Transcript Standardization of the Continental Divide National Scenic

Standardization
of the
Continental Divide National Scenic Trail (CDNST)
Data Management
Kerry Shakarjian
University of Denver
Department of Geography
Masters of Science
Geographic Information Science
Project Proposal
Overview
 ~3,100 miles crossing MT, ID,
WY, CO, NM
 Multiple land management agencies:
BLM, NPS, US Forest Service
 Lead agency = US Forest Service
(Lakewood, CO)
 Lead partner = Continental Divide
Trail Alliance (CDTA)
Purpose
1. Can multiple agencies utilize the
same data standardization protocol
for CDNST?
2. Can database management
systems be used across multiple
agencies to coordinate CDNST
data after collection?
Data Consistency
• Varying trail management policies
Different methods/protocols among
agencies
Need: Multi-jurisdictional
collaboration
• GIS attribute coding disagree
Agency road definitions differ
Creates potential for different
interpretation
Need: One method of coding
• Variety of sources
Inconsistent data collection
Need: Systematic data collection
Tool for Managing CDNST
• FS Infrastructure database
(Infra)
Accountability through
accomplishments
Funding incentives
Spending wisely – future funding
from Congress
• Minimize redundancy to
achieve consistency
•Multiple user interface across
agency boundaries
Infra’s business flow chart (FS, 2004)
Data Required
•Current Infra database access
Why? GIS stored in Infra (data layers, aerials, topos etc.)
•Most up-to-date GIS and Strategic Plan Project Instructions
for Completing and Updating CDNST GIS Data
Attribute metadata
•List of key GIS/Infra specialists
Within agencies (data collection & integration
knowledge)
Within the study area (key to pilot project support)
•Most current GIS CDNST data
Data needs assessment (pilot project-New Mexico)
Methods
• Compare current attributes of CDNST data to standards and criteria
for trails
• Use trail data to evaluate Infra in relation to CDNST data
• Redefine data criteria and methods for collecting data
• Determine best technologies for data collection & possible
integration into Infra
• Develop, test and modify data dictionaries for collecting
CDNST data for populating Infra
• Determine best data dictionary for integration into Infra
Pilot Project Flow Chart
New Mexico CDNST
Bureau of Land
Management
U.S. Forest Service
National Park Service
Continental Divide Trail Alliance (CDTA)
Data Attributes
Data Dictionary
Standardize Methodologies
Data Collection
Quality Control (Trail data criteria met?)
Infrastructure Database (or similar format)
Timetable
•June-August 08: Compile Trail data standards & criteria
•September-October 08: Complete evaluation of CDNST
attributes in a format compatible with Infra
•November 08-February 09: Field work to determine best
technologies and evaluate data dictionary
•March-May 09: New Mexico project area data collection using
final technology and data dictionary
Develop sample data entry forms for integration into Infra
(non-GIS users)
•June-August 09: Final evaluation of data collection method
•September-December 09: Finalize thesis project report
Deliverables
• Final data dictionary for CDNST feature attributes
• Non-GIS Data Entry Form
• User manual for CDNST data collection
Summary
Questions?