
) {
double mapLatBottomRad = mapLatBottom * Math.PI / 180;
double latitudeRad = latitude * Math.PI / 180;
double mapLonDelta = mapLonRight - mapLonLeft;
double worldMapWidth = (imageWidth / mapLonDelta * 360) / (2 * Math.PI);
double mapOffsetY = worldMapWidth / 2 * Math.Log((1 + Math.Sin(mapLatBottomRad)) / (1 - Math.Sin(mapLatBottomRad)));
double x = (longitude - mapLonLeft) * (imageWidth / mapLonDelta);
double y = imageHeight - ((worldMapWidth / 2 * Math.Log((1 + Math.Sin(latitudeRad)) / (1 - Math.Sin(latitudeRad)))) - mapOffsetY);
return new Point()
{
X = Convert.ToInt32(x),
Y = Convert.ToInt32(y)
};
}
```

In addition to what Raphael Wichmann has posted (Thanks, by the way!), here is the reverse function, in actionscript :

```
function convertPixelToGeo(tx:Number, ty:Number):Point
{
/* called worldMapWidth in Raphael's Code, but I think that's the radius since it's the map width or circumference divided by 2*PI */
var worldMapRadius:Number = mapWidth / mapLonDelta * 360/(2 * Math.PI);
var mapOffsetY:Number = ( worldMapRadius / 2 * Math.log( (1 + Math.sin(mapLatBottomRadian) ) / (1 - Math.sin(mapLatBottomRadian)) ));
var equatorY:Number = mapHeight + mapOffsetY;
var a:Number = (equatorY-ty)/worldMapRadius;
var lat:Number = 180/Math.PI * (2 * Math.atan(Math.exp(a)) - Math.PI/2);
var long:Number = mapLonLeft+tx/mapWidth*mapLonDelta;
return new Point(lat,long);
}
```

Here's another Javascript implementation. This is a simplification of @Rob Willet's solution above. Instead of requiring computed values as parameters to the function, it only requires essential values and computes everything from them:

```
function convertGeoToPixel(latitude, longitude,
mapWidth, // in pixels
mapHeight, // in pixels
mapLngLeft, // in degrees. the longitude of the left side of the map (i.e. the longitude of whatever is depicted on the left-most part of the map image)
mapLngRight, // in degrees. the longitude of the right side of the map
mapLatBottom) // in degrees. the latitude of the bottom of the map
{
const mapLatBottomRad = mapLatBottom * Math.PI / 180
const latitudeRad = latitude * Math.PI / 180
const mapLngDelta = (mapLngRight - mapLngLeft)
const worldMapWidth = ((mapWidth / mapLngDelta) * 360) / (2 * Math.PI)
const mapOffsetY = (worldMapWidth / 2 * Math.log((1 + Math.sin(mapLatBottomRad)) / (1 - Math.sin(mapLatBottomRad))))
const x = (longitude - mapLngLeft) * (mapWidth / mapLngDelta)
const y = mapHeight - ((worldMapWidth / 2 * Math.log((1 + Math.sin(latitudeRad)) / (1 - Math.sin(latitudeRad)))) - mapOffsetY)
return {x, y} // the pixel x,y value of this point on the map image
}
```

I know the question was asked a while ago, but the Proj4JS library is ideal for transforming between different map projections in JavaScript.

UK maps tend to use the OSGB's National Grid which is based on a Transverse Mercator projection. Ie. like a conventional Mercator but turned 90 degrees, so that the "equator" becomes a meridian.

This function works great for me because I want to define the mapHeight based on the map I want to plot. I'm generating PDF maps. All I need to do is pass in the map's max Lat , min Lon and it returns the pixels size for the map as [height,width].

convertGeoToPixel(maxlatitude, maxlongitude)

One note in the final step where $y is set, do not subtract the calculation from the mapHeight if your coordinate system 'xy' starts at the bottom/left , like with PDFs, this will invert the map.

```
$y = (($worldMapWidth / 2 * log((1 + sin($lat)) / (1 - sin($lat)))) - $mapOffsetY);
```

©2020 All rights reserved.