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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 FREE CHAPTER 2. Introduction to Geospatial Code Libraries 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

Installing the Hadoop framework

In this chapter, you will not configure each of the Hadoop framework components yourself. You will run a Docker image, which requires you to install Docker. Currently, Docker runs on Windows 10 Pro or Enterprise, but it runs much better on Linux or Mac. Hadoop also runs on Windows but requires you to build it from source, and so it will be much easier to run it on Linux. Also, the Docker image you will use is running Linux, so getting familiar with Linux may be beneficial. In this section, you will learn how to install Linux.

Installing Linux

The first step to set up the Hadoop framework is to install Linux. You will need to get a copy of a Linux operating system. There are many flavors of Linux...

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