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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

Declaring the models

For the models, all of the field types (for example, Integer, String, and Float) are defined using SQLAlchemy ORM-column classes, except for the geometry columns, which use the GeoAlchemy2  Geometry class. The Geometry class requires a geometry type and SRID:

# Define the Arena class, which will model the Arena database tableclass Arena(Base):    __tablename__ = 'arena'    id = Column(Integer, primary_key=True)    name = Column(String)    longitude = Column(Float)    latitude = Column(Float)    geom = Column(Geometry(geometry_type='POINT', srid=4326))

The County class has a primary key field and a name field, as well as fields that define the many-to-one relationship with the State class. Instead of a POINT geometry type, it uses MULTIPOLYGON ...

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Publisher Resources

ISBN: 9781788293334Supplemental Content