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Nonlinear Dimensionality Reduction
Crowd-Sourced Plant Occurrence Data Provide a Reliable Description of Macroecological Gradients
Deep learning algorithms classify plant species with high accuracy, and smartphone applications leverage this technology to enable …
Miguel D. Mahecha
,
Michael Rzanny
,
Guido Kraemer
,
Patrick Mäder
,
Marco Seeland
,
Jana Wäldchen
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DOI
Identifying Multiple Spatiotemporal Patterns: A Refined View on Terrestrial Photosynthetic Activity
Information retrieval from spatiotemporal data cubes is key to earth system sciences. Respective analyses need to consider two …
Miguel D. Mahecha
,
Lina M. Fürst
,
Nadine Gobron
,
Holger Lange
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DOI
Nonlinear Dimensionality Reduction: Alternative Ordination Approaches for Extracting and Visualizing Biodiversity Patterns in Tropical Montane Forest Vegetation Data
Ecological patterns are difficult to extract directly from vegetation data. The respective surveys provide a high number of …
Miguel D. Mahecha
,
Alfredo Martínez
,
Gunnar Lischeid
,
Erwin Beck
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DOI
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