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Copy file name to clipboardExpand all lines: workshop/jupyter/content/notebooks/04-vector-data.ipynb
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"There are currently [over 100 vector data formats](https://gdal.org/drivers/vector/index.html) used for storage, e.g. files, and for data transfer.\n",
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"The most common formats are presented below. \n",
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"\n",
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"> Tip: [ogr2ogr](https://gdal.org/programs/ogr2ogr.html) is a GDAL/OGR commandline utility\n",
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"> Tip: [gdal vector convert](https://gdal.org/en/stable/programs/gdal_vector_convert.html) is a GDAL commandline utility\n",
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"> that allows you to convert between most vector formats. \n",
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"\n",
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"### ESRI Shapefile\n",
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"[PostGIS](https://postgis.net) adds support for geographic objects to the PostgreSQL object-relational database. \n",
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"In effect, PostGIS \"spatially enables\" the PostgreSQL server, allowing it to be \n",
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"used as a backend spatial database for geographic information systems (GIS), \n",
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"much like ESRI's SDE or Oracle's Spatial extension. \n",
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"much like Oracle's Spatial extension. \n",
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"PostGIS follows the OGC [Simple Features Specification for SQL](https://www.opengeospatial.org/standards/sfs) \n",
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"and has been certified as compliant with the \"Types and Functions\" profile. \n",
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"Within Python there is an ample choice of libraries to interact with vector data. The\n",
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"most popular are:\n",
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"* [Python bindings](https://gdal.org/python/) for [GDAL OGR](https://gdal.org/), a.k.a. \"OGR\"\n",
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"* [Python bindings](https://gdal.org/en/stable/api/python/index.html) for [GDAL](https://gdal.org/), a.k.a. [OGR](https://gdal.org/en/stable/glossary.html#term-OGR)\n",
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