Name
Abstract | ||
|---|---|---|
We present the new R package CoinCalc for performing event coincidence analysis (ECA), a novel statistical method to quantify the simultaneity of events contained in two series of observations, either as simultaneous or lagged coincidences within a user-specific temporal tolerance window. The package also provides different analytical as well as surrogate-based significance tests (valid under different assumptions about the nature of the observed event series) as well as an intuitive visualization of the identified coincidences. We demonstrate the usage of CoinCalc based on two typical geoscientific example problems addressing the relationship between meteorological extremes and plant phenology as well as that between soil properties and land cover. HighlightsThe new R package CoinCalc has been developed.The package gives users the possibility to apply Event Coincidence Analysis.Event Coincidence Analysis is a novel tool to quantify simultaneities in two event time series |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cageo.2016.10.004 | Computers & Geosciences |
Keywords | Field | DocType |
Event coincidence analysis,R,Point processes,Extreme events,Time series analysis | Time series,Data mining,Visualization,Computer science,Point process,Coincidence,Soil properties,Statistics,Land cover,Simultaneity,R package | Journal |
Volume | Issue | ISSN |
98 | C | 0098-3004 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonatan F. Siegmund | 1 | 0 | 0.34 |
| Nicole Siegmund | 2 | 0 | 0.34 |
| Reik V. Donner | 3 | 53 | 7.04 |