Tracking Creatures of Bavarian Folklore Using a Least-Cost Path Model

Table of Contents

  1. Tracking Creatures of Bavarian Folklore Using a Least-Cost Path Model
  2. Setting up Your Workspace
  3. Preparing the Data
  4. Skill Drill: Geocoding an Address and Creating a CSV Table to Import As XY Data
  5. Skill Drill: Defining the Study Area
  6. Skill Drill: Acquire Elevation Data from the USGS National Map Viewer
  7. Skill Drill: Acquire Land Cover Data from the USGS National Map Viewer
  8. Skill Drill: Acquire Hydrography Data from the USGS National Map Viewer
  9. Changing Global Environment Settings for Raster Processing
  10. Creating Cost Surface Models Using a Relative Cost Scale
  11. Creating a Remap Table to Reclassify Elevation
  12. Skill Drill: Creating a Remap Table to Reclassify Slope
  13. Skill Drill: Creating a Remap Table to Reclassify Tree Canopy Density
  14. Converting the Hydrography Features to Cost Surface Models
  15. Creating a Total Cost Surface Model
  16. Creating a Cost-Distance Surface Model
  17. Creating a Migration Corridor
  18. Determining the Least-Cost Path
  19. Skill Drill: Creating a Map of the Results

Skill Drill: Creating a Remap Table to Reclassify Tree Canopy Density

Your next cost raster will be based on tree canopy density. The wolpertinger prefers to travel under dense canopy. Use the following values to create a remap table for the tree canopy raster.

  • A value of 1 for tree canopy density between 90 to 100 percent
  • A value of 2 for tree canopy density between 80 to 90 percent
  • A value of 3 for tree canopy density between 60 to 80 percent
  • A value of 5 for tree canopy density between 40 to 60 percent
  • A value of 7 for tree canopy density between 20 to 40 percent
  • A value of 10 for tree canopy density between 0 to 20 percent

Once the remap table has been created and saved as a CSV file, close Microsoft Excel and launch the Reclassify tool. Load the tree canopy remap table using the same methods you used in previous steps.

An image of the reclassify tool.

The tree canopy density layer has now been reclassified using the remap table. This layer now represents the relative cost or likelihood, on a scale of 1 through 10, that this species will traverse each pixel based on the tree canopy density.

An image of the canopy cost layer.
In this image, the ArcGIS software has assigned random colors to the pixel values between 1 and 10. Your results should look similar. Be sure there are no values beyond 1 through 10.