Mastering Geospatial Analysis with Python: Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

by Silas Toms, Eric van Rees, Paul Crickard

Overview

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.

Product Details

ISBN-13:	9781788293815
Publisher:	Packt Publishing
Publication date:	04/27/2018
Sold by:	Barnes & Noble
Format:	eBook
Pages:	440
File size:	35 MB
Note:	This product may take a few minutes to download.

About the Author

Silas Toms is a geographer and geospatial developer from California. Over the last decade, Silas has become an expert in the use of Python programming for geospatial analysis, publishing two books on the use of ArcPy. Now, as a President of Loki Intelligent Corporation, Silas develops ETL automation tools, interactive web maps, enterprise GIS, and location data for businesses and governments. Silas teaches classes on programming for GIS with BayGeo, and co-hosts The Mappyist Hour podcast.

Eric van Rees was first introduced to Geographical Information Systems (GIS) when studying Human Geography in the Netherlands. For 9 years, he was the editor-in-chief of GeoInformatics, an international GIS, surveying, and mapping publication and a contributing editor of GIS Magazine. During that tenure, he visited many geospatial user conferences, trade fairs, and industry meetings. He focuses on producing technical content, such as software tutorials, tech blogs, and innovative new use cases in the mapping industry.

Paul Crickard authored a book on the Leaflet JavaScript module. He has been programming for over 15 years and has focused on GIS and geospatial programming for 7 years. He spent 3 years working as a planner at an architecture firm, where he combined GIS with Building Information Modeling (BIM) and CAD. Currently, he is the CIO at the 2nd Judicial District Attorney's Office in New Mexico.

Table of Contents

Table of Contents

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 GeoAlchemy
12. GeoDjango
13. Creating a geospatial REST API
14. Cloud Geodatabase Analysis and Visualization
15. Automating Cloud Cartography
16. Python geoprocessing with Hadoop