Environmetrics

Papers
(The median citation count of Environmetrics is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
26
Spatiotemporal Magnitude Classification: A New Approach Using a Graph Convolution LSTM Model16
Catalysing virtual collaboration: The experience of the remote TIES working groups16
Spatio‐Temporal Analysis of Extreme PM2.5 Levels in Taiwan14
Nonlinear prediction of functional time series13
2023 Editorial Collaborators13
Bayesian Mediation Analysis With Bayesian Additive Regression Trees13
Estimation of Parameters in Inhomogeneous Neyman‐Scott Processes Using Presence/Absence Data11
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Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure11
Issue Information10
An illustration of model agnostic explainability methods applied to environmental data10
Issue Information10
Hierarchical Bayesian Modeling of Total Column Ozone: Unraveling Equatorial Variability Over Ethiopia Using Satellite Data and Multisource Covariates10
Issue Information10
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes10
Clustering of bivariate satellite time series: A quantile approach9
Analyzing Inter‐Hemispheric Climate Change Asymmetries With a Cointegrated Vector Autoregression9
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects8
Short‐Term CO 2 Emissions Forecasting: Insight From the Italian Electricity Market8
Enhancing the Accuracy of Spatio‐Temporal Models for Wind Speed Prediction by Incorporating Bias‐Corrected Crowdsourced Data8
Uncertainty: Nothing is more certain8
A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data8
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models8
Accounting for Missing Data When Modelling Block Maxima8
Assessing predictability of environmental time series with statistical and machine learning models7
A Bayesian framework for studying climate anomalies and social conflicts7
Issue Information7
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields7
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas7
A double fixed rank kriging approach to spatial regression models with covariate measurement error6
Record events attribution in climate studies6
Emulation of greenhouse‐gas sensitivities using variational autoencoders6
Statistical Inference for Natural Resources and Biodiversity6
Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications6
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression6
Issue Information6
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data6
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data6
Issue Information6
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CO2has significant implications for hourly ambient temperature: Evidence from Hawaii5
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REDS: Random ensemble deep spatial prediction5
Issue Information5
Stochastic tropical cyclone precipitation field generation5
Structural equation models for simultaneous modeling of air pollutants5
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada5
Multi‐Step Forecasting of Wind Speed and Solar Irradiance Using Lag‐Optimized Stochastic Stacked LSTM Networks5
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires5
Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score5
Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model5
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data4
Comparing emulation methods for a high‐resolution storm surge model4
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Assessing the ability of adaptive designs to capture trends in hard coral cover4
Predicting Direction of High‐Speed Wind: A Bayesian Approach to Conditional Cylindrical Distributions4
Non‐Stationarities in Extreme Hourly Precipitation Over the Piave Basin, Northern Italy4
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression4
A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption4
Estimation of change with partially overlapping and spatially balanced samples4
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment4
Long‐Term Historical Slowdown in Atlantic Meridional Overturning Circulation4
Semiparametric Approaches for Mitigating Spatial Confounding in Large Environmental Epidemiology Cohort Studies4
A Matsuoka‐Based GARMA Model for Environmental and Energy Systems: Theory, Estimation, and Applications4
Correction to “Estimation of Impact Ranges for Functional Valued Predictors”4
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach4
Secondary Fuzzy Clustering of Multi‐Dimensional 2D Time Series Arrays (SFC‐2DTSA) Using DTW Metric: An Application to Drought Data4
Unified Calibration and Spatial Mapping of Fine Particulate Matter Data From Multiple Low‐Cost Air Pollution Sensor Networks in Baltimore, Maryland3
Using Expected Improvement of Gradients for Robotic Exploration of Ocean Salinity Fronts3
Detection of anomalous radioxenon concentrations: A distribution‐free approach3
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression3
What Seismic Phase is L'Aquila in Fifteen Years After the Mw6.1 Earthquake of April 6, 2009?3
Joint species distribution modeling with competition for space3
Improving and Evaluating Resistant Alternatives to Procrustes Analysis for Multivariate Dataset Matching3
New generalized extreme value distribution with applications to extreme temperature data3
Environmental data science: Part 13
The scope of the Kalman filter for spatio‐temporal applications in environmental science3
Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices3
Issue Information3
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data3
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data3
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Generalized Additive Model With Dynamic Coefficients for Spatiotemporal Ozone Predictions3
Computational Benchmark Study in Spatio‐Temporal Statistics With a Hands‐On Guide to Optimise R2
Compositional Outcomes and Environmental Mixtures: The Dirichlet Bayesian Weighted Quantile Sum Regression2
Estimating Extreme Wave Surges in the Presence of Missing Data2
Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data2
Approximation of Bayesian Hawkes process with inlabru2
Regression methods for the appearances of extremes in climate data2
Long Short‐Term Memory Network and Statistical Time Series Analysis Forecast Models for 30 min Interval Wind Farm Power Output and Regional Price Variables2
Trends in Rainfall and Temperature in the Murray Mallee and Upper Eyre Peninsula Region of South Australia—Connections to Climate and Land Use Change2
Simulation‐Based Inference for Close‐Kin Mark‐Recapture: Implications for Small Populations and Nonrandom Mating2
WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO 2 Flux Components From Multiprocess Data2
Issue Information2
P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range2
Animal Trajectory Imputation and Uncertainty Quantification via Deep Learning2
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables2
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters2
Estimation of Spatial and Temporal Autoregressive Effects Using LASSO —An Example of Hourly Particulate Matter Concentrations2
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Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids2
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto2
Families of complex‐valued covariance models through integration2
Bayesian benchmark dose risk assessment with mixed‐factor quantal data2
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”2
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency2
Functional zoning of biodiversity profiles2
Clustering the Nearest Neighbor Gaussian Process2
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A Dynamic Model for Extreme Hourly Precipitation2
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”2
The role of data science in environmental digital twins: In praise of the arrows2
Long memory conditional random fields on regular lattices2
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk1
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How to find the best sampling design: A new measure of spatial balance1
Compactly‐Supported Nonstationary Kernels for Computing Exact Gaussian Processes on Big Data1
Front Cover Image, Volume 34, Number 1, February 20231
Comonotonic‐Based Time Series Clustering With Constraints: A Review and a Conceptual Framework1
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data1
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A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities1
Issue Information1
Linear Assignment Sampling: Spatially Balanced Sampling With Auxiliary Variables1
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On Tail Structural Change in U.S. Climate Data1
Bayesian Multiple Change Point Detection in the Presence of Outliers and Its Application to the Magnitude‐Frequency Distributions1
Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions1
On the identifiability of the trinomial model for mark‐recapture‐recovery studies1
Issue Information1
A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions1
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada1
Multistage hierarchical capture–recapture models1
Issue Information1
Multiscale Multi‐Type Spatial Bayesian Analysis for High‐Dimensional Data With Application to Wildfires and Migration1
A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data1
Skew Gaussian Markov Random Fields Under Decomposable Graphs1
Fast parameter estimation of generalized extreme value distribution using neural networks1
Issue Information1
Return Period of Nonconcurrent Climate Compound Events: A Nonparametric Bivariate Generalized Pareto Approach1
Data science and climate risk analytics1
Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado1
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models1
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Adaptive Now‐ and Forecasting of Global Temperatures Under Smooth Structural Changes1
Estimation of Impact Ranges for Functional Valued Predictors1
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Spatial Approach of Peaks‐Over‐Thresholds in Trend Detection of Extremes1
A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures1
Issue Information1
Novel Approach for Hierarchical Family Selection of an Ambient Air Pollutant Mixture With Application to Childhood Asthma1
Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events1
Pointwise data depth for univariate and multivariate functional outlier detection1
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models1
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A Partially Varying‐Coefficient Model With Skew‐T Random Errors for Environmental Data Modeling1
Fuzzy Clustering of Circular Time Series With Applications to Wind Data1
Characterizing Asymptotic Dependence between a Satellite Precipitation Product and Station Data in the Northern US Rocky Mountains via the Tail Dependence Regression Framework With a Gibbs 1
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models1
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