Published September 7, 2023 | Version 01
Dataset Open

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

Authors/Creators

  • 1. Doctoral School of Biology, Institute of Biology, Eötvös Loránd University
  • 2. Institute of Ecology and Botany, Centre for Ecological Research

Description

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.

 

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