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Mastering Geospatial Analysis with Python

You're reading from  Mastering Geospatial Analysis with Python

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788293334
Pages 440 pages
Edition 1st Edition
Languages
Authors (3):
Silas Toms Silas Toms
Profile icon Silas Toms
Paul Crickard Paul Crickard
Profile icon Paul Crickard
Eric van Rees Eric van Rees
Profile icon Eric van Rees
View More author details

Table of Contents (23) Chapters

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Package Installation and Management 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 1. Other Books You May Enjoy Index

Summary


In this chapter, you have learned how to use Python in QGIS. You started by learning the basics of loading a layer and displaying it on the map, and then progressed to adding, editing, and deleting features. You learned how to select features, highlight the selection, and how to use expressions. Then, we took advantage of pre-built geoprocessing tools and you learned how to call toolbox algorithms using processing. Lastly, you learned how to write your own toolbox.

In the next chapter, you will learn how to use Python with Esri tools. You will learn how to use Jupyter Notebooks in a browser to interact with cloud-based datasets and how to use the Esri API for Python to perform basic geospatial analysis and to create ArcGIS Online web maps.

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