The data used for the paper "Adapting a multiscale approach to assess the compositional diversity of landscapes" (Landscape Ecology) (Q6717974)

The data consists of a single SimpleFeatures (sf) object with 267,813 rows, i.e. hexagons covering Hungary, and 89 variables. The following variables are contained by the data (Table 1.). Table 1. Main attributes of the variables. For explanation of the vegetation type codes implied in the table by XX, see the Supplementary Material S2 of Konrd et al. 2023. Variable Description id unique id of hexagons Bakony logical mask for subsetting the landscape Bakony Baranya logical mask for subsetting the landscape Baranya Hills ExternalSomogy logical mask for subsetting the landscape External Somogy HunGreatPlain logical mask for subsetting the landscape Hungarian Great Plain KorosMarosInterfluve logical mask for subsetting the landscape Krs-Maros Interfluve Mezofold logical mask for subsetting the landscape Mezőfld Velence Hills NorthernHunMountains logical mask for subsetting the landscape Northern Hungarian Mountains Orseg logical mask for subsetting the landscape Őrsg SouthernBukk logical mask for subsetting the landscape Southern Bkk binarized_potential_XX binarized potential vegetation data of the XX vegetation type binarized_actual_XX binarized potential vegetation data of the XX vegetation type References Konrd KD, Bede-Fazekas Á, Bartha S, Somodi I (2023) Adapting a multiscale approach to assess the compositional diversity of landscapes. Landscape Ecology.