1 Introducing the ArcGIS Marine Data Model Marine Special Interest Group Meeting ESRI User...

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1 Introducing the ArcGIS Marine Data Model rine Special Interest Group Meeting RI User Conference ly 9, 2002 dusk.geo.orst.edu/djl/arcgis

Transcript of 1 Introducing the ArcGIS Marine Data Model Marine Special Interest Group Meeting ESRI User...

Page 1: 1 Introducing the ArcGIS Marine Data Model Marine Special Interest Group Meeting ESRI User Conference July 9, 2002 dusk.geo.orst.edu/djl/arcgis.

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Introducing the ArcGIS Marine Data Model

Marine Special Interest Group MeetingESRI User ConferenceJuly 9, 2002

dusk.geo.orst.edu/djl/arcgis

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ArcGIS “Custom” Data Models

• Basemap • Administrative

Boundaries• Utilities• Parcels• Tranportation• Imageryetc ...

• Conservation/Biodiv• Hydro• Groundwater Hydro • Forestry• Geology• Petroleum• Marine• IHO S-S57etc ...

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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"

• can’t 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

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Figure courtesy of Anne Lucas, U. of Bergen, Norway

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5Image courtesy of PISCO, OSU

Marine Data Collection

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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.html

DraftModel

Review, Projects

Final Model

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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 –

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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

• Tonight’s Marine SIG Meeting at ESRI UC

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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

Purpose of Marine Data Model

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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

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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?

• Understanding the technology and identifying requirements

• Potential benefits

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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

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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

Bathymetry

Sidescan sonar/Backscatter

Shoreline

Marine boundaries (e.g., MPAs)

Geophysical time series

Sub-bottom profiling

Magnetics

Gravity

Seismics

Sediment transport

etc. ...

Marine mammal movement

Atmospheric influences

Sea state

Wave activity

Sea surface temperature

Salinity

Sensor calibration data

Current meters

Density

etc. ...

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Users’s View of Data

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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

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Core Themes of Objects & Features

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Synthesis, Analysis, Interpretation

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More information,downloads, or join MDM listserv

dusk.geo.orst.edu/djl/arcgis

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Some Issues

• 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– 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)