{
    "info": {
        "author": "\u00d6mer \u00d6zak",
        "author_email": "omer@omerozak.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: GIS",
            "Topic :: Utilities"
        ],
        "description": ".. PyPI download statistics are broken, but the new PyPI warehouse makes PyPI\n.. download statistics available through Google BigQuery\n.. (https://bigquery.cloud.google.com).\n.. Query to list package downloads by version:\n..\n   SELECT\n     file.project,\n     file.version,\n     COUNT(*) as total_downloads,\n     SUM(CASE WHEN REGEXP_EXTRACT(details.python, r\"^([^\\.]+\\.[^\\.]+)\") = \"2.6\" THEN 1 ELSE 0 END) as py26_downloads,\n     SUM(CASE WHEN REGEXP_EXTRACT(details.python, r\"^([^\\.]+\\.[^\\.]+)\") = \"2.7\" THEN 1 ELSE 0 END) as py27_downloads,\n     SUM(CASE WHEN REGEXP_EXTRACT(details.python, r\"^([^\\.]+)\\.[^\\.]+\") = \"3\" THEN 1 ELSE 0 END) as py3_downloads,\n   FROM\n     TABLE_DATE_RANGE(\n       [the-psf:pypi.downloads],\n       TIMESTAMP(\"19700101\"),\n       CURRENT_TIMESTAMP()\n     )\n   WHERE\n     file.project = 'georasters'\n   GROUP BY\n     file.project, file.version\n   ORDER BY\n     file.version DESC\n\nGeoRasters\n===========\n\n|PyPiVersion|_\n|PyPiDownloads|_\n|BuildStatus|_ \n|CoverageStatus|_\n\nThe ``GeoRasters`` package is a python module that provides a fast and flexible\ntool to work with GIS raster files. It provides the GeoRaster class, which makes working with rasters quite transparent and easy.\nIn a way it tries to do for rasters what GeoPandas does for geometries.\n\nIt includes tools to \n\n- Merge rasters\n- Plot rasters\n- Extract information from rasters\n- Given a point (lat,lon) find its location in a raster\n- Aggregate rasters to lower resolutions\n- Align two rasters of different sizes to common area and size\n- Get all the geographical information of raster\n- Create GeoTiff files easily\n- Load GeoTiff files as masked numpy rasters\n- Clip raster using geometries\n- Get zonal statistics using geometries\n- Spatial analysis tools\n\nInstall\n-------\n\n.. code-block:: python\n\n    pip install git+git://github.com/ozak/georasters.git\n    pip install georasters\n\nExample Usage: GeoRasters\n-------------------------\n\n.. code-block:: python\n\n    import georasters as gr\n\n    # Load data\n    raster = './data/slope.tif'\n    data = gr.from_file(raster)\n\n    # Plot data\n    data.plot()\n\n    # Get some stats\n    data.mean()\n    data.sum()\n    data.std()\n\n    # Convert to Pandas DataFrame\n    df = data.to_pandas()\n\n    # Save transformed data to GeoTiff\n    data2 = data**2\n    data2.to_tiff('./data2')\n\n    # Algebra with rasters\n    data3 = np.sin(data.raster) / data2\n    data3.plot()\n\n    # Notice that by using the data.raster object, \n    # you can do any mathematical operation that handles \n    # Numpy Masked Arrays\n\n    # Find value at point (x,y) or at vectors (X,Y)\n    value = data.map_pixel(x,y)\n    Value = data.map_pixel(X,Y)\n\nExample Merge GeoRasters:\n-------------------------\n\n.. code-block:: python\n\n    import os\n    import georasters as gr\n    import matplotlib.pyplot as plt\n\n    DATA = \"/path/to/tiff/files\"\n\n    # Import raster\n    raster = os.path.join(DATA, 'pre1500.tif')\n    data = gr.from_file(raster)\n    (xmin, xsize, x, ymax, y, ysize) = data.geot\n\n    # Split raster in two\n    data1 = gr.GeoRaster(\n        data.raster[:data.shape[0] / 2, :],\n        data.geot,\n        nodata_value=data.nodata_value,\n        projection=data.projection,\n        datatype=data.datatype,\n    )\n    data2 = gr.GeoRaster(\n        data.raster[data.shape[0] / 2:, :],\n        (xmin, xsize, x, ymax + ysize * data.shape[0] / 2, y, ysize),\n        nodata_value=data.nodata_value,\n        projection=data.projection,\n        datatype=data.datatype,\n    )\n\n    # Plot both parts and save them\n    plt.figure(figsize=(12, 8))\n    data1.plot()\n    plt.savefig(os.path.join(DATA, 'data1.png'), bbox_inches='tight')\n\n.. image :: ./tests/data/data1.png\n\n.. code-block:: python\n\n    plt.figure(figsize=(12,8))\n    data2.plot()\n    plt.savefig(os.path.join(DATA,'data2.png'), bbox_inches='tight')\n\n.. image :: ./tests/data/data2.png\n\n.. code-block:: python\n\n    # Generate merged raster\n\n    data3 = data1.union(data2)\n\n    # Plot it and save the figure\n\n    plt.figure(figsize=(12,8))\n    data3.plot()\n    plt.savefig(os.path.join(DATA,'data3.png'), bbox_inches='tight')\n\n.. image :: ./tests/data/data3.png\n\n\nAnother Merge:\n--------------\n\n\nExample Usage: Other functions\n------------------------------\n\n.. code-block:: python\n\n    import georasters as gr\n\n    # Get info on raster\n    NDV, xsize, ysize, GeoT, Projection, DataType = gr.get_geo_info(raster)\n\n    # Load raster\n    data = load_tiff(raster)\n\n    # Find location of point (x,y) on raster, e.g. to extract info at that location\n    col, row = gr.map_pixel(x,y,GeoT[1],GeoT[-1], GeoT[0],GeoT[3])\n    value = data[row,col]\n\n    # Agregate raster by summing over cells in order to increase pixel size by e.g. 10\n    gr.aggregate(data,NDV,(10,10))\n\n    # Align two rasters\n    data2 = load_tiff(raster2)\n    (alignedraster_o, alignedraster_a, GeoT_a) = gr.align_rasters(raster, raster2, how=np.mean)\n\n    # Create GeoRaster\n    A=gr.GeoRaster(data, GeoT, nodata_value=NDV)\n\n    # Load another raster\n    NDV, xsize, ysize, GeoT, Projection, DataType = gr.get_geo_info(raster2)\n    data = load_tiff(raster2)\n    B=gr.GeoRaster(data2, GeoT, nodata_value=NDV)\n\n    # Plot Raster\n    A.plot()\n\n    # Merge both rasters and plot\n    C=B.merge(A)\n    C.plot()\n\nIssues\n------\n\nFind a bug? Report it via github issues by providing\n\n- a link to download the smallest possible raster and vector dataset necessary to reproduce the error\n- python code or command to reproduce the error\n- information on your environment: versions of python, gdal and numpy and system memory\n\n.. |BuildStatus| image:: https://api.travis-ci.org/ozak/georasters.png\n.. _BuildStatus: https://travis-ci.org/ozak/georasters\n\n.. |CoverageStatus| image:: https://img.shields.io/coveralls/ozak/georasters.svg\n.. _CoverageStatus: https://coveralls.io/r/ozak/georasters\n\n.. |PyPiVersion| image:: https://img.shields.io/pypi/v/georasters.svg\n.. _PyPiVersion: :target: https://pypi.python.org/pypi/georasters/\n    :alt: Version on Pypi\n\n.. |PyPiDownloads| image:: https://img.shields.io/pypi/dm/georasters.svg\n.. _PyPiDownloads:     :target: https://pypi.python.org/pypi/georasters/\n     :alt: Pypi downloads\n\n\n",
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        "keywords": "gis geospatial geographic raster vector zonal statistics spatial analysis",
        "license": "GPLv3",
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        "maintainer_email": "",
        "name": "georasters",
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