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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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George Silva George Silva
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George Silva
 Mikiewicz Mikiewicz
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Mikiewicz
Michal Mackiewicz Michal Mackiewicz
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Michal Mackiewicz
 Nycz Nycz
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Nycz
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Toc

Table of Contents (9) Chapters Close

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

Processing and analysis


Now we are ready to start processing our dataset and make some scientific analysis.

The most common use cases of raster data are imagery, DEM, and statistical data. Right now, we'll look closer to Digital Elevation Model processing.

We can use the following:

  • ST_Slope
  • ST_Hillshade
  • ST_Aspect
  • ST_TPI
  • ST_TRI
  • ST_Roughness

All these functions are internally realized as MapAlgebra Callback functions. Later we will see how to do it on our way. So, calculate the slope values of our DEM data. The function syntax is like this:

ST_Slope(raster rast, integer nband=1, text pixeltype=32BF, text units=DEGREES, double precision scale=1.0, boolean interpolate_nodata=FALSE); 

We should especially pay attention to scale parameter. In case of geographical coordinate reference systems (such as our imported data), when units of distance are in degrees, and elevation in meters, use scale=111120, or in case of imperial units set it to 370400. Units parameter offers DEGREE, RADIANS, or PERCENT as a result...

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