Machine learning-based global maps of ecological variables and the challenge of assessing them
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Abstract
The recent wave of published global maps of ecological variables has caused as much excitement as it has received criticism. Here we look into the data and methods mostly used for creating these maps, and discuss whether the quality of predicted values can be assessed, globally and locally.
Citation impact
254
total citations
- FWCI
- 56.33
- Percentile
- 100%
- References
- 26
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Criticism
- Quality (philosophy)
- Computer science
- Ecology
- Data science
- Biology
- Epistemology
- Political science
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