webdesignfoki.blogg.se - Maptiler no html

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v, –verbose Print status messages to stdout

NODATA transparency value to assign to the input data z ZOOM, –zoom=ZOOM Zoom levels to render (format:’2-5′ or ’10’). s SRS, –s_srs=SRS The spatial reference system used for the source input data Resampling method (average,near,bilinear,cubic,cubicspline,lanczos,antialias) – default ‘average’ Tile cutting profile (mercator,geodetic,raster) -default ‘mercator’ (Google Maps compatible) h, –help show this help message and exit –version show program’s version number and exit The syntax and list of possible parameters can be retrieved by opening up a command shell and calling: With these two in place, you can get on with calling the script. (If you don’t have the GDAL library itself installed, you can add this from the OSGEO4W installer as well).

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I don’t know much about python, so I won’t even attempt to explain this further, other than to say that the easiest fix is to install the requisite libraries from the OSGEO4W package, highlighted as follows: The reason is that, in addition to the GDAL library itself, you also need to install the python bindings for GDAL – allowing you to call into the GDAL functions from a python script. If you attempt to run the GDAL2Tiles.py script straight out of a newly compiled GDAL build, for example, you’ll most likely get the “No module named gdal” errors, as follows: Setting up GDAL2TilesĪlthough GDAL2Tiles.py comes bundled with GDAL library, it has dependencies on other libraries. To correct those issues, you’re going to have to ditch the pretty MapTiler front-end and get dirty with the command-line instead, manually running the GDAL2Tiles.py script that sits at the heart of MapTiler.

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Finally, the process always runs on a single thread, which means that, assuming you’re running on a multicore processor (as even most humble laptops and home computers are, these days), you’re not using the full processing capacity of your system to process those tiles.

Nor is there a way to control the compression/quality level of the PNG/JPG images created by the tile-cutting process. Crucially, I could see no way to specify the resampling method used when warping the input raster file into the Spherical Mercatorprojection suitable for Bing Maps / Google Maps, and resizing the data for different zoom levels.

Secondly, the front-end MapTiler interface does not expose all of the possible parameters of the underlying script.

Reading through the release notes on the GDAL site shows several bug fixes and enhancements have been introduced to the GDAL2Tiles.py script between these two versions. However, the GDAL2Tiles.py script maintained as part of the GDAL library, and packaged with the latest GDAL 1.8.1RC2release, is version 19288, dated April 2010.

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Firstly, the source code repository reveals that the current MapTiler executable was compiled using version 15748 of the GDAL2Tiles.py script, dated November 2008.The current version of MapTiler (download from ), for me, has three main shortcomings: However, like many GUI applications, in the process of simplifying the experience for the end user, MapTiler also loses some of the flexibility and power of the underlying script. Generally speaking, the application is reliable, easy-to-use, and generates pretty good quality results. This is an admirable objective in itself because, as noted in previous posts, simply trying to compile the components of a typical spatial tool chain can be quite a headache. Like all GUI wrappers, it provides a convenient front-end interface, and doesn’t require the end user to have any knowledge of command-line processing or build tools. MapTiler is essentially just a GUI wrapper around the GDAL2Tiles.py python script, which is distributed as part of GDAL.

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MapTiler is a Windows application that will reproject and cut any GDAL-supported datasource into a set of 256px x 256px image tiles, suitable for use as a custom tile layer in Google Maps or Bing Maps et al. So I’ve been using MapTiler to create some quick raster tilesets from a set of GeoTIFF images.