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  • Book Overview & Buying Mastering PostGIS
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Mastering PostGIS

Mastering PostGIS

By : George Silva, Mikiewicz, Michal Mackiewicz , Nycz
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Mastering PostGIS

Mastering PostGIS

1 (1)
By: George Silva, Mikiewicz, Michal Mackiewicz , 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 (10 chapters)
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Geocoding address data

Let's imagine that we have a potential customer database built upon yellow pages, with the customer locations expressed as addresses. I guess that using yellow pages may not be the best idea these days, but it makes a good starting point for this example.

We need to send our sales representatives to these addresses in order to establish relationships with the new customers, but first we should assign the customers to proper sales regions. Having seen St_Intersects in action already, searching for points in polygons seems like a trivial task. We need to have point geoms for this though, and we'll soon see how to go from addresses to geometry using some simple Node.js code.

Let's prepare our hypothetical new customers database first. We will reuse some data we have seen already, namely the Ordnance Survey GB address points. We imported this data in Chapter 1, Importing Spatial...

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