{
    "info": {
        "author": "Guilhain Averlant",
        "author_email": "g.averlant@mailfence.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: GIS"
        ],
        "description": "# Welcome to Geoformat\n\n## Introduction\n\nGeoformat is GDAL / OGR  overlayer wiht MIT licence.\nThe library aim is to simplify loading and OGR 'DataSource' and 'Layer' manipulations.\nUntil now this library is in Alpha mode. This means that for the moment the structure of this library is not\nfull oriented object compatible.\n\n## Installation\n\n\n```sh\n$ pip install geoformat\n```\n\n## Basic manipulations\n\n\n\n## Geoformat structure\n\n![Strucutre of Geoformat](https://framagit.org/Guilhain/Geoformat/raw/master/images/geoformat.png)\n\n## Geoformat metadata\n\n'metadata' key in geolayer root structure is used to inform the structure of the geolayer.\n\nIf geolayer contains attribute data \"fields\" key must be filled in.\nIf geolayer contains geometries data \"geometry_ref\" key must be filled in.\n\n\n### Field type\n\nEach field in geolayer must be filed in \"metadata\" => \"fields\" structure.\n\nIs informed : \n    - field name\n        - field type : you have to give code of field type (see table below)\n        - field width \n        - field precision\n        - field index\n        \n \n| Code | Name           |\n|------|----------------|\n| 0    | Integer        |\n| 1    | Boolean        |\n| 2    | Real           |\n| 3    | RealList       |\n| 4    | String         |\n| 5    | StringList     |\n| 6    | WideString     |\n| 7    | WideStringList |\n| 8    | Binary         |\n| 9    | Date           |\n| 10   | DateList       |\n| 11   | DateTime       |\n| 12   | Integer64      |\n| 13   | Integer64List  |\n\n### Geometry type\n\nEach geometrie in geolayer must be filed in \"metadata\" => \"geometry_ref\" structure.\n\nIs informed \n    - type : each geometries type code present in geolayer (see table below)\n    - crs :  coordinate reference systeme in WKT format or EPSG\n\n| Code | Name               |\n|------|--------------------|\n| 0    | Unknown            |\n| 1    | Point              |\n| 2    | LineString         |\n| 3    | Polygon            |\n| 4    | MultiPoint         |\n| 5    | MultiLinestring    |\n| 6    | MultiPolygon       |\n| 7    | GeometryCollection |\n| 100  | None               |\n\n\n## Examples \n\n### Open a geocontainer\n\nA container is an equivalent to folder or a database containing one or several geolayer.\n\n```py\nimport geoformat\n\ncommune_path = 'data/FRANCE_IGN/COMMUNE_2016_MPO_L93.shp'\ngare_path = 'data/FRANCE_IGN/GARES_PT_L93.shp'\n\nlayer_list = [commune_path, gare_path]\n\ngeocontainer = geoformat.ogr_layers_to_geocontainer(layer_list)\n\nprint(geocontainer['layers'].keys())\n\n# >>>dict_keys(['COMMUNE_2016_MPO_L93', 'GARES_PT_L93'])\n```\n\n### Open a geolayer\n\nA geolayer is an equivalent to a file or a table in database containing one or several features with attibutes and/or\ngeometry.\n\n```py\nimport geoformat\n\ndepartement_path = 'data/FRANCE_IGN/DEPARTEMENT_2016_L93.shp'\n\ngeolayer = geoformat.ogr_layer_to_geolayer(departement_path)\n\nprint(len(geolayer['features']))\n\n# >>>96\n```\n\n\n### Print data geolayer\n\nSometime it can be uselful to print in terminal geolayer's attributes.\n\n```py\nimport geoformat\n\nregion_path = 'data/FRANCE_IGN/REGION_2016_L93.shp'\n\ngeolayer = geoformat.ogr_layer_to_geolayer(region_path)\n\nfor line in geoformat.print_features_data_table(geolayer):\n    print(line)\n    \n### >>>\n+--------+----------+-------------------------------------+------------+------------+\n| i_feat | CODE_REG | NOM_REG                             | POPULATION | SUPERFICIE |\n+========+==========+=====================================+============+============+\n| 0      | 76       | LANGUEDOC-ROUSSILLON-MIDI-PYRENEES  | 5683878    | 7243041    |\n| 1      | 75       | AQUITAINE-LIMOUSIN-POITOU-CHARENTES | 5844177    | 8466821    |\n| 2      | 84       | AUVERGNE-RHONE-ALPES                | 7757595    | 7014795    |\n| 3      | 32       | NORD-PAS-DE-CALAIS-PICARDIE         | 5987883    | 3187435    |\n| 4      | 44       | ALSACE-CHAMPAGNE-ARDENNE-LORRAINE   | 5552388    | 5732928    |\n| 5      | 93       | PROVENCE-ALPES-COTE D'AZUR          | 4953675    | 3155736    |\n| 6      | 27       | BOURGOGNE-FRANCHE-COMTE             | 2819783    | 4746283    |\n| 7      | 52       | PAYS DE LA LOIRE                    | 3660852    | 2997777    |\n| 8      | 28       | NORMANDIE                           | 3328364    | 2728511    |\n| 9      | 11       | ILE-DE-FRANCE                       | 11959807   | 1205191    |\n| 10     | 24       | CENTRE-VAL DE LOIRE                 | 2570548    | 3905914    |\n| 11     | 53       | BRETAGNE                            | 3258707    | 2702269    |\n| 12     | 94       | CORSE                               | 320208     | 875982     |\n+--------+----------+-------------------------------------+------------+------------+\n\n```\n\n### Change geolayer coordinate reference system [CRS]\n\nIt can be usefull to change the projection for a layer.  In this example we will transform a geolayer in projection Lambert93 [EPSG:2154] to coordinates system WGS84 [EPSG:4326].\n\n```py\nimport geoformat\n\nregion_path = 'data/FRANCE_IGN/REGION_2016_L93.shp'\n\ngeolayer = geoformat.ogr_layer_to_geolayer(region_path)\n\ngeolayer = geoformat.reproject_geolayer(geolayer, out_crs=4326)\n\nprint(geolayer['metadata']['geometry_ref']['crs'])\n\n# >>>4326\n\n```\n\n\n### Write geolayer in a OGR compatible GIS file\n\nYou can obviously convert a geolayer in a compatible OGR file format.\nIn this case ye put a geolayer in 'ESRi SHAPEFILE' format and we create a new file in 'GEOJSON' (we add a reprojection because geojson should be in WGS84 coordinates system).\n\n```py\nimport geoformat\n\ngares_shp_path = 'data/FRANCE_IGN/GARES_L93.shp'\ngares_geojson_path =  'data/FRANCE_IGN/GARES_L93.geojson'\n\ngeolayer = geoformat.ogr_layer_to_geolayer(gares_shp_path)\n\ngeolayer = geoformat.reproject_geolayer(geolayer, out_crs=4326)\n\ngeoformat.geolayer_to_ogr_layer(geolayer, gares_geojson_path, 'GEOJSON')\n\n```\n\n### Write a container in OGR compatible dataSource\n\nLike geolayer you can write a geoformat container in a folder or a GRG compatible datasource.\nHere we have a geocontainer with a lot of layers and we want to save all of this in an other folder (but it can be also a 'POSTGRESQL' database).\n\n```py\nimport geoformat\n\n# INPUT\ncommune_path = 'data/FRANCE_IGN/COMMUNE_2016_MPO_L93.shp'\ngare_path = 'data/FRANCE_IGN/GARES_PT_L93.shp'\n\n# OUTPUT\noutput_folder = 'data/'\n\nlayer_list = [commune_path, gare_path]\n\ngeocontainer = geoformat.ogr_layers_to_geocontainer(layer_list)\n\ngeoformat.geocontainer_to_ogr_format(geocontainer, output_folder, 'kml')\n\n```",
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