Data from: Mapping beta diversity from space: Sparse Generalized Dissimilarity Modelling (SGDM) for analysing high-dimensional data

Leitão PJ, Suess S, Schwieder M, Catry I, Milton E, Moreira F, Osborne PE, Pinto MJ, van der Linden S, Hostert P

Date Published: April 9, 2015

DOI: http://dx.doi.org/10.5061/dryad.ns7pv

 

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Title Species and environmental data
Downloaded 74 times
Description This compiled (zip) file consists of 7 matrices of data: one species data matrix, with abundance observations per visited plot; and 6 environmental data matrices, consisting of land cover classification (Class), simulated EnMAP and Landsat data (April and August), and a 6 time-step Landsat time series (January, March, May, June, July and September). All data is compiled to the 125m radius plots, as described in the paper.
Download Leitaoetal_Mapping beta diversity from sp...ta.zip (383.6 Kb)
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When using this data, please cite the original publication:

Leitão PJ, Suess S, Schwieder M, Catry I, Milton E, Moreira F, Osborne PE, Pinto MJ, van der Linden S, Hostert P (2015) Mapping beta diversity from space: Sparse Generalized Dissimilarity Modelling (SGDM) for analysing high-dimensional data. Methods in Ecology and Evolution 6(7): 764–771. http://dx.doi.org/10.1111/2041-210X.12378

Additionally, please cite the Dryad data package:

Leitão PJ, Suess S, Schwieder M, Catry I, Milton E, Moreira F, Osborne PE, Pinto MJ, van der Linden S, Hostert P (2015) Data from: Mapping beta diversity from space: Sparse Generalized Dissimilarity Modelling (SGDM) for analysing high-dimensional data. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.ns7pv
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