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Boundary delineation update - Carrie Kappel
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Progress to date
Data layers still needed:
Chl a (time series) – from Dave Siegel
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Try analysis at a different spatial scale (up or down sample the grids)
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Try analysis at a different spatial scale (up or down sample the grids)
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Run EOF on SeaWIFS data
Try analysis at a different spatial scale (up or down sample the grids)
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Insert some GIS images here?
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
Insert EOF result here
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
Insert picture from PISCO intertidal community sampling – biogeographic patterns
Insert graphic(s) from biogeographic assessment
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Run EOF on SeaWIFS data
Try analysis at a different spatial scale (up or down sample the grids)?
Run similar analysis for human activities within the region?
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Insert some GIS images here?
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
Insert EOF result here
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
Insert picture from PISCO intertidal community sampling – biogeographic patterns
Insert graphic(s) from biogeographic assessment
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Run EOF on SeaWIFS data
Try analysis at a different spatial scale (up or down sample the grids)?
Run similar analysis for human activities within the region?
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Insert some GIS images here?
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
Insert EOF result here
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
Insert picture from PISCO intertidal community sampling – biogeographic patterns
Insert graphic(s) from biogeographic assessment
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Run EOF on SeaWIFS data
Try analysis at a different spatial scale (up or down sample the grids)?
Run similar analysis for human activities within the region?
Created with pptHtml
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Progress to date
Data layers still needed:
Chl a (time series) – from Dave Siegel
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Try analysis at a different spatial scale (up or down sample the grids)
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Try analysis at a different spatial scale (up or down sample the grids)
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Run EOF on SeaWIFS data
Try analysis at a different spatial scale (up or down sample the grids)
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Insert some GIS images here?
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
Insert EOF result here
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
Insert picture from PISCO intertidal community sampling – biogeographic patterns
Insert graphic(s) from biogeographic assessment
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Run EOF on SeaWIFS data
Try analysis at a different spatial scale (up or down sample the grids)?
Run similar analysis for human activities within the region?
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Insert some GIS images here?
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
Insert EOF result here
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
Insert picture from PISCO intertidal community sampling – biogeographic patterns
Insert graphic(s) from biogeographic assessment
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Run EOF on SeaWIFS data
Try analysis at a different spatial scale (up or down sample the grids)?
Run similar analysis for human activities within the region?
Boundary delineation update
Carrie Kappel, Bernardo Broitman and Becca Martone
January 27, 2007
Questions
What constitute areas of biophysical similarity within coastal marine environments of central California?
How does data availability, resolution and type affect these patterns of biophysical similarity?
What are the implications for the delineation of ecosystem boundaries for management (ultimately a political process)?
Steps in analysis
Identify data layers for inclusion.
Static snapshot layers
Time series covering the same area
Convert layers to raster (grid) format so that multivariate statistics can be calculated on them.
EOF of time series to identify major modes
PCA to reduce number of variables (combining static snapshots and results of EOF)
Cluster analysis to identify areas of similarity
Progress to date
Data layers acquired:
SST (time series)
Bathymetry
Rugosity
Geomorphological habitat type
Kelp canopy cover
Fish diversity and abundance (trawl surveys)
Seabird diversity and abundance
Sea otter abundance
Pinniped abundance
Insert some GIS images here?
Progress to date
Data layers still needed:
Chl a (SeaWIFS time series)
from Dave Siegel
Zooplankton??
No CalCOFI surveys in this region in 2000-2005
Progress to date
Pre-processing of data layers & analysis
All static snapshot data layers have been rasterized and clipped to same spatial extent
9 km grid (~5’)
EOF of SST begun
Results…
Insert EOF result here
To do during this meeting
Bring results of EOF into ArcGIS
Run PCA on all data layers
Run cluster analysis
Examine how changing which data layers are included influences results
Examine how results compare to other biogeographic and biophysical studies of the area (e.g. PISCO, N/Cen CA biogeographic assessment, etc.)
Insert picture from PISCO intertidal community sampling – biogeographic patterns
Insert graphic(s) from biogeographic assessment
To do after this meeting
Add other data (e.g. Chl a SeaWIFS data)
Run EOF on SeaWIFS data
Try analysis at a different spatial scale (up or down sample the grids)?
Run similar analysis for human activities within the region?
Created with pptHtml