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Embedded Files
Model Builder Project
It's Been Nice Gnawing You!
It's Been Nice Gnawing You!
Beaver forced to relocate and find new home after landslide fills in pond.
Beaver forced to relocate and find new home after landslide fills in pond.
by Keli Trumpler
Overview: This project...
Context
Context
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Scenario and Questions
Scenario and Questions
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Questions:
Questions:
Figure X. Link to Slideshow overview of project.
Methodologies:
Methodologies:
Firstly the data was reorganized and projected from its coodinate system NAD83 long/lat to
1. Data
1. Data
From the data set provided, I used the following files as follows:
Set X (raster) → used as Y
Set A (point) → used as B
To ensure proper downstream analyses, I projected all of the data from NAD 1983 to UTM Zone 19...
2. Model Builder
2. Model Builder
Euclidean distance was used on three data layers to represent points of interest in the remote area and slope was determined for the elevation which was treated as sea conditions. These four were then reclassified to be evaluated by the same scale and then combined into a weighted overlay to determine a cost surface map, whereby weights were assigned as follows: 10% sea conditions, 30% protected areas, 30% reefs and 30% shipwrecks.
Figure 1. Full Model Builder workflow for project.
3. Python Script
3. Python Script
Two main loops were used in the python script:
Loop 1: Determining XYZ
Loop 2: Retrieving ABC
Results
Results
In the initial model builder processes, the data which collectively represented feature points of interest for the dive expedition had to be classified in a way that enabled a cost surface to be generated through the use of first euclidean distances (Fig. 2-4) and reclassification (Fig. 5).
Figure 2. caption.
Figure X. Caption.
Figure X. Caption.
Figure X. Caption.
Figure 6. Final result.
Text
Figure 7. Final text file output from python script ...
Discussion
Discussion
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Next steps:
Next steps:
Step 1.
Step 2.
Limitations and Challenges
Limitations and Challenges
During this project, I ran into many limitations and challenges.
Limitations:
1. Lim 1 (Fig. 8)
Root of issue: Text
Solution: Text.
Challenges:
1. Challenge 1.
Root of issue: Text
A solution: Text
2. Challenge 2
Root of issue: Text
A solution: Text
Figure X (below). Link or paste of script.
# Import arcpy module
import arcpy
# Local variables: #set from MB output
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