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Creating a Unified Marine
Spatial Planning and
Management Environment
Keith VanGraafeiland
2014 Esri User Conference
Successful Marine Spatial Planning
• Data Management
- Importance of data management and standardization
- Define data
- Tracking data – Source data and derivatives
- METADATA
• Geospatial Analysis
- Meaningful analysis
- Support scientific staff
- Data modeling for standardization
• Enterprise GIS
- Publish data (layers) services and geo-processing tools for application
consumption (both managed servers and ArcGIS online)
Data Management
Data Management:
Importance of Data Models
• Authoritative agency data
models
Data Management:
Authoritative Geospatial Data Sources
Data Management Tools
• ArcGIS
• Enterprise Database
• Data Models and Schemas
• Data Collection Workflows (Equipment and Sensors)
• Data Analysis/Enrichment Workflows and Processes
• Metadata Parser/Assembly Tools
Geospatial
Analysis
Geospatial Analysis:
Air Emissions – Impact Producing Factors (IPF)
Documented Policies into a Spatial Framework
Outer Continental Shelf Lands Act (OCSLA)
Geospatial Analysis:
Air Emissions IPF
The use of Model Builder helps standardize and automate processes.
These tools can be distributed through an Enterprise GIS Infrastructure.
Geospatial Analysis Example:
Sperm whale densities relative to ship traffic
Data sources:
Sperm Whale Sightings: OBIS
AIS Data: Marine Cadastre
Geospatial Analysis:
Loggerhead turtle densities relative to ship traffic
Data sources:
Loggerhead Sightings: OBIS
AIS Data: Marine Cadastre
Geospatial Analysis:
Oil Spill Risk Assessment (OSRA) Model
New and different ways to visualize data in more meaningful fashion.
Enterprise GIS
Enterprise GIS
Enterprise GIS
Ability to publish data services for consumption
Maintain control of the data
Strategic Relationships
• ESRI Oceans Forum (http://www.esri.com/events/oceans)
- Scientific knowledge base to support marine spatial planning

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