Time series analysis comprises a set of statistical and computational methods for modeling, decomposing, and forecasting data indexed in time order, explicitly accounting for temporal dependence, nonstationarity, and serial correlation. Core approaches include autoregressive (AR), moving average (MA), and ARIMA-family models, state-space and Kalman filter methods, spectral and wavelet analysis, and modern machine learning–based sequence models. Typical objectives are identification of underlying stochastic processes, estimation of parameters, detection of structural breaks, and prediction of future values, while addressing issues such as seasonality, trends, heteroskedasticity, and autocorrelated residuals under rigorously defined probabilistic frameworks.
For years, scientists have been using a method called "temporal autocorrelation (TAC)" to measure forest resilience using satellite data. However, scientists have not used TAC uniformly, and its use as a resilience indicator ...
Environment
18 hours ago
0
3
For over a century, doctors have used electrocardiograms (EKGs) to render the invisible electrical activity of the human heart visible, using the pulse to diagnose disease before it becomes fatal. Now, scientists have invented ...
Environment
Jun 8, 2026
0
10
The Tenpō Famine of the 1830s was one of the worst in Japanese history, with the poor weather causing escalating rice prices as a major cause. To better understand how historical weather anomalies affected crop prices in ...
Environment
May 14, 2026
0
12
On a sweltering August afternoon or in the teeth of a winter storm, New York City subway riders make a quiet calculation: Is the trip worth it? A new study published in npj Sustainable Mobility and Transport takes a detailed ...
Environment
Apr 25, 2026
0
102
Earthquakes occur when the tectonic plates of the Earth's crust shift, jolting past each other in a release of built-up tension. However, other natural forces can also influence seismic activity: Hydrological dynamics, like ...
Earth Sciences
Mar 25, 2026
0
42
New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records. The approach could improve ...
Earth Sciences
Mar 20, 2026
0
14
Different regions of the United States are experiencing different patterns of warming climate, requiring region-specific adaptation, according to a study published in PLOS Climate by María Dolores Gadea Rivas of the University ...
Earth Sciences
Mar 4, 2026
0
1310
From tornadoes and hurricanes to wildfires and floods, weather and climate disasters cause billions of dollars in damage, on top of their steep human toll. Those costs could rise sharply in the years ahead, according to a ...
Environment
Feb 24, 2026
0
36
There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, using data from the ...
Earth Sciences
Feb 12, 2026
0
19
New research from Northern Arizona University shows detailed CO2 emissions for the United States from 2010 to 2022.
Earth Sciences
Dec 17, 2025
2
143
