Title: Data Analysis
1Data Analysis Visualization for the Census of
Marine Life (CoML)
Second SCOR Meeting on Coordination of
International Marine Research Projects December
8th, 2006
Patrick N. Halpin Gabel Associate Professor of
the Practice of Marine Geospatial Ecology,
Marine Geospatial Ecology Lab Nicholas School of
the Environment and Earth Sciences Duke University
2Data Analysis Visualization for the Census of
Marine Life (CoML)
- Overview data types
- Information dissemination interoperability
- Data visualization
- Workflow visualization example workflow
CoML 2010 Framework Committee charge to hold a
marine data visualization technical workshop
during 2007 (the Marine Geospatial Ecology Lab,
Duke University the Sea Mammal Research Unit,
St. Andrews)
3Data is not information
Only some information is useful for decision
making
We convert data to information to decision
support through analytical workflows
A data warehouse is not a library
If we want people to use our data we need to
convert data warehouses into libraries of useful
information and published workflow processes
4TOPP, POST, ArcOD, CHEss, MAR-ECO, GoMA
FMAP
HMAP
History of marine animal populations
Future of marine animal populations
CoML Field Projects
OBIS
Ocean Biogeographic Information System
5regional nodes
specialized nodes
central data portal
CoML Field Projects
6Marine Animal Data
Global Information Systems?
Ocean Biogeographic Information System
Hierarchical Information networks.
trophic information networks
Portals
fisheries / mgmt
specialist portals?
top predators
prey
producers
Nodes
oceanography
Regional nodes?
7Marine Data Types
Biogeographic data X,Y location, species,
ancillary information
8Common Marine Data Types
Purpose to create common data models for marine
GIS end users
Coming in 2007
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10Instantaneous point observation effort data
Observation (points) Effort (lines)
Cruise transects
Observations
11Fixed location time-series data
FWS Beringian Seabird Colony Catalog 2004 (The
chart is sent from OBIS-SEAMAP)
Species code from the OBIS-SEAMAP web site
122D time telemetry tracking
(Location Series)
Sea Turtle Tracks (Caretta caretta)
Sea Surface Temperature (WCR)
Source http//www.po.gso.uri.edu/SST/
Source http//obis.env.duke.edu/datasets/ (Read
McClellan2004)
133D time telemetry tracking
(Location Series)
Turtles Cayman Islands
Dive Profiles 4D Data (X,Y,Z,T mm)
143D time environmental sensors telemetry
tracking
(Location Series)
Biologging data
15Photo-ID tracking of individual animals
163D passive acoustic location / call data
Hydrophone array
3D Sperm whale locations
173D animal behavior models
DTag animal
GeoZui4D Ribbon-plots
Humpback whale bubble-net feeding
183D animal behavior models
Workflow
Humpback
Minke
Friedlaender et al 2007 (in press)
19Marine animal habitat models
20Animal behavior models
Bayesian state-space models of movement, speed
and environmental dynamics
21Data Analysis Visualization for the Census of
Marine Life (CoML)
- Overview data types
- Information dissemination interoperability
- Data visualization
- Workflow visualization example workflow
22OBIS-SEAMAP information system
The world data center for marine mammal, seabird
and seaturtle information.
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24Species information
- Species Profiles
- Natural history information
- Taxonomic classification
- Bibliography / Web Links
- Links to prey profiles
25Internet map service standards
Emerging open-source, open-standards tools
provide a functional, open working environment
for ocean biogeographic information community.
physical oceanography
marine spatial ecology
26Data Discovery Metadata
27Data Analysis Visualization for the Census of
Marine Life (CoML)
- Overview data types
- Information dissemination interoperability
- Data visualization
- Workflow visualization example workflow
28Data viewing (1)
- Dataset locations on Google Map
- Quick browsing
- Easy navigation
- Direct access to dataset page
29Data viewing (2)
- Data on Google Earth
- Any types of data
- Effort/telemetry lines
- Informative popup
- Link to OBIS-SEAMAP
30Data viewing (3)
- Integration with OBIS-SEAMAP application
- Turtle nesting trends
- Seabirds colonies abundance time series
Example of turtle nesting trend
Example of seabirds colony abundance
31Data viewing (4)
- Overlay environmental data
- Monthly sea surface temperature over the period
of survey
32Data viewing (5)
- Time series animation
- Telemetry data
- Sea surface temperature
- Create your own animation
Example of animation setting window
33Real-time telemetry tracking tools
34Data Analysis Visualization for the Census of
Marine Life (CoML)
- Overview data types
- Information dissemination interoperability
- Data visualization
- Workflow visualization example workflow
35Marine mammal habitat modeling
Data
Information
36Motivation To translate data on marine mammal
distributions into useful information for ocean
scientists managers
Practical tools for marine mammal avoidance
Reducing shipping lane interactions
Reducing sonar interactions
NOAA Right Whale Surveys
37Two linked projects
38Available Data Sets
Survey Effort
45 SEAMAP data sets 1991 2002
Model individual species guilds of
species
Data Providers NOAA/NMFS -- NEFSC NOAA/NMFS
SEFSC UNC-W
39Environmental variables
Distance to Shore
Distance to Shelf
SST
Depth
Distance to Fronts
40Environmental sampling through time
automated processing scripts
T5
T4
Time
SST Chl Depth Shelf Fronts
environmental sampling
T3
Absences
T2
Example 11 years _at_ 8 day time step
T1
41Habitat Modeling Workflow System
42ROC evaluation
Receiver-Operator Characteristics curves
79 of the observations are correctly predicted
43Area of Elevated Beaked Whale Encounter Risk
(Summer)
44GIS Web Services for Environmental Planning
- Observations Effort
- By Dataset
- By Species
- Range Maps
- Predictive Models
- Expert-Reviewed
Selected area of interest for model query
45Feedback to data providers
Spatio-temporal data Gap-Analysis
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47Data is not information
Only some information is useful for decision
making
We convert data to information to decision
support through analytical workflows
A data warehouse is not a library
If we want people to use our data we need to
convert data warehouse into libraries of useful
information and published workflow processes
48Questions?