scholarly journals KarsTS: an R package for microclimate time series analysis

2019 ◽  
Vol 12 (4) ◽  
pp. 685-697
Author(s):  
M. Sáez ◽  
C. Pla ◽  
S. Cuezva ◽  
D. Benavente
2020 ◽  
Author(s):  
Ulrich Leopold ◽  
Benedikt Gräler ◽  
Henning Bredel ◽  
J. Arturo Torres-Matallana ◽  
Philippe Pinheiro ◽  
...  

<p>We present an implementation of a time series analysis toolbox for remote sensing imagery in R which has been largely funded by the European Space Agency within the PROBA-V MEP Third Party Services project. The toolbox is developed according to the needs of the time series analysis community. The data is provided by the PROBA-V mission exploitation platform (MEP) at VITO. The toolbox largely builds on existing specialized R packages and functions for raster and time series analysis combining these in a common framework.</p><p>In order to ease access and usage of the toolbox, it has been deployed in the MEP Spark Cluster to bring the algorithm to the data. All functions are also wrapped in a Web Processing Service (WPS) using 52°North’s WPS4R extension for interoperability across web platforms. The WPS can be orchestrated in the Automatic Service Builder (ASB) developed by Space Applications. Hence, the space-time analytics developed in R can be integrated into a larger workflow potentially integrating external data and services. The WPS provides a Webclient including a preview of the results in a map window for usage within the MEP. Results are offered for download or through Web Mapping and Web Coverage Services (WMS, WCS) provided through a Geoserver instance.</p><p>Through its interoperability features the EOTSA toolbox provides a contribution towards collaborative science.</p>


The R Journal ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 266
Author(s):  
Xialu Liu ◽  
Rong Chen ◽  
Ruey Tsay

2018 ◽  
Vol 3 (82) ◽  
Author(s):  
Eurelija Venskaitytė ◽  
Jonas Poderys ◽  
Tadas Česnaitis

Research  background  and  hypothesis.  Traditional  time  series  analysis  techniques,  which  are  also  used  for the analysis of cardiovascular signals, do not reveal the relationship between the  changes in the indices recorded associated with the multiscale and chaotic structure of the tested object, which allows establishing short-and long-term structural and functional changes.Research aim was to reveal the dynamical peculiarities of interactions of cardiovascular system indices while evaluating the functional state of track-and-field athletes and Greco-Roman wrestlers.Research methods. Twenty two subjects participated in the study, their average age of 23.5 ± 1.7 years. During the study standard 12 lead electrocardiograms (ECG) were recorded. The following ECG parameters were used in the study: duration of RR interval taken from the II standard lead, duration of QRS complex, duration of JT interval and amplitude of ST segment taken from the V standard lead.Research  results.  Significant  differences  were  found  between  inter-parametric  connections  of  ST  segment amplitude and JT interval duration at the pre and post-training testing. Observed changes at different hierarchical levels of the body systems revealed inadequate cardiac metabolic processes, leading to changes in the metabolic rate of the myocardium and reflected in the dynamics of all investigated interactions.Discussion and conclusions. It has been found that peculiarities of the interactions of ECG indices interactions show the exposure of the  functional changes in the body at the onset of the workload. The alterations of the functional state of the body and the signs of fatigue, after athletes performed two high intensity training sessions per day, can be assessed using the approach of the evaluation of interactions between functional variables. Therefore the evaluation of the interactions of physiological signals by using time series analysis methods is suitable for the observation of these processes and the functional state of the body.Keywords: electrocardiogram, time series, functional state.


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