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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

Outputting and consuming GeoJSON

GML output may be considered by many as not too user-friendly, as XML in general is supposed to be machine readable, but not necessarily human readable (although once one gets used to it - it is not that scary anymore). Luckily, servers such as GeoServer can output data in GeoJSON. This makes things way easier, not only from the perspective of the user looking at the output, but also when it comes to coding the layers that consume it.

This time we will plug in some earthquake data - we will need the data we imported in Chapter 1, Importing Spatial Data, but this time let's put it into the webgis.earthquakes table.

If you happen to have removed the data from the imported_data schema, you will have to reimport the dataset. Otherwise, you can simply copy the data over with select * into webgis.earthquakes from imported_data.earthquakes_subset_with_geom.

Next, make sure to expose...

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