Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Zeitschriftenartikel

DendrometeR: Analyzing the pulse of trees in R

Urheber*innen

van der Maaten,  Ernst
External Organizations;

van der Maaten-Theunissen,  Marieke
External Organizations;

Smiljanić,  Marko
External Organizations;

Rossi,  Sergio
External Organizations;

/persons/resource/simard

Simard,  Sonia
5.2 Climate Dynamics and Landscape Evolution, 5.0 Geoarchives, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Wilmking,  Martin
External Organizations;

Deslauriers,  Annie
External Organizations;

Fonti,  Patrick
External Organizations;

von Arx,  Georg
External Organizations;

Bouriaud,  Olivier
External Organizations;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in GFZpublic verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

van der Maaten, E., van der Maaten-Theunissen, M., Smiljanić, M., Rossi, S., Simard, S., Wilmking, M., Deslauriers, A., Fonti, P., von Arx, G., Bouriaud, O. (2016): DendrometeR: Analyzing the pulse of trees in R. - Dendrochronologia, 40, 12-16.
https://doi.org/10.1016/j.dendro.2016.06.001


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_1574893
Zusammenfassung
Dendrometers are measurement devices proven to be useful to analyze tree water relations and growth responses in relation to environmental variability. To analyze dendrometer data, two analytical methods prevail: (1) daily approaches that calculate or extract single values per day, and (2) stem-cycle approaches that separate high-resolution dendrometer records into distinct phases of contraction, expansion and stem-radius increment. Especially the stem-cycle approach requires complex algorithms to disentangle cyclic phases. Here, we present an R package, named dendrometeR, that facilitates the analysis of dendrometer data using both analytical methods. By making the package freely available, we make a first step towards comparable and reproducible methods to analyze dendrometer data. The package contains customizable functions to prepare, verify, process and plot dendrometer series, as well as functions that facilitate the analysis of dendrometer data (i.e. daily statistics or extracted phases) in relation to environmental data. The functionality of dendrometeR is illustrated in this note.