ArcGIS Marine Data Model

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.ht
  ml

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"
• cant 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
• 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. )

• 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

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 Geophysica
l 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 BathymetryPlanimetric 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
(No Transcript)
17
3D Kriging?
18
(No Transcript)
19
(No Transcript)
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
Userss 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
25
(No Transcript)
26
Understanding the Design

• Wont 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
• Shouldnt be a problem with the structure.
• Others?