Point patterns help to predict landslides
May 20, 2018
Rainfall simulations in statistical models could allow accurate prediction of dangerous landslides.
Results for environmental statistics
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Taking aim at outliers
May 5, 2019
Automatic detection of uncharacteristic data sequences could change the way data is processed and analyzed.
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Statistics plot pollution to inform policy
Aug 18, 2019
The spatial variation in different air pollution components helps identify possible targets for pollution control.
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Honing in on hotspots in spatial data
Sep 15, 2019
More accurate detection of hotspot clusters provides new insights into the behavior of air pollution.
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Expanding the scale of dangerous weather prediction
Sep 29, 2019
A more accurate and efficient method of capturing the local factors that lead to extreme rainfall enables better flood prediction across larger regions.
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Shaking up the landslide model
Oct 23, 2019
Areas without earthquake monitoring systems could model the tremors by using data from local landslides.
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Modeling rainfall drop by drop
Dec 20, 2020
A high-frequency model developed using data from new high-precision rain gauges gives fresh insight into the dynamics of rain and runoff events.
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Trio of tuning tools for modeling large spatial datasets
Aug 12, 2021
Statistical tools help fine-tune the parameters and approximations of models used to make sense of large spatial datasets.
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Beating the curse of dimensionality
Aug 15, 2021
A partial matching approach can overcome the dimensionality "curse" of continuous measurements over time to yield more accurate future predictions.
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Red Sea bioregions show changing blooms
Dec 5, 2021
Satellite data analysis lays a foundation for future studies on the impact of climate change on the Red Sea ecosystem.
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Getting to the bottom of deadly weather
Jan 5, 2022
Cold still causes far more deaths than heat in India.
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Getting the tail straight
Feb 13, 2022
A corrected description of the "tail dependence" for extreme events leads to a better statistical model for environmental data.
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A model for millions of locations
Aug 7, 2022
A faster and more statistically accurate modeling scheme enables better prediction of climate and environmental conditions at very large scales.
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Following the wind
Sep 6, 2022
How pollutants disperse in the atmosphere can be modeled more reliably using a physically based geostatistical framework.
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Deep neural networks that “get” spatial dependence
Nov 6, 2022
A deep-learning technique could offer accurate large-scale predictions in the field of geospatial statistics.
