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Use of the Kerala Bird Atlas to validate analyses that use
eBird Data
o Use less structured eBird data to understand range, abundance
and population trends of Indiaโ€™s birds
Objective
Biases โ€“ checklists in 20 km grids
Biases โ€“ checklists by month
o eBird data has large biases in space and time (less structured)
o the Atlas provides a unique opportunity to compare statistically
corrected results from non-Atlas eBird data with Atlas data that is
free from spatiotemporal biases; methods can then be finalized
o the previous step is essential as methods may always be open to
criticism until they are validated (using the Atlas).
o is inference from less structured data reliable?
Problems
o Strong correlations
o Use Atlas dry season data to fine tune analytical methods
o Generalised Linear Mixed Models (GLMM)
o p/a ~ log(no. of species) + โ€ฆ + 1|district/hotspot + 1|observer
Calibration of analyses โ€“ eBird vs. Kerala Atlas
Calibration of analyses โ€“ eBird vs. Kerala Atlas
o the ability to validate methods using structured Atlas data may
provide us with the analytical template to make a first assessment
of the State of Indiaโ€™s Birds.
Validation

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How Bird Atlas Data is getting used

  • 1. Use of the Kerala Bird Atlas to validate analyses that use eBird Data
  • 2. o Use less structured eBird data to understand range, abundance and population trends of Indiaโ€™s birds Objective
  • 3. Biases โ€“ checklists in 20 km grids
  • 5. o eBird data has large biases in space and time (less structured) o the Atlas provides a unique opportunity to compare statistically corrected results from non-Atlas eBird data with Atlas data that is free from spatiotemporal biases; methods can then be finalized o the previous step is essential as methods may always be open to criticism until they are validated (using the Atlas). o is inference from less structured data reliable? Problems
  • 6. o Strong correlations o Use Atlas dry season data to fine tune analytical methods o Generalised Linear Mixed Models (GLMM) o p/a ~ log(no. of species) + โ€ฆ + 1|district/hotspot + 1|observer Calibration of analyses โ€“ eBird vs. Kerala Atlas
  • 7. Calibration of analyses โ€“ eBird vs. Kerala Atlas
  • 8. o the ability to validate methods using structured Atlas data may provide us with the analytical template to make a first assessment of the State of Indiaโ€™s Birds. Validation

Editor's Notes

  1. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point
  2. Biases in space
  3. Biases in time
  4. Compare inference from structured and unstructured data, start with a European (non-eBird) case study to illustrate a point