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PostGIS Cookbook

You're reading from   PostGIS Cookbook Store, organize, manipulate, and analyze spatial data

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Product type Paperback
Published in Mar 2018
Publisher
ISBN-13 9781788299329
Length 584 pages
Edition 2nd Edition
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Authors (6):
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Pedro Wightman Pedro Wightman
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Pedro Wightman
Bborie Park Bborie Park
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Bborie Park
Paolo Corti Paolo Corti
Author Profile Icon Paolo Corti
Paolo Corti
Stephen Vincent Mather Stephen Vincent Mather
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Stephen Vincent Mather
Thomas Kraft Thomas Kraft
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Thomas Kraft
Mayra Zurbarán Mayra Zurbarán
Author Profile Icon Mayra Zurbarán
Mayra Zurbarán
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Table of Contents (14) Chapters Close

Preface 1. Moving Data In and Out of PostGIS FREE CHAPTER 2. Structures That Work 3. Working with Vector Data – The Basics 4. Working with Vector Data – Advanced Recipes 5. Working with Raster Data 6. Working with pgRouting 7. Into the Nth Dimension 8. PostGIS Programming 9. PostGIS and the Web 10. Maintenance, Optimization, and Performance Tuning 11. Using Desktop Clients 12. Introduction to Location Privacy Protection Mechanisms 13. Other Books You May Enjoy

Introduction


In this chapter, we will explore the 3D capabilities of PostGIS. We will focus on three main categories: how to insert 3D data into PostGIS, how to analyze and perform queries using 3D data, and how to dump 3D data out of PostGIS. This chapter will use 3D point clouds as 3D data, including LiDAR data and those derived from Structure from Motion (SfM) techniques. Additionally, we will build a function that extrudes building footprints to 3D.

It is important to note that for this chapter, we will address the postgreSQL-pointcloud extension; point clouds are usually large data sets of a three dimensional representation of point coordinates in a coordinate system. Point clouds are used to represent surfaces of sensed objects with great accuracy, such as by using geographic LiDAR data. The pointcloud extension will help us store LiDAR data into point cloud objects in our database. Also, this extension adds functions that allow you to transform point cloud objects into geometries and...

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