Kujala et al (2018) Not all data are equal: Influence of data type and amount in spatial conservation prioritisation - Data

Data for Kujala et al (2018) Not all data are equal: Influence of data type and amount in spatial conservation prioritisation. Methods in Ecology and Evolution, 9(11): 2249-2261. https://doi.org/10.1111/2041-210X.13084Tables gives simulation results where 1) new species is added to a prioritisation done without ("_BD_n20_") or with costs ("_cost_n20_"); 2) landscape condition is accounted for but it affects onpy p-proportion of the species; and 3) condition layer is changed by x%. Table headings correspond to:n_B = number of species used in the prioritisationp = proportion of species affected by local conditionx = average change in condition valuescor = spatial correlation (Spearman's rank coefficient) between priorities and the added/changed layer values before addition/changeexp = expected average change in cell values after addition/changeobs_min/mean/max = minimum, mean and maximum of the observed average change in cell values (average across repeats)rho_min/mean/max = minimum, mean and maximum correlation (Pearson's rho) between old and new priorities of cells_S/_M/_L = small, medium or large, respectively, ranged values in the added/changed layer (for cost and condition analysis only)_sd = standard deviation Updates to this data:7 Nov 2018 - Added explanations and full reference to the published article.7 Nov 2018 - Data tables with condition analysis replaced. Original tables incorrectly showed results of the cost analysis.