Book Image

Mastering PostGIS

By : Dominik Mikiewicz, Michal Mackiewicz , Tomasz Nycz
Book Image

Mastering PostGIS

By: Dominik Mikiewicz, Michal Mackiewicz , Tomasz Nycz

Overview of this book

PostGIS is open source extension onf PostgreSQL object-relational database system that allows GIS objects to be stored and allows querying for information and location services. The aim of this book is to help you master the functionalities offered by PostGIS- from data creation, analysis and output, to ETL and live edits. The book begins with an overview of the key concepts related to spatial database systems and how it applies to Spatial RMDS. You will learn to load different formats into your Postgres instance, investigate the spatial nature of your raster data, and finally export it using built-in functionalities or 3th party tools for backup or representational purposes. Through the course of this book, you will be presented with many examples on how to interact with the database using JavaScript and Node.js. Sample web-based applications interacting with backend PostGIS will also be presented throughout the book, so you can get comfortable with the modern ways of consuming and modifying your spatial data.
Table of Contents (9 chapters)

Composing and decomposing geometries


One can think of PostGIS geometries as building blocks. The smallest unit, the point, consists of a tuple (in the most common scenario of 2D geometries, a pair) of coordinates. Points can be then used as independent units or arranged into more complex shapes: MultiPoints and LineStrings. LineStrings can constitute a MultiLineString. Closed LineStrings can be treated as rings and form a Polygon. Finally, multiple polygons may form a MultiPolygon. PostGIS is equipped with functions for coupling and decoupling those geometric building blocks, which will be outlined in this section.

Composition and decomposition functions have different names, but in general they follow a similar pattern: composition is done by supplying an array of components or using a PostgreSQL aggregation, and decomposition is done by extracting individual components by their index or by exploding a geometry into multiple rows using a set-returning function. For details of each geometry...