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

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 Konrád 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 Körös-Maros Interfluve

Mezofold
logical mask for subsetting the landscape Mezőföld & Velence Hills

NorthernHunMountains
logical mask for subsetting the landscape Northern Hungarian Mountains

Orseg
logical mask for subsetting the landscape Őrség

SouthernBukk
logical mask for subsetting the landscape Southern Bükk

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
Konrád KD, Bede-Fazekas Á, Bartha S, Somodi I (2023) Adapting a multiscale approach to assess the compositional diversity of landscapes. Landscape Ecology.