Introducing the ArcGIS Marine Data Model - PowerPoint PPT Presentation

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Introducing the ArcGIS Marine Data Model

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lighthouse must be on land, marine mammal siting must be in ocean. 4 ... Marine mammal movement. Atmospheric influences. Sea state. Wave activity. Sea surface ... – PowerPoint PPT presentation

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Title: Introducing the ArcGIS Marine Data Model


1
Introducing the ArcGIS Marine Data Model
Marine Special Interest Group Meeting ESRI User
Conference July 9, 2002
dusk.geo.orst.edu/djl/arcgis
2
ArcGIS Custom Data Models
  • Basemap
  • Administrative Boundaries
  • Utilities
  • Parcels
  • Tranportation
  • Imagery
  • etc ...
  • Conservation/Biodiv
  • Hydro
  • Groundwater Hydro
  • Forestry
  • Geology
  • Petroleum
  • Marine
  • IHO S-S57
  • etc ...

3
A Georelational to a Geodatabase Model
  • coverage and shapefile data structures
  • 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
  • lighthouse must be on land, marine mammal siting
    must be in ocean

4
Figure courtesy of Anne Lucas, U. of Bergen,
Norway
5
Marine Data Collection
Image courtesy of PISCO, OSU
6
Overall 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

7
Project Milestones
  • Oct. 4-5, 2001 Initial Working Group
  • Analysis Diagram, UMLs, Data Structures
  • Steve Grisé, Joe Breman, Simon Evans
  • Dawn Wright, OrSt
  • Pat Halpin and Eric Treml, Duke
  • Jason Marshall, NOAA CSC
  • Nov. 2001 Draft Conceptual FW Document

8
Project Milestones (cont.)
  • Early 2002 Review Case Study Teams
  • Interested Participants via web site
  • 150 people
  • 29 countries USVI
  • June 7-8, 2002 Second workshop
  • Tonights Marine SIG Meeting at ESRI UC

9
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

10
Why? (cont.)
  • Learning, understanding ArcGIS!
  • 2-way educational process users ESRI
  • Bear DM in mind when collecting data
  • The geodatabase
  • Not going away
  • Coverages, shapefiles not around forever

11
Transition to ArcGIS 8?
  • How and when to do it?
  • How well are marine application domain
    requirements met in the geodatabase structure
    now?
  • Understanding the technology and identifying
    requirements
  • Potential benefits

12
ArcView 8 vs. ArcInfo 8
  • Need AI to fully use data model
  • Users vs. power users (CD-R vs. CD-RW)
  • ArcView and ArcReader can view DM dBs
  • Features classes, simple analysis
  • ArcView 3D Analyst - set of pts. with z as
    attribute

13
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

Bathymetry Sidescan sonar/Backscatter Shoreline M
arine boundaries (e.g., MPAs) Geophysical time
series Sub-bottom profiling Magnetics Gravity Seis
mics Sediment transport etc. ...
Marine mammal movement Atmospheric influences Sea
state Wave activity Sea surface
temperature Salinity Sensor calibration
data Current meters Density etc. ...
14
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15
Userss View of Data
16
Steps in Data Modeling (cont.)
  • (3) Define objects and relationships
  • draw a UML diagram
  • (4) Match to geodatabase elements
  • specify relationships, behaviors
  • (5) Organize geodatabase structure

17
Core Themes of Objects Features
18
Synthesis, Analysis, Interpretation
19
(No Transcript)
20
More information,downloads, or join MDM listserv
  • dusk.geo.orst.edu/djl/arcgis

21
(No Transcript)
22
Some Issues
  • Coastal vs. deepsea balance
  • General Data Structures
  • Your data may not immediately fall into present
    schema categories
  • Shouldnt be a problem with the structure
  • Still hard to input raw data
  • 3D
  • Many use other software for true 3D analysis
    (Fledermaus, Rockware, etc.)
  • import, conversion to Arc
  • Geology, geophysics, phys. oceanography software
  • 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)
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