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Update 07-read-write.qmd
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Nowosad authored May 31, 2024
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Expand Up @@ -245,7 +245,7 @@ The large variety of file formats may seem bewildering, but there has been much
GDAL (which originally was pronounced as "goo-dal", with the double "o" making a reference to object-orientation), the Geospatial Data Abstraction Library, has resolved many issues associated with incompatibility between geographic file formats since its release in 2000.
GDAL provides a unified and high-performance interface for reading and writing of many raster and vector data formats.
Many open and proprietary GIS programs, including GRASS, ArcGIS and QGIS, use GDAL behind their GUIs for doing the legwork of ingesting and spitting out geographic data in appropriate formats.
Most Pyhton packages for working with spatial data, including **geopandas** and **rasterio** used in this book, also rely on GDAL for importing and exporting spatial data files.
Most Python packages for working with spatial data, including **geopandas** and **rasterio** used in this book, also rely on GDAL for importing and exporting spatial data files.

GDAL provides access to more than 200 vector and raster data formats.
@tbl-file-formats presents some basic information about selected and often used spatial file formats.
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