Lmgeo 1.1.0

Python raster GIS library with low memory requirements.

Low-Memory GEOgraphic information system library - lmgeo

Lmgeo is a Python raster GIS library with low memory requirements. Aim is to provide software building blocks with a low-memory footprint that can be used to automate specific tasks without necessarily requiring common GIS software like ArcGIS or QGIS.

These building blocks can be used in the following ways: - as basis for easy-to-use GIS applications with an interface designed according to the so-called LIME approach (less is more). Non-expert users can be taught how to use such applications for recurring tasks which would otherwise require the intervention of expert users. - as part of integrated software that deals with more than only the domain of GIS - to automate tasks which would cause ArcGIS / QGIS to reserve a lot of memory and would slow down the execution - to automate tasks that are error-prone in ArcGIS - e.g. certain raster GIS operations.

The folllowing principles were used in the implementation of lmgeo: - should work on any platform (Windows, Linux or Mac) - the library was implemented as much as possible in pure python with as few dependencies as possible - modular design, allowing easy replacement of components - a common interface for all classes dedicated to image formats - reading, processing and writing of image data as much as possible line by line, to limit memory usage.

Supported image formats: - ASCII grid (.asc) - Floating point rasters (.flt) - Band interleaved by line (.bil) - Band sequential (.bsq) - GeoTiff (.tif) - PCRaster (.map) - HDF5 (.hdf5) - NetCDF4 (.nc4).

Dependencies: - numpy - pylibtiff - PyTables - netCDF4 - pyproj - cython.

More documentation is in preparation. Feel free to ask if you need assistance.