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Mastering Geospatial Analysis with Python
book

Mastering Geospatial Analysis with Python

by Silas Toms, Paul Crickard, Eric van Rees
April 2018
Beginner to intermediate content levelBeginner to intermediate
440 pages
11h 36m
English
Packt Publishing
Content preview from Mastering Geospatial Analysis with Python

Generating data models

After configuring GeoDjango, a new available function in manage.py is available, ogrinspect, which automatically generates data table models with geometry columns that can be placed in models.py. By inspecting or reading the shapefile data using OGR, Django's built-in functionality creates a Python class data model and a field mapping dictionary that maps between the names of shapefile fields and database columns. 

For this section, we will use the shapefiles downloaded in Chapter 11, Flask and GeoAlchemy2. They are also available in the code package. Copy the four shapefiles (and all of the associated files) into a folder called data within the arenas application folder:

Open a command prompt, and change the directory ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content