Introduction
This chapter focuses on ways to structure data using the functionality provided by the combination of PostgreSQL and PostGIS. These will be useful approaches for structuring and cleaning up imported data, converting tabular data into spatial data on the fly when it is entered, and maintaining relationships between tables and datasets using functionality endemic to the powerful combination of PostgreSQL and PostGIS. There are three categories of techniques with which we will leverage these functionalities: automatic population and modification of data using views and triggers, object orientation using PostgreSQL table inheritance, and using PostGIS functions (stored procedures) to reconstruct and normalize problematic data.
Automatic population of data is where the chapter begins. By leveraging PostgreSQL views and triggers, we can create ad hoc and flexible solutions to create connections between and within the tables. By extension, and for more formal or structured cases, PostgreSQL...
