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Bivariate Time Series Analysis
Analysis of bivariate time series is necessary for detecting teleconnections and reconstructing climate but it is almost always done in natural... -
Analysis of Trivariate Time Series
The trivariate case presents an important transfer to really multivariate time series. It includes frequency domain characteristics which have not... -
Gap-filling missing data in time series using the correlation matrix method of multiple time series in Asadabad Plain, Iran
Groundwater resources are crucial sources of water supply, and preserving the quality of these resources is an undeniable necessity. On the other...
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Analysis of Scalar Time Series
The basics of theory of random processes including the concepts of stationarity, ergodicity, and linearity are given in simple form to help user to... -
Practical Time Series Analysis in Natural Sciences
This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than...
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Seasonal components in GPS displacement time series
We present a simple method for identification of seasonal components in GPS displacement time series. The method considers two options for the...
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Reconstruction of geodetic time series with missing data and time-varying seasonal signals using Gaussian process for machine learning
Seasonal signals in satellite geodesy time series are mainly derived from a number of loading sources, such as atmospheric pressure and hydrological...
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Minimum-entropy velocity estimation from GPS position time series
We propose a nonparametric minimum entropy method for estimating an optimal velocity from position time series, which may contain unknown noise, data...
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Causal inference for time series
Many research questions in Earth and environmental sciences are inherently causal, requiring robust analyses to establish whether and how changes in...
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Identify Landslide Precursors from Time Series InSAR Results
Landslides cause huge human and economic losses globally. Detecting landslide precursors is crucial for disaster prevention. The small baseline...
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Strategies to remove hydrological effects in continuous gravity time series
Multi-annual gravity time series offer a unique, noninvasive way to monitor mass redistributions within the Earth. However, for non-hydrological...
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Moving Trend Analysis Methodology for Hydro-meteorology Time Series Dynamic Assessment
In the last 30 years, there are many publications in the literature due to global warming and climate change impacts exhibiting non-stationary...
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Time Series Forecasting of Indian Coal Mines Fatal Accidents
AbstractThe present study analyzes the fatal accident occurrences of seventy years from 1951 to 2020 in Indian coal mines. The autoregressive...
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Extended singular spectrum analysis for processing incomplete heterogeneous geodetic time series
The singular spectrum analysis (SSA) is a powerful tool to de-noise the geodetic time series and extract geophysical signals of interest. However,...
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Modeling trends and periodic components in geodetic time series: a unified approach
Geodetic time series are usually modeled with a deterministic approach that includes trend, annual, and semiannual periodic components having...
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Neural network based system in evapotranspiration time series prediction
Evapotranspiration is a very important process of the water cycle. Thus, the ability to model and understand evolution of this process is very...
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Time Series Analysis
Time series analysis is used to investigate the temporal behavior of a variable x(t). Examples include investigations into long-term records of... -
Time series modelling: applications for groundwater control in urban tunnelling
Water ingress to tunnels may result in pore pressure drawdown and consolidation settlements in areas above tunnels founded on soft soil deposits,...
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Anatomy of the spatiotemporally correlated noise in GNSS station position time series
Global Navigation Satellite Systems (GNSS) enable the determination of station displacements, which are essential to understanding geophysical...