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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

Retrieving and processing JSON data

Let's imagine our company provides data services for local governments. The company does not own or generate data; its services are mainly based on aggregating data from external sources and providing them in a digested form. One of the services offered is based on weather data, and provides early alerts when weather forecasts extend certain configured parameters.

In this example, we will simulate services for Polish local government and use the following data sources:

  • The third level of administrative boundaries of Poland
  • OpenWeatherMap data services

The administrative boundaries simulate our own data source from which we will be generating weather alerts, while OpenWeatherMap is a weather data service provider.

Importing shapefiles revisited

...
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