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Creating Bathymetry MapsWith Coarse Data -Bayesian Kriging UsingOpen Source ToolsHal KoikeUniversity of Hawaii,Hawaii Fish...
Why do we need a       Bathymetry Map? Marine resource management is pushed  toward ecosystem based management (e.g.  lin...
Outside the United States…Most countries do not have a spatialdata repository where bathymetrydata, land cover data, etc. ...
If $$ is Limited,   What are the Options? Stick with what you have Create a pseudo-bathymetry map Some budget friendly d...
Case for Seychelles…What is available
What I need
SolutionCreate a pseudo bathymetry map usingBayesian Kriging option in GeoR (Rilbeiro jr.,P.J. and Diggle, P.J. 2001)
What is GeoR? Created by Paulo J. Ribeiro Jr. and Peter J.  Diggle. One of the many packages available through  R-CRAN p...
Step 1. Georectification
Step 2. Enter the Depth Data
What it looks like afterentering all the points
Step 3. Import the Point     Data to Geo R
Step 4. Find your Range
Step 5. Run the Bayesian     Kriging Simulationx <- seq(241472,403019,2000)y <- seq(9449003,9559751,2000)d1 <- expand.grid...
Predicted Values
Predicted Values
Error of Predicted Values (Estimation Variance)
Error of Predicted Values (Estimation Variance)
Accuracy Check
Accuracy Comparison        Bathymetry Map            Standard DeviationSRTM 30 (1km grid)                      76.89Bayesi...
Hawaii Pacific GIS Conference 2012: 3D GIS - Creating Bathymetry Maps with Coarse Data - Bayesian Kriging Using Open Sourc...
Hawaii Pacific GIS Conference 2012: 3D GIS - Creating Bathymetry Maps with Coarse Data - Bayesian Kriging Using Open Sourc...
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Hawaii Pacific GIS Conference 2012: 3D GIS - Creating Bathymetry Maps with Coarse Data - Bayesian Kriging Using Open Source Tools

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Transcript of "Hawaii Pacific GIS Conference 2012: 3D GIS - Creating Bathymetry Maps with Coarse Data - Bayesian Kriging Using Open Source Tools"

  1. 1. Creating Bathymetry MapsWith Coarse Data -Bayesian Kriging UsingOpen Source ToolsHal KoikeUniversity of Hawaii,Hawaii Fisheries Cooperative Research Unit
  2. 2. Why do we need a Bathymetry Map? Marine resource management is pushed toward ecosystem based management (e.g. linking with land development, marine protected area) You need spatial data to fully understand the ecosystem of your interest Species distribution for marine organisms is known to be influenced by depth
  3. 3. Outside the United States…Most countries do not have a spatialdata repository where bathymetrydata, land cover data, etc. is readilyavailable to be used for analysis.
  4. 4. If $$ is Limited, What are the Options? Stick with what you have Create a pseudo-bathymetry map Some budget friendly data covering the world (bathymetry case)  Navigational chart (low cost)  MODIS (free)  Hyperion (free)
  5. 5. Case for Seychelles…What is available
  6. 6. What I need
  7. 7. SolutionCreate a pseudo bathymetry map usingBayesian Kriging option in GeoR (Rilbeiro jr.,P.J. and Diggle, P.J. 2001)
  8. 8. What is GeoR? Created by Paulo J. Ribeiro Jr. and Peter J. Diggle. One of the many packages available through R-CRAN project Operated on R
  9. 9. Step 1. Georectification
  10. 10. Step 2. Enter the Depth Data
  11. 11. What it looks like afterentering all the points
  12. 12. Step 3. Import the Point Data to Geo R
  13. 13. Step 4. Find your Range
  14. 14. Step 5. Run the Bayesian Kriging Simulationx <- seq(241472,403019,2000)y <- seq(9449003,9559751,2000)d1 <- expand.grid(x=x,y=y)ex.bayes <- krige.bayes(YourData,loc=d1,model=model.control( cov.m="matern",kappa=0.5),prior=prior.control(phi. discrete=seq(0,80000,l=10),phi.prior="reciprocal"))
  15. 15. Predicted Values
  16. 16. Predicted Values
  17. 17. Error of Predicted Values (Estimation Variance)
  18. 18. Error of Predicted Values (Estimation Variance)
  19. 19. Accuracy Check
  20. 20. Accuracy Comparison Bathymetry Map Standard DeviationSRTM 30 (1km grid) 76.89Bayesian Kriging (2km grid) 9.00Conventional Kriging (2km grid) 8.30Statistically simulated bathymetry map hadless deviation then remotely sensed data
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