Chapter 8. QGIS Workflows

In this chapter, we will cover the following recipes:

  • Creating an NDVI
  • Geocoding addresses
  • Creating raster footprints
  • Performing network analysis
  • Routing along streets
  • Tracking a GPS
  • Creating a mapbook
  • Finding the least cost path
  • Performing nearest neighbor analysis
  • Creating a heat map
  • Creating a dot density map
  • Collecting field data
  • Computing road slope using elevation data
  • Geolocating photos on the map
  • Image change detection

Introduction

In this chapter, we'll use Python to perform a variety of common geospatial tasks in QGIS, which may be complete workflows in themselves or key pieces of larger workflows.

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