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Mastering Geospatial Analysis with Python

You're reading from   Mastering Geospatial Analysis with Python Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788293334
Length 440 pages
Edition 1st Edition
Languages
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Authors (3):
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Silas Toms Silas Toms
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Silas Toms
Paul Crickard Paul Crickard
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Paul Crickard
Eric van Rees Eric van Rees
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Eric van Rees
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Table of Contents (18) Chapters Close

Preface 1. Package Installation and Management 2. Introduction to Geospatial Code Libraries FREE CHAPTER 3. Introduction to Geospatial Databases 4. Data Types, Storage, and Conversion 5. Vector Data Analysis 6. Raster Data Processing 7. Geoprocessing with Geodatabases 8. Automating QGIS Analysis 9. ArcGIS API for Python and ArcGIS Online 10. Geoprocessing with a GPU Database 11. Flask and GeoAlchemy2 12. GeoDjango 13. Geospatial REST API 14. Cloud Geodatabase Analysis and Visualization 15. Automating Cloud Cartography 16. Python Geoprocessing with Hadoop 17. Other Books You May Enjoy

Raster operations using GDAL

The GDAL library allows you to read and write both vector and raster data. To install GDAL on Windows, you will need the appropriate binaries:

You can download OSGeo4W, which contains the binaries, at: https://trac.osgeo.org/osgeo4w/

When you have the binaries, you can install gdal using conda, as follows:

conda install -c conda-forge gdal

In the following sections, you will learn how to load and work with a .tif file.

Using the GDAL library to load and query rasters

Now that you have gdal installed, import it using:

from osgeo import gdal

GDAL 2 is the most recent version. If you have an older version of gdal installed, you may need to import it using the following code:

import gdal
...
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