11
Amy Anderson
Katie Lima
Melissa Pierce
August 4, 2013
Comparing Trail Mapping
Approaches
22
Content
Proposal review
Adjustments to project
Data dictionary
Methodology flow charts
Precision comparison maps
Advant...
3
What are the advantages and disadvantages of using
different technology for deriving trail maps?
Recapitulate Original P...
4
- Order of project
- Digitization interface
- Adjusted data focus
Adjustments to Original Proposal
Figure 2: iOS data co...
5
Google Earth Trimble Juno 3B iOS MotionX app
create/test data dictionary
send data dictionary to device
set parameters s...
6
Google Earth Trimble Juno 3B iOS MotionX app
create/test data dictionary
send data dictionary to device
set parameters s...
7
Results: Google Earth Digitization
Polygon area: 73,628.93 sq. ft.
Figure 4: GE precision comparison
8
Advantages of GE Digitization
- Inexpensive
- Can be used by an inexperienced data collector
- Little preparation and pr...
9
Google Earth Trimble Juno 3B iOS MotionX app
create/test data dictionary
send data dictionary to device
set parameters s...
10
Data Dictionary
Trail (Line)
Log Interval: 1 Second
Offset: 0
Comment
Length 100
Date of Collection
MDY format
Auto Gen...
11
Parameters
WHAT IS A HAZARD?
• Blocks 1/3 of the trail
• Sticks up jagged out of ground any items that could easily tri...
12
Results: Trimble Juno 3B
Polygon area: 11,598.87 sq. ft.
Figure 11: Trimble Juno precision comparison
13
- Highly accurate and precise
- Reliable in field
- Files can be manipulated
- Attributes of features easily collected
...
14
Google Earth Trimble Juno 3B iOS MotionX app
create/test data dictionary
send data dictionary to device
set parameters ...
15
Results: iOS
Polygon area: 66,520.12 sq. ft.
Figure 12: iOS precision comparison
16
- Limited attribute collection and manipulation
- Temperamental application
- Unreliable if cellphone coverage is spott...
17
Results Map: Three Technical Devices
Figure 13: polygon comparison of three technologies
GE 73,628.93 sq. ft. Trimble 1...
18
Google Earth
Trimble Juno
3B
iOS MotionX
app
Setup time  L K
Time to digitize / collect data L K 
Postprocessing ...
19
What worked well?
- Team cohesion
- Completed data collection with two days to spare
- Lack of tree coverage, favorable...
20
- Each method has merit in certain situations
- Visualization tools can easily illustrate precision
without complicated...
21
Sources
Brown, Kevin. “GPS/GIS Workshop.” USC GPS/GIS Field Exercise. USC Wrigley Institute, Catalina Island,
CA. 30 Ju...
22
Conclusion
QUESTIONS?
Melissa Pierce: piercem@usc.eduAmy Anderson: bartlow@usc.edu Katie Lima: katielim@usc.edu
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Comparing Trail Mapping Approaches

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This is a presentation completed in the GIST program at USC. Three students compared the precision of three different approaches to trail mapping. Methods used included Google Earth, Trimble Juno 3B, and the iOS MotionX app. The presentation outlines the methods and the pros and cons of each device.

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Comparing Trail Mapping Approaches

  1. 1. 11 Amy Anderson Katie Lima Melissa Pierce August 4, 2013 Comparing Trail Mapping Approaches
  2. 2. 22 Content Proposal review Adjustments to project Data dictionary Methodology flow charts Precision comparison maps Advantages and disadvantages of technology Comparison table Assessment of project Lessons learned Sources
  3. 3. 3 What are the advantages and disadvantages of using different technology for deriving trail maps? Recapitulate Original Proposal Figure 1: Study area and trail USC Wrigley Institute Pacific Ocean Catalina Island Deer Valley Trail
  4. 4. 4 - Order of project - Digitization interface - Adjusted data focus Adjustments to Original Proposal Figure 2: iOS data collection at trail head
  5. 5. 5 Google Earth Trimble Juno 3B iOS MotionX app create/test data dictionary send data dictionary to device set parameters set parameters set parameters digitize path collect data (x,y, not z) collect data (x,y, not z) send field data file to pathfinder differential correct export as kml export .cor to ArcGis shape file share gpx file via email convert gpx to features convert KML to layer import to ArcMap convert points to line 2 Maps: 3 lines + 1 polygon 2 Maps: 3 lines + 1 polygon 2 Maps: 3 lines + 1 polygon Lines Featureto Polygon 1. Assess study area 2. Collect data 3 times for each method described below 3. Compare and analyze data created: Pre-CollectionDeviceWorkArcMap SHP SHP ⌂ ⌂ ⌂ SHP SHP SHP SHPlyr lyr lyr KML KML KML GPX GPX GPX Each gray box represents1map M E T H O D O L O G Y Figure 3: Methodology chart
  6. 6. 6 Google Earth Trimble Juno 3B iOS MotionX app create/test data dictionary send data dictionary to device set parameters set parameters set parameters digitize path collect data (x,y, not z) collect data (x,y, not z) send field data file to pathfinder differential correct export as kml export .cor to ArcGis shape file share gpx file via email convert gpx to features convert KML to layer import to ArcMap convert points to line 2 Maps: 3 lines + 1 polygon 2 Maps: 3 lines + 1 polygon 2 Maps: 3 lines + 1 polygon Lines Featureto Polygon 1. Assess study area 2. Collect data 3 times for each method described below 3. Compare and analyze data created: Pre-CollectionDeviceWorkArcMap SHP SHP ⌂ ⌂ ⌂ SHP SHP SHP SHPlyr lyr lyr KML KML KML GPX GPX GPX Each gray box represents1map M E T H O D O L O G Y Feature to polygon example
  7. 7. 7 Results: Google Earth Digitization Polygon area: 73,628.93 sq. ft. Figure 4: GE precision comparison
  8. 8. 8 Advantages of GE Digitization - Inexpensive - Can be used by an inexperienced data collector - Little preparation and processing - Does not require ground truth - Not time consuming Disadvantages of GE Digitization - Not as precise as other technology - Digitization accuracy will depend date of imagery - Minimal attribute editing ability - Accuracy unknown
  9. 9. 9 Google Earth Trimble Juno 3B iOS MotionX app create/test data dictionary send data dictionary to device set parameters set parameters set parameters digitize path collect data (x,y, not z) collect data (x,y, not z) send field data file to pathfinder differential correct export as kml export .cor to ArcGis shape file share gpx file via email convert gpx to features convert KML to layer import to ArcMap convert points to line 2 Maps: 3 lines + 1 polygon 2 Maps: 3 lines + 1 polygon 2 Maps: 3 lines + 1 polygon Lines Featureto Polygon 1. Assess study area 2. Collect data 3 times for each method described below 3. Compare and analyze data created: Pre-CollectionDeviceWorkArcMap SHP SHP ⌂ ⌂ ⌂ SHP SHP SHP SHPlyr lyr lyr KML KML KML GPX GPX GPX Each gray box represents1map M E T H O D O L O G Y
  10. 10. 10 Data Dictionary Trail (Line) Log Interval: 1 Second Offset: 0 Comment Length 100 Date of Collection MDY format Auto Generate on Creation Time of Collection 24 hour format Auto Generate on Creation Hazard (Point) Type of Hazard Rock Cactus Tree Branch Tree Root Other Photo Action Needed? Yes No Comment Length 100 Date of Collection MDY format Auto Generate on Creation Time of Collection MDY format Auto Generate on Creation Trail Sign (Point) Sign Subject Length 100 Photo Comment Length 100 Date of Collection MDY format Auto Generate on Creation Time of Collection 24 hour format Auto Generate on Creation If Yes… Comment Length 100 Figure 5: Trimble Juno 3B
  11. 11. 11 Parameters WHAT IS A HAZARD? • Blocks 1/3 of the trail • Sticks up jagged out of ground any items that could easily trip a person • Any part of a cactus over any part of the trail • Anything hanging six feet or lower over the top of the trail • ‘Other’ is up to your discretion Figures 6-10: Root, multiple hazards, rock, cactus, tree branch
  12. 12. 12 Results: Trimble Juno 3B Polygon area: 11,598.87 sq. ft. Figure 11: Trimble Juno precision comparison
  13. 13. 13 - Highly accurate and precise - Reliable in field - Files can be manipulated - Attributes of features easily collected - Relatively lengthy set-up processing time - Requires several components - Must upload imagery - Not intuitive - Expensive Advantages of Trimble Juno 3B Disadvantages of Trimble Juno 3B
  14. 14. 14 Google Earth Trimble Juno 3B iOS MotionX app create/test data dictionary send data dictionary to device set parameters set parameters set parameters digitize path collect data (x,y, not z) collect data (x,y, not z) send field data file to pathfinder differential correct export as kml export .cor to ArcGis shape file share gpx file via email convert gpx to features convert KML to layer import to ArcMap convert points to line 2 Maps: 3 lines + 1 polygon 2 Maps: 3 lines + 1 polygon 2 Maps: 3 lines + 1 polygon Lines Featureto Polygon 1. Assess study area 2. Collect data 3 times for each method described below 3. Compare and analyze data created: Pre-CollectionDeviceWorkArcMap SHP SHP ⌂ ⌂ ⌂ SHP SHP SHP SHPlyr lyr lyr KML KML KML GPX GPX GPX Each gray box represents1map M E T H O D O L O G Y
  15. 15. 15 Results: iOS Polygon area: 66,520.12 sq. ft. Figure 12: iOS precision comparison
  16. 16. 16 - Limited attribute collection and manipulation - Temperamental application - Unreliable if cellphone coverage is spotty - Not intuitive - Wide range of accuracy - Storage problem Advantages of iOS Disadvantages of iOS - Relatively inexpensive - Minimal processing time - Yields clearer photos
  17. 17. 17 Results Map: Three Technical Devices Figure 13: polygon comparison of three technologies GE 73,628.93 sq. ft. Trimble 11,598.87 sq. ft. iOS 66,520.12 sq. ft.
  18. 18. 18 Google Earth Trimble Juno 3B iOS MotionX app Setup time  L K Time to digitize / collect data L K  Postprocessing time  L K Total Time (in hours) K L  Equipment / software needed  L K Accuracy of device n/a  K Field Reliability n/a  L File Manipulability L  K Precision (based on calculated area) L  K Access of imagery base maps  L K Photo capabilities n/a K  Ground level data attribute collection capabilities L  K Skill to use (Novice vs. Expert)  L L COST Associated costs  L K  5 5 3 K 1 2 9 L 4 6 1 n/a 3 - - TIMETECHNOLOGYUSABILITY Table: Advantages/Disadvantages of Technology Figure 14: comparison of three technologies
  19. 19. 19 What worked well? - Team cohesion - Completed data collection with two days to spare - Lack of tree coverage, favorable terrain and weather - Used other teams as a resource - Conducted pilot tests of the trail and devices What did not work well? - Initial interface for digitization - Importing, differential correcting, projecting - MotionX GPS service
  20. 20. 20 - Each method has merit in certain situations - Visualization tools can easily illustrate precision without complicated formulas - Planning and pilots are key Take Always
  21. 21. 21 Sources Brown, Kevin. “GPS/GIS Workshop.” USC GPS/GIS Field Exercise. USC Wrigley Institute, Catalina Island, CA. 30 July 2013. Workshop. Esri. ArcGIS Resources. “Feature to Polygon” and “Projection.” help.arcgis.com/en/arcgisonline/help/. 7 July 2013. Web. 1 August 2013. Esri, DeLorme, NAVTEQ © 2013. ArcMap Service Credit Layers. Web. 2 August 2013. Fullpower Technologies, Inc. 2013. MotionX-GPS. http://www.motionx.com/. Google Earth. Google Earth application. http://www.google.com/earth/index.html. Web. 31 July 2013. Trimble. “Juno 3 Series Handhelds.” http://www.trimble.com/mappingGIS/juno3.aspx?dtID=applications&. 30 July 2010. Web. 2 August 2013.
  22. 22. 22 Conclusion QUESTIONS? Melissa Pierce: piercem@usc.eduAmy Anderson: bartlow@usc.edu Katie Lima: katielim@usc.edu
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