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Spatial data to account for spatial autocorrelation
datasetposted on 04.07.2019 by Ester Polaina, Manuela Gonzalez-Suarez, Eloy Revilla
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This file contains the spatial data used to calculate spatial autocorrelation and to include the residuals-based autocovariate (RAC). Spatial resolution: 110 x 110 km grid-cells; projection: Behrmann cylindrical equal area projection.