Preprints

Filtering by Subject: Applied Statistics

Interpolation of temporal biodiversity change, loss, and gain across scales: a machine learning approach

Petr Keil, Jonathan Chase

Published: 2022-03-15
Subjects: Applied Statistics, Biodiversity, Ecology and Evolutionary Biology, Life Sciences, Physical Sciences and Mathematics, Statistics and Probability

1. Estimates of temporal change of biodiversity, and its components loss and gain, are needed at local and geographical scales. However, we lack them because of data in-completeness, heterogeneity, and lack of temporal replication. Hence, we need a tool to integrate heterogeneous data and to account for their incompleteness. 2. We introduce spatiotemporal machine learning interpolation that can [...]

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