1. ArcGIS Marine Data Model
Project Introduction
Conceptual Framework
Dawn Wright, Oregon State University
Joe Breman, ESRI
Review Team Workshop
ESRI Headquarters, Redlands, CA
June 7-8, 2002
dusk.geo.orst.edu/djl/arcgis

2. 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

3. Project Overview Steps in Process Conceptual Framework
50 pg. draft at dusk.geo.orst.edu/djl/arcgis
Lead in to demos and discussion

4. 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
Draft
Model
Review,
Projects
Final Model

5. 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

6. Purpose of Marine Data Model
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!

7. 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

8. Geodatabase Concepts ESRI's new data object-oriented data model Object
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

9. Geodatabase Concepts ( cont. )
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

10. 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?

11. Marine Data Layers 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

12. Monterey Bay Bathymetry Planimetric View

13. Faults Draped on Bathy

14. 3- and 4-D Analysis Maximizing the use of available tools
“Placeholders” for 3-, 4-D data in the model

15. Coastlines and
sea level change
Raster layers with
adjusted base heights

16. ESRI Marine Conservation Program
The ESRI Marine Conservation Program intends to evoke the interest of the marine GIS user community, and promote its development by providing a forum for the exchange of Marine Conservation GIS research and projects. GIS has many applications in marine conservation. This site provide a link to a collection of stories of some of the people and organizations who are making a difference in the marine GIS community. The mission of the ESRI Marine Conservation Program is to support the conservation of the seas and oceans worldwide by facilitating communication and encouraging cooperation throughout the marine GIS user community. The goals and objectives of the ESRI Marine Conservation Program are to:
Provide training and professional development opportunities to increase the capacity of the marine community in the use of GIS.
Promote low-cost or free access to marine-related data, and encourage the collaborative sharing of marine related information.
Publish an annual forum to provoke the exchange of new ideas, methodologies, and tools relevant to the marine user community.
Assist the marine GIS community in obtaining and utilizing GIS equipment, software, and services.
Extend outreach to make marine-specific GIS techniques available to a wide network of marine users.
And to enhance the development and growth of the marine GIS user group by providing a forum for meeting at the annual ESRI User Conference, and hosting the website:

17. “3D” Kriging?

18. Enhancement request for ARGCIS 8.2:
3-D Kriging development for volumetric analysis
The 3-D Analyst has some volumetric analysis capability, and it would be
very interesting and useful to see 3-D kriging developed and added to ARCGIS
Extension functionality. In considering simulation (in geostatistics),
enhancements, and lattice models. Interest has been expressed from the user community for the development of a volume model for the incorporation of oceanographic and atmospheric data into maps. Developing this data model would be useful for data such as currents, temperature, density, salinity, contaminants, wind, weather systems, atmospheric components, and much more. There have been many requests for an increase in this functionality.
3-D volumetrics actually performs analysis on the inputs, while 3-D kriging would create a volume in some sort in 3-D space. This enhancement request is to create a grid, or multiple grids, or a type of stacked grid model to handle multiple z value data. This will still only be a static representation that would need a 3-D viewer to support it. This 3-D viewer could support a geostatistical layer. Once the 3-D Kriging is developed then what is needed are tools to do some calculations, specifically how much volume is in the phenomenon.

20. Marine Data Collection
Image courtesy of PISCO, OSU

21. 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

22. Users’s View
of Data

23. 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

24. Select
Geog.
Rep.
P. Halpin, Duke University

26. Understanding the Design
Won’t go through all boxes
Use ArcMap and real data
Data model a great poster?
Data maintenance app.
Programming framework

27. UML to ArcGIS 8

28. 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?