Book Image

Mastering Geospatial Analysis with Python

By : Silas Toms, Paul Crickard, Eric van Rees
Book Image

Mastering Geospatial Analysis with Python

By: Silas Toms, Paul Crickard, Eric van Rees

Overview of this book

Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Packt Upsell
Geoprocessing with Geodatabases

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. You can choose whichever version you like, however, this chapter was written using CentOS 7 because most of the tools you will be installing have also been tested on CentOS. CentOS is a Red Hat-based version of Linux. You can download an ISO at: