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 Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837639175
Length 432 pages
Edition 4th Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (18) Chapters Close

Preface 1. Part 1:The History and the Present of the Industry
2. Chapter 1: Learning about Geospatial Analysis with Python FREE CHAPTER 3. Chapter 2: Learning about Geospatial Data 4. Chapter 3: The Geospatial Technology Landscape 5. Part 2:Geospatial Analysis Concepts
6. Chapter 4: Geospatial Python Toolbox 7. Chapter 5: Python and Geospatial Algorithms 8. Chapter 6: Creating and Editing GIS Data 9. Chapter 7: Python and Remote Sensing 10. Chapter 8: Python and Elevation Data 11. Part 3:Practical Geospatial Processing Techniques
12. Chapter 9: Advanced Geospatial Modeling 13. Chapter 10: Working with Real-Time Data 14. Chapter 11: Putting It All Together 15. Assessments 16. Index 17. Other Books You May Enjoy

Using QGIS

Before we get started with creating geospatial data with Python, we’ll need a way to view some of the datasets for the rest of the book. For that, we’ll use the Python-friendly, open source QGIS. QGIS is a free and comprehensive geographic information system program. For this book, we will use it as a simple data viewer. You can download it for Windows, Linux, and macOS from https://www.qgis.org. Follow the instructions on the website to install it for your platform. Once installed, you will have a desktop icon to launch it. When you open QGIS, you will be presented with the New empty project option, which you can double-click to create a new map canvas. You can then drag files from your filesystem, both vector and raster, onto the map to view and interact with them. The following screenshot shows a satellite image with which we will work in this chapter, having been dragged from the filesystem onto the blank map canvas for viewing:

Figure 4.1 – QGIS allows you to quickly and easily view geospatial data by simply dragging it onto the map canvas
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