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ArcGIS Marine Data Model
Project IntroductionConceptual Framework
Dawn Wright, Oregon State University
Joe Breman, ESRI
Review Team WorkshopESRI Headquarters, Redlands, CAJune 7-8, 2002
dusk.geo.orst.edu/djl/arcgis
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Workshop Goals
• Overview of process• Refine the initial concepts and technical
structure of the model • Test model's initial application to real
data• Discussion of case studies, SIG meeting,
further steps• Agenda and handouts
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Project Overview
• Steps in Process• Conceptual Framework
– 50 pg. draft at dusk.geo.orst.edu/djl/arcgis
• Lead in to demos and discussion
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Steps in Data Model Process
• Data model template – few weeks to months
• Mature data model – up to few years
• more info at dusk.geo.orst.edu/djl/arcgis/about.html
DraftModel
Review, Projects
Final Model
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Project Milestones
• Initial Working Group - Oct. 4-5, 2001– Steve Grisé, Joe Breman, Simon Evans– Dawn Wright, Jason Marshall, Pat Halpin, Eric
Treml– Analysis Diagram, UMLs, Data Structures
• Draft Conceptual FW Document – Nov. 2001
• Review Team, Case Studies, and Interested Participants
• This workshop – Jun. 7-8, 2002• Marine SIG Meeting at ESRI UC,July 9, 2002
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• basic template for implementing GIS projects– input, formatting, geoprocessing, creating
maps, performing analyses
• basic framework for writing program code and maintaining applications– development of tools for the community
• promote networking and data sharing through established standards
• Learning,understanding ArcGIS!
Purpose of Marine Data Model
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Georelational to Geodatabase Model
• coverage and shapefile data structures• features are aggregated into
homogenous collections of points, lines, and polygons with generic, 1- and 2-dimensional "behavior"
• can’t distinguish behaviors– Point for a marker buoy, same as point for
OBS
• “smart features” in a geodatabase
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Geodatabase Concepts
• ESRI's new data object-oriented data model – objects, features, behaviors
• Object– in ArcGIS an object is non-spatial
• it is NOT a point, line, or area • it has no geographic location
– it has no shape attribute in its table– ship, vehicle, … customer, lake, house
• Feature– an object that has geographic location– a point, line, area, TIN, raster
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Geodatabase Concepts ( cont. )
• Geodatabase– collection of feature data sets, rasters, TINs– all data in relational tables – behavior is coupled with features through
rules– no more division between ARC and INFO
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Transition to ArcGIS 8?
• how and when to do it? • How well are marine application domain
requirements met in the geodatabase structure now?
• What can we do as a group to understand the technology and identify requirements?
• What are the potential benefits?
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Bathymetry
Shoreline
Marine boundaries
Geophysical time series
Sub-bottom profiling
Sidescan sonar
Magnetics
Gravity
Seismics
Atmospheric influences
Sea state
Sea surface
Temperature
Salinity
Sensor calibration data
Current meters
Density
Sediment transport
Wave activity
Marine Data Layers
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Maximizing the use of available tools
“Placeholders” for 3-, 4-D data in the model
3- and 4-D Analysis
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Geostatistical Integrating Powerful Data Exploration and Surface Creation Environment
“3D” Kriging?
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Steps in Data Modeling
(1) Model the user's view of data– what are the basic features needed to
solve the problem?
(2) Select the geographic representation – points, lines, areas, rasters, TINs
(3) Define objects and relationships – draw a UML diagram
(4) Match to geodatabase elements– specify relationships, “behaviors”
(5) Organize geodatabase structure
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• Representing dynamic marine data
• Feature locations change
• Multiple time variable data
• A dynamic and multivariable coastline
• Time duration areas
• Instantaneous points with multiple z values
• Tracking marine animal movement
• Bathymetric layers
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Understanding the Design
• Won’t go through all boxes• Use ArcMap and real data• Data model a great poster?• Data maintenance app.• Programming framework
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Some Issues
• How DOES the model handle time? – especially same feature in different locations over time? – Hydro model time series may not be good equivalent after all
• Change in value (flow) for a fixed feature (channel, gauge)
• 3D – Many use other software for true 3D analysis (Fledermaus,
Rockware, etc.)– import, conversion to Arc– Geology, geophysics, phys. oceanography software
• Coastal vs. deepsea balance
• General Data Structures– Your data may not immediately fall into present schema categories– Shouldn’t be a problem with the structure.
• Others?