FlexSDM

Welcome to the FlexSDM showcase for the course "MET-1 Spatial Modeling and Prediction" of the EAGLE M.Sc. program. Is this showcase we model the species distribution of "Lupinoblennius nicholsi" (Highfin blenny) around the Gulf of Mexico. All data is available directly in the Repository.
The mapping is done via occurrence data from RedList and pseudo-absences calculated by the FlexSDM package, as well as the following environmental variables extracted from the MODIS-Aqua Ocean Color SMI:

• Chlorophyll concentration
• Normalized fluorescence line height
• Particulate organic carbon
• Sea Surface temperature

The prediction variables were acquired using this the following GEE script: \

var useable = modisaqua
  .filterBounds(geometry)
  .filterDate("2018-01-01", "2018-12-31")
  .map(function(image){
    return image.clip(geometry)
  })
  .mean()
  
Export.image.toDrive({
  image: useable.select("sst", "chlor_a", "nflh", "poc"),
  description: 'varfile_golf',
  crs: 'EPSG:4326',
  region: geometry
});
  
  
Map.addLayer(useable, {bands: ["sst"], min: -2, max: 40, palette: ["blue", "red"]}, "SST")

The end result will sort of look like shown in the following figure:

Have fun in the course!

Sarah and Konstantin