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Mastering PostGIS

You're reading from   Mastering PostGIS Modern ways to create, analyze, and implement spatial data

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781784391645
Length 328 pages
Edition 1st Edition
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Authors (4):
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Dominik Mikiewicz Dominik Mikiewicz
Author Profile Icon Dominik Mikiewicz
Dominik Mikiewicz
Michal Mackiewicz Michal Mackiewicz
Author Profile Icon Michal Mackiewicz
Michal Mackiewicz
Tomasz Nycz Tomasz Nycz
Author Profile Icon Tomasz Nycz
Tomasz Nycz
George Silva George Silva
Author Profile Icon George Silva
George Silva
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Toc

Table of Contents (10) Chapters Close

Preface 1. Importing Spatial Data FREE CHAPTER 2. Spatial Data Analysis 3. Data Processing - Vector Ops 4. Data Processing - Raster Ops 5. Exporting Spatial Data 6. ETL Using Node.js 7. PostGIS – Creating Simple WebGIS Applications 8. PostGIS Topology 9. pgRouting

Implementing a simple CRUD application that demonstrates vector editing via web interfaces


Our final example in this chapter demonstrates some simple spatial CRUD functionality. CRUD stands for Create, Read, Update, Destroy, so to put it simply we'll edit some features on the map. We will do it using ol3.

WebGIS CRUD server in Node.js

In order to expose our crud API, we will need some storage for our features, so let's start with creating a table of the geometries first:

create table webgis.crud (id serial NOT NULL, geom geometry); 

Once this is ready, we will need a simple web server to handle our CRUD operations. Let's take care of that.

First, we need to put some packages in place:

npm install express --save
npm install body-parser --save
npm install pg --save

Once the appropriate packages are installed, let's create our server:

const pg = require("pg"); 
const express = require('express'); 
const app = express(); 

const bodyParser = require('body-parser'); 

// configure app to use bodyParser...
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