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About
Takes an authoritative point dataset, a radius, a min. threshold N, a target field X. Tests that for every observation of a species in X that at least N observations of this species exist in the authoritative dataset (which changes with each row) within that radius
Example: for butterfly “X1” look for more butterflies “X1” (again) within 10 metres. Then for butterfly “X2” look for more butterflies “X2” within 10 metres in the authoritative dataset. The min. threshold specifies "how many more butterflies" to look for.
Notes
The original code adds an extra boolean column to the original dataset to indicate test result and returns the modified dataset
About
Takes an authoritative point dataset, a radius, a min. threshold N, a target field X. Tests that for every observation of a species in X that at least N observations of this species exist in the authoritative dataset (which changes with each row) within that radius
Example: for butterfly “X1” look for more butterflies “X1” (again) within 10 metres. Then for butterfly “X2” look for more butterflies “X2” within 10 metres in the authoritative dataset. The min. threshold specifies "how many more butterflies" to look for.
Notes
Original code
Location authoritativedata/NumberOfNeightbourSimilarFeatures.java
Need to get feedback on this before implementing. Maybe a PCAPI filter implementation if use-cases require a server-side validation
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