KarsTS: an R package for microclimate time series analysis
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Título: | KarsTS: an R package for microclimate time series analysis |
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Autor/es: | Sáez, Marina | Pla, Concepción | Cuezva Robleño, Soledad | Benavente, David |
Grupo/s de investigación o GITE: | Petrología Aplicada | Ingeniería Hidráulica y Ambiental (INGHA) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencias de la Tierra y del Medio Ambiente | Universidad de Alicante. Departamento de Ingeniería Civil |
Palabras clave: | Microclimate | Caves | R package | Nonlinear | Missing values | Recurrence analysis |
Área/s de conocimiento: | Petrología y Geoquímica | Ingeniería Hidráulica |
Fecha de publicación: | dic-2019 |
Editor: | Springer Nature |
Cita bibliográfica: | Earth Science Informatics. 2019, 12: 685-697. doi:10.1007/s12145-019-00393-0 |
Resumen: | KarsTS 2.2 is free, open-source, R-based software for microclimate time series, especially suited to the study of underground or highly insulated environments. The time series of interest include air temperature, humidity, and CO2 and 222Rn content, amongst others. These time series usually pose problems such as gaps, outliers, noise or relative shortness. KarsTS was born as a package for gap filling and thus, it offers multiple univariate and multivariate gap-filling tools well suited to these variables. However, as KarsTS was intended to be a self-sufficient program, it soon grew to encompass several tools for linear and nonlinear time series analysis, preprocessing and plotting. Indeed, many of these variables show a nonlinear behavior that is often disregarded; for this reason, we aim to spread and facilitate the use of some methodologically appropriate analysis tools, even amongst researcher that do not feel comfortable using a console. In this paper, we introduce an overview of KarsTS functionality and we show its potential through some practical application examples on four-year time series of temperature from the Rull cave (Spain). |
Patrocinador/es: | This research was funded by the Spanish Ministry of Economy and Competitiveness Projects [CGL2011-25162, CGL2016-78318-C2-1-R, CGL2016-78318-C2-2-R and RTI2018-099052-B-I00]. A post-doctoral research fellowship was awarded to S. Cuezva by the University of Almería (Hipatia Programme). |
URI: | http://hdl.handle.net/10045/100001 |
ISSN: | 1865-0473 (Print) | 1865-0481 (Online) |
DOI: | 10.1007/s12145-019-00393-0 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © Springer-Verlag GmbH Germany, part of Springer Nature 2019 |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1007/s12145-019-00393-0 |
Aparece en las colecciones: | INV - PETRA - Artículos de Revistas INV - IngHA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2019_Saez_etal_EarthSciInform_final.pdf | Versión final (acceso restringido) | 3,46 MB | Adobe PDF | Abrir Solicitar una copia |
2019_Saez_etal_EarthSciInform_preprint.pdf | Preprint (acceso abierto) | 3,11 MB | Adobe PDF | Abrir Vista previa |
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