0575614 - BÚ 2024 RIV GB eng J - Journal Article
Man, Matěj - Kalčík, Vojtěch - Macek, Martin - Brůna, Josef - Hederová, Lucia - Wild, Jan - Kopecký, Martin
myClim: Microclimate data handling and standardised analyses in R.
Methods in Ecology and Evolution. Roč. 14, č. 9 (2023), s. 2308-2320. ISSN 2041-210X. E-ISSN 2041-2096
R&D Projects: GA ČR GA23-06614S; GA ČR GA20-28119S; GA TA ČR(CZ) SS02030018
Institutional support: RVO:67985939
Keywords : microclimate * air temperature * relative humidity
OECD category: Ecology
Impact factor: 6.3, year: 2023 ; AIS: 2.952, rok: 2023
Method of publishing: Open access
Result website:
https://doi.org/10.1111/2041-210X.14192DOI: https://doi.org/10.1111/2041-210X.14192

Here, we described the myClim R package for microclimate data processing, storage and analyses. The myClim package provides a complete workflow for microclimate data handling, including a reading of raw data files from microclimatic loggers, their preprocessing and cleaning, time series aggregation, calculation of ecologically relevantmicroclimatic variables, and flexible data export options. The myClim R package thus implements the complete microclimatic workflow from the import of the raw microclimatic time series to the calculation of ecologically relevant variables in a standardised and fully reproducible manner using open-source code. Such technical advance is crucial for much-needed global data syntheses and will facilitate wider incorporation of microclimate into global change biology and ecology.
Permanent Link: https://hdl.handle.net/11104/0348421