2. Development: First conceived In: 2001 By: ESRI, Duke, NOAA, and Oregon State Since then it has primarily handled by Oregon State Goals: To create a data model that applies to coasts, estuaries, marginal seas, and the deep ocean. Primarily to be used by: government, military oceanographers, coastal resource managers, nautical archaeologists, marine conversationalists, fisheries managers, and so on. Real World Applications: Used in modeling marine mammal migrations, oil spills, and algae blooms, and new uses are derived constantly
3. Shorelines Tracks and Cruises Time Duration Features Time Series Locations Instantaneous Measures Points Location Series Observations Survey Transects Scientific Mesh Mesh Volumes Bathymetry and Backscatter Thematic Layers:
4. Shorelines Tracks and Cruises Time Duration Features Time Series Locations Instantaneous Measures Points Location Series Observations Survey Transects Scientific Mesh Mesh Volumes Bathymetry and Backscatter Thematic Layers: Use: Representing the path a ship or animal took. Either on the surface or seafloor. Spatial Relationship: Tracks have a direction with time stamps. Representation: Lines
5. Shorelines Tracks and Cruises Time Duration Features Time Series Locations Instantaneous Measures Points Location Series Observations Survey Transects Scientific Mesh Mesh Volumes Bathymetry and Backscatter Thematic Layers: Use: Fisheries or algae blooms. Useful in modeling oil spills Spatial Relationship: Size and shape can change over time. Representation: Lines and polygons.
6. Shorelines Tracks and Cruises Time Duration Features Time Series Locations Instantaneous Measures Points Location Series Observations Survey Transects Scientific Mesh Mesh Volumes Bathymetry and Backscatter Thematic Layers: Use: Used for open water environments Spatial Relationship: Related by mesh points between varying depths Representation: Stacked cubes to represent volume
11. UML Diagram: Mesh Features Values have Parameters Points have Vector / Scalar Quantities Mesh is made of points 4 points make an element
12. Data Model Maturity Arc Marine is has matured into a well organized and functional data model, but it is not meant to be a solution for all needs. It is meant to be a starting point and can be used in conjunction with Arc Hydro, Groundwater, Climate and Weather, and more. Challenges: *The ocean environment is best modeled in a 3D environment, while technology is catching up to the needs for 3D modeling, processing times can still lag. *How to best deal with the temporal and dynamic properties of shoreline and coastal processes.
13. Exploring the data: I used the sample data included in the Arc Marine tutorial link: http://dusk.geo.orst.edu/djl/arcgis/ArcMarine_Tutorial/ Goal of the tutorial: Model the transect path of a remotely operated vehicle and the observations made during the transect Tracks Data Description: Path of R.O.V Attributes: Feature Code StartDate EndDate TrackID LocalDesc Coastline Data Description: Coastline of Monterrey Bay California. Attributes: Shape Object ID Feature ID Feature Code VDatum Shape_Length Vehicle Data Description: R.O.V Attributes: ObjectID VehicleID Name Category Cruise Data Description: Project Description Attributes: ObjectID CruiseID Code Name Purpose Status Description StartDate EndDate ShipName
14. Setup Schema Must define a coordinate system Procedures: Matching Data Match fields from feature class to source data Importing Objects Import objects into the database Creating Relationships One to Many relationship in this tutorial
15. Problems Create a Raster Catalog Importing Rasters Had trouble with this step. I could not get the raster layers to import into the Raster Catalog, apparently it was a known issue. I added the layers later into ArcMap, then came back and retried this step and it worked fine.
16. Dynamic Segmentation What is it? Transforming events stored in a table into a feature that can be displayed on a map. -Geocoding Addresses -Display Route Events -Display XY Data
17. Dynamic Segmentation (in action) Tracks [red], Habitat Segments [white], and Species Observations [dots]
18. 3D Tool 3D representation of tracks (red) with locations of fish shown (green)
