Posts Tagged ‘TMS’

Tiled Maps 2.0

Thursday, July 11th, 2013

TiledMaps iconAfter quite a lot of tinkering, and a quite a lot of distraction with real life adventures, Tiled Maps 2.0 is out. There’s been a substantial change under the hood so it should load a lot faster and handle many more maps, but there are new features too:

  • Displays GPX files so you can take your tracks, routes and waypoints anywhere you go
  • Drop pins on to the map to record points of interest
  • Adjust the transparency of maps so you can mix topographic and shaded relief layers together
  • Reorder maps to stack them how you wish
  • Resizes nicely on iPhone 5 screens (yes I know I’m late on that one, but did you see I’ve now got a son to look after?)

Here’s a comparison of a USGS Topo map with and without a semitransparent shaded relief layer

Shaded relief demo

There are still a few more features to come, specifically related to GPX files, so grab Tiled Maps while it is still only 99ยข.
You can get more information over at WildmanSoftware.com or on iTunes.

Introducing Tiled Maps

Tuesday, October 16th, 2012

I’m proud to announce Tiled Maps has been accepted into the iTunes app store and now available for purchase. TiledMaps iconTiled Maps lets you take your maps with you where ever you go. The maps are stored on your iOS device so you’ll have access to them when you’re offline, which is great if you’re keen on taking long walks beyond cellphone coverage like I am. Tiled Maps is based on the TMS specification just like Google Maps and OpenLayers. Further information on how to prepare maps and load them into the app is available on the guide page.

Tiled Maps takes full advantage of what ever device it is on, meaning a specialized interface for iPhones and iPads, not just a stretched screen like some older map apps. The map can follow your location and even rotate the maps to match the way the device is facing if you prefer to be “in the map”.


TiledMaps iPad screenshot
TIledMaps in the app store now

Geotiffs: Stage 1 seamless USGS map tile sets

Tuesday, June 7th, 2011

For a little while now I’ve been manipulating the excellent USGS geotiffs to fed my PCT mapping fetish. Since I’ve worked out a good enough system I thought I might share it with the world.

First off you’ll need a bunch of stuff installed on your computer.

With those installed you’re ready to follow my process.

1. Remove the collar

The USGS maps that I’ve been using come with a ‘collar’, that bit around the outside of the actual map data that you’d have to cut off if you were printing them out and sticking them together.


USGS maps with collars

Before cutting the collar off make sure to keep a copy of the original tiff because most image editing programs will lose the geo data when you press Save. In Photoshop I had to convert the image to RGB mode so that I could make the outside part transparent. It’s important not to change the size of the image. The embedded coordinates are for the corner of the tiff even though the map doesn’t reach there. Save the image and get back to the command line for step 2.

USGS maps with collars

2. Restore the geospatial data

The new tiff you have just saved does not have the embedded coordinates that it started with. So long as you kept a copy of the original file you can reinstate the data using the following command and the gdalcopyproj program.

> gdalcopyproj.py original_file.tif new_file.tif

3. Create a Virtual Tile Set

If you’re combining multiple maps you’ll either need to merge them into one large file or create a virtual tile set like this

>gdalbuildvrt -srcnodata b4 -hidenodata merged.vrt *.tif

The “b4″ tells GDAL that band four of your images is the transparency layer, and the “hidenodata” tells it that when two maps overlap, hide the one that has no data (is transparent). Without that the transparent collars of the geotifs erase useful content from geotifs they join up with.

You can merge the files like this

> gdalwarp -co COMPRESS=LZW *.tif merged.tif

But it won’t do the compression until the end, so with USGS maps you’ll be generating files over 1GB even if you only have a few source maps. The virtual tile set method is definitely quicker and takes less disk space.

4. Cutting the tiles

The following command will take either your merged geotif file, or the virtual tile set as the first parameter and an output directory as the second (which will be created if it doesn’t exist).

>gdal2tiles.py merged.vrt tiles

The process can take quite a while, but it starts with the most detailed layer and each one after that is about 4 times faster than the previous one. When it’s complete you’ll have a full TMS tile stack ready for use on web map systems such as Google Maps and OpenLayers and my iOS app Tiled Maps. Next time I’ll post the scripts I use to optimise a tile set down from ~1.7Gb to 700Mb.