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        "author": "David Zwarg",
        "author_email": "dzwarg@azavea.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering :: GIS"
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        "description": "django-sld\n==========\n\nA django library that generates SLD documents from geographic models.\n\nRequirements\n============\n\n  - *django* Required for models and spatial fields.\n  - *python-sld* Required for reading and generating SLD XML files.\n  - *pysal* Required for classification algorithms.\n  - *colorbrewer* Required for color lookup definitions.\n\nTo install these requirements, you may use pip to install these packages\n(except for django) with this command:\n\n    > sudo pip install -r requirements.txt\n\nInstallation\n============\n\n    > easy_install django-sld\n\n    OR\n\n    > pip install django-sld\n\nUsage\n=====\n\nThis library implements a single module named \"generator\" that contains all\nthe methods of interacting with the classification algorithms. Assuming that\nyou have a geographic model in geodjango, you may classify your distribution\nwith by constructing a queryset, and feeding it to the generator.\n\nAssuming you have a spatial model named *MySpatialModel*, with a data field \nof *population*, you can classify all your data into 10 quantile classes with:\n\n    from djsld import generator\n\n    qs = MySpatialModel.objects.all()\n    sld = generator.as_quantiles(qs, 'population', 10)\n\nYou may also any queryset to generate classes, such as a filtered queryset:\n\n    qs = MySpatialModel.objects.filter(owner__name = 'David')\n    sld = generator.as_quantiles(qs, 'population', 10)\n\nIf your spatial model has a different geometry column name other than 'geom',\nyou may specify that field as the *geofield* keyword:\n\n    sld = generator.as_quantiles(qs, 'population', 10, geofield='state')\n\nThe data field may also be distantly related to the queryset in question. For\nthis example, assume that *MySpatialModel* has a foreign key to a model named\n*Route*, and that the data value you would like to classify is a field of the \n*Route* model:\n\n    sld = generater.as_quantiles(qs, 'route__traffic', 10)\n\nBy default, all the generator methods use a plain black-to-white color ramp.\nThe number of classes must match an available color scheme, or the color ramp\nwill default to black-to-white. You may specify a colorbrewer ramp name with \nthe *colorbrewername* keyword:\n\n    sld = generator.as_quantiles(qs, 'population', 9, colorbrewername='Greys')\n\nYou may also reverse the order of the ramp, by specifying the *invertgradient*\nkeyword:\n\n    sld = generator.as_quantiles(qs, 'population', 9, colorbrewername='Reds',\n        invertgradient=True)\n\n\nSupport\n=======\n\nIf you have any problems, questions, or comments, please visit the django-sld\nproject on github: https://github.com/azavea/django-sld/",
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        "keywords": "ogc sld geo geoserver mapserver osgeo geodjango",
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