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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
Author Profile Icon Silas Toms
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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Toc

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

Hadoop basics

In this section, you will launch your Hadoop image and learn how to connect using ssh and Ambari. You will also move files and perform a basic Hive query. Once you understand how to interact with the framework, the next section will show you how to use a spatial query.

First, from the terminal, launch the Hortonworks Sandbox using the provided Bash script. The following command will show you how:

sudo sh start_sandbox-hdp.sh

The previous command executes the script you downloaded with the sandbox. Again, it used sudo to run as root. Depending on your machine, it may take some time to completely load and start all the services. When it is done, your terminal should look like it does in the following screenshot:

Connecting via Secure Shell

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