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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

Concepts

Geospatial Analysis

Authors (3):

Silas Toms

Paul Crickard

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

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Index

Summary

In this chapter, we learned how to use the Flask MVC web framework and some of the available component modules that add extra functionality. These modules include the SQLAlchemy ORM, the GeoAlchemy2 ORM for geospatial queries, WTForms for processing of web data, and the Jinja2 templating system for creating web page templates. We created database tables, added data tables and tables relationships, and created a web application that utilized geospatial and relationship queries to generate dynamic web pages.

A fun challenge, building on the code reviewed here, would be to explore adding editing capabilities to the Arena application, allowing the user to move the arenas into their correct location if the data is out of date. Explore the GeoAlchemy2 ORM documentation for more advanced capabilities.

In the next chapter, we will review a similar MVC web framework, Django, and its GeoDjango spatial component. With more batteries included philosophy, Django solves the same problems inherent...

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Authors (3)

Silas Toms

Silas Toms is a long-time geospatial professional and author who has previously published ArcPy and ArcGIS and Mastering Geospatial Analysis with Python. His career highlights include developing the real-time common operational picture used at Super Bowl 50, building geospatial software for autonomous cars, designing computer vision for next-gen insurance, and developing mapping systems for Zillow. He now works at Volta Charging, predicting the future of electric vehicle adoption and electric charging infrastructure.

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Paul Crickard

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.

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Eric van Rees

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.

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