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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

Consuming WFS in ol3

Leaflet does not read WFS, so our WFS example will be OpenLayers only. Consuming WFS means reading, retrieving, and rendering vector data on the client side. Such processes may be intensive on PC resources - we will therefore use a rather small dataset with the ne_reefs vector so we do not have to bother with performance issues when dealing with larger vector datasets.

There are different techniques for dealing with large datasets, such as the bounding box strategy, mixing WMS for smaller scales, displaying with WFS for larger scale display, and using vector tiles. Those are not specific to the data source as such, and therefore I will not elaborate on the subject.

Our web example will be very similar to the previous one with WMS only. The different part is the layers declaration:

createLayers: function(){ 
var proj = ol.proj.get('EPSG:4326');
format = new ol.format.WFS...
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