Metadata-Version: 1.1
Name: kvadratnet
Version: 0.2.2
Summary: Python tools for working with the Danish Kvadratnet tiling scheme.
Home-page: https://github.com/kbevers/kvadratnet
Author: Kristian Evers
Author-email: kristianevers@gmail.com
License: ISC
Description: kvadratnet
        ==========
        
        Kvadratnet is a set of tools that makes working with the Danish
        Kvadratnet easier.
        
        |Build Status| |Coverage Status|
        
        Introduction
        ------------
        
        The Danish Kvadratnet is a geographical tiling scheme based on UTM
        coordinates. The tiling scheme is a national standard for dividing
        nation-wide geographical datasets into smaller pieces.
        
        The Danish Kvadratnet was originally created as a collaboration between
        `Statitics Denmark <http://dst.dk/>`__ and the `National Survey and
        Cadastre of Denmark <http://sdfe.dk/>`__ as a static administrative
        geographical subdivision of the country. The reasoning behind this was
        that usual administrative boundaries, such as municipal boundaries, are
        known to change from time to time and are therefore not very suitable as
        a geographical administrative index.
        
        The Danish Kvadratnet consist of a several **networks** that covers the
        country with square tiles of varying sizes. Supported tile sizes are:
        100m, 250m, 1km, 10km, 50km and 100km. Individual tiles are identified
        by tile size and the coordinates of the lower left corner of a tile. The
        coordinates are truncated accordinging to the size of the tile i.e.
        1km\_6452\_523. Examples of tile identifiers can be seen in the table
        below:
        
        +-----------+-----------------------+
        | Network   | Tile name example     |
        +===========+=======================+
        | 100km     | 100km\_62\_5          |
        +-----------+-----------------------+
        | 50km      | 50km\_620\_55         |
        +-----------+-----------------------+
        | 10km      | 10km\_622\_57         |
        +-----------+-----------------------+
        | 1km       | 1km\_6223\_576        |
        +-----------+-----------------------+
        | 250m      | 250m\_622375\_57550   |
        +-----------+-----------------------+
        | 100m      | 100m\_62237\_5756     |
        +-----------+-----------------------+
        
        Use of the kvadratnet module is not limited to the geographical area of
        Denmark. The tiling scheme can be applied to any region on earth as the
        UTM coordinate system is defined worlwide. Care has to be taken in case
        use of the tiling scheme spans more than one UTM zone, since coordinates
        are duplicated across zones. This can be solved by keeping all data in
        the same UTM zone, even though some of it might be placed outside the
        zone. By using robust UTM coordinate transformation libraries, such as
        the Extended Transverse Mercator implementation in ``proj.4``, data can
        be kept in the same coordinate system even though it spans several UTM
        zones. This exact procedure is used by the Grenland Survey,
        `Asiaq <http://www.asiaq.gl/>`__, which organizes data across 10 UTM
        zones.
        
        Example
        -------
        
        Example of using ``kvadratnet``
        
        Suppose you have a range of files organized in the 1km network. We want
        to count how many 1km tiles are present in each parent 10km tile.
        
        .. code:: python
        
            from collections import Counter
            import kvadratnet
        
            files = ['dtm_1km_6121_867.tif', 'dtm_1km_6125_866.tif',
                     'dtm_1km_6125_862.tif', 'dtm_1km_6423_512.tif',
                     'dtm_1km_6253_234.tif', 'dtm_1km_6235_634.tif',
                     'dtm_1km_6424_513.tif', 'dtm_lkm_5223_523.tif',
                     'dtm_1km_6251_236.tif', 'dtm_1km_6424_517.tif']
        
            counter = Counter()
        
            for filename in files:
                try:
                    name = kvadratnet.tile_name(filename)
                except:
                    counter['bad_name'] += 1
                parent = kvadratnet.parent_tile(name, '10km')
                counter[parent] += 1
        
            print(counter)
            # Counter({'10km_642_51': 4, '10km_612_86': 3, '10km_625_23': 2, '10km_623_63': 1, 'bad_name': 1})
        
        Installation
        ------------
        
        Installation can be done either via
        
        ::
        
            pip install kvadratnet
        
        or by downloading the source code and running
        
        ::
        
            python setup.py install
        
        Testing
        -------
        
        ``nose`` is used for testing. The test-suite can be invoked by running
        
        ::
        
            nosetests -v
        
        .. |Build Status| image:: https://travis-ci.org/kbevers/kvadratnet.svg?branch=master
           :target: https://travis-ci.org/kbevers/kvadratnet
        .. |Coverage Status| image:: https://coveralls.io/repos/github/kbevers/kvadratnet/badge.svg?branch=master
           :target: https://coveralls.io/github/kbevers/kvadratnet?branch=master
        
Keywords: kvadratnet gis tiling
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: ISC License (ISCL)
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: Topic :: Utilities
