Environmetrics

Papers
(The median citation count of Environmetrics is 0. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
114
Spatio‐Temporal Analysis of Extreme PM2.5 Levels in Taiwan30
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms23
Nonlinear prediction of functional time series22
Spatiotemporal Magnitude Classification: A New Approach Using a Graph Convolution LSTM Model14
Catalysing virtual collaboration: The experience of the remote TIES working groups14
Estimation of Parameters in Inhomogeneous Neyman‐Scott Processes Using Presence/Absence Data13
2023 Editorial Collaborators13
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Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes12
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure11
An illustration of model agnostic explainability methods applied to environmental data11
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Issue Information10
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Clustering of bivariate satellite time series: A quantile approach9
Analyzing Inter‐Hemispheric Climate Change Asymmetries With a Cointegrated Vector Autoregression9
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Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects9
Accounting for Missing Data When Modelling Block Maxima8
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields8
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models8
A New Unit‐Lindley Mixed‐Effects Model With an Application to Electricity Access Data8
Assessing predictability of environmental time series with statistical and machine learning models8
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas8
Enhancing the Accuracy of Spatio‐Temporal Models for Wind Speed Prediction by Incorporating Bias‐Corrected Crowdsourced Data8
A Bayesian framework for studying climate anomalies and social conflicts8
Uncertainty: Nothing is more certain8
Issue Information7
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data6
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression6
Emulation of greenhouse‐gas sensitivities using variational autoencoders6
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Statistical Inference for Natural Resources and Biodiversity6
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data6
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A double fixed rank kriging approach to spatial regression models with covariate measurement error6
Record events attribution in climate studies6
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Demonstrating the Power and Flexibility of Variational Assumptions for Amortized Neural Posterior Estimation in Environmental Applications6
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires5
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada5
Assessing the ability of adaptive designs to capture trends in hard coral cover5
Correction to “Estimation of Impact Ranges for Functional Valued Predictors”5
Practical strategies for generalized extreme value‐based regression models for extremes5
REDS: Random ensemble deep spatial prediction5
CO2has significant implications for hourly ambient temperature: Evidence from Hawaii5
Structural equation models for simultaneous modeling of air pollutants5
Estimation of change with partially overlapping and spatially balanced samples5
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach5
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Modeling Bounded Count Environmental Data Using a Contaminated Beta‐Binomial Regression Model5
Stochastic tropical cyclone precipitation field generation5
Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score5
Non‐Stationarities in Extreme Hourly Precipitation Over the Piave Basin, Northern Italy5
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment5
Improving and Evaluating Resistant Alternatives to Procrustes Analysis for Multivariate Dataset Matching4
A Matsuoka‐Based GARMA Model for Environmental and Energy Systems: Theory, Estimation, and Applications4
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
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Detection of anomalous radioxenon concentrations: A distribution‐free approach4
A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption4
Semiparametric Approaches for Mitigating Spatial Confounding in Large Environmental Epidemiology Cohort Studies4
Covariance structure assessment in multi‐level models for the analysis of forests rainfall interception data using repeated measures4
Using Expected Improvement of Gradients for Robotic Exploration of Ocean Salinity Fronts4
Environmental data science: Part 14
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data4
Comparing emulation methods for a high‐resolution storm surge model4
Intersection between environmental data science and the R community in Latin America4
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data4
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression3
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Framing data science, analytics and statistics around the digital earth concept3
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”3
The role of data science in environmental digital twins: In praise of the arrows3
New generalized extreme value distribution with applications to extreme temperature data3
Joint species distribution modeling with competition for space3
Generalized Additive Model With Dynamic Coefficients for Spatiotemporal Ozone Predictions3
Simulation‐Based Inference for Close‐Kin Mark‐Recapture: Implications for Small Populations and Nonrandom Mating3
What Seismic Phase is L'Aquila in Fifteen Years After the Mw6.1 Earthquake of April 6, 2009?3
The scope of the Kalman filter for spatio‐temporal applications in environmental science3
WOMBAT v2.S: A Bayesian Inversion Framework for Attributing Global CO 2 Flux Components From Multiprocess Data3
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A Dynamic Model for Extreme Hourly Precipitation3
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices3
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Trends in Rainfall and Temperature in the Murray Mallee and Upper Eyre Peninsula Region of South Australia—Connections to Climate and Land Use Change2
Approximation of Bayesian Hawkes process with inlabru2
Computational Benchmark Study in Spatio‐Temporal Statistics With a Hands‐On Guide to Optimise R2
Bayesian benchmark dose risk assessment with mixed‐factor quantal data2
Issue Information2
Clustering the Nearest Neighbor Gaussian Process2
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”2
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids2
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Long Short‐Term Memory Network and Statistical Time Series Analysis Forecast Models for 30 min Interval Wind Farm Power Output and Regional Price Variables2
On Tail Structural Change in U.S. Climate Data2
Families of complex‐valued covariance models through integration2
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables2
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency2
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto2
Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data2
Animal Trajectory Imputation and Uncertainty Quantification via Deep Learning2
Long memory conditional random fields on regular lattices2
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters2
P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range2
Estimating Extreme Wave Surges in the Presence of Missing Data2
Functional zoning of biodiversity profiles2
Regression methods for the appearances of extremes in climate data2
Fast parameter estimation of generalized extreme value distribution using neural networks1
Novel Approach for Hierarchical Family Selection of an Ambient Air Pollutant Mixture With Application to Childhood Asthma1
A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities1
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A Separable Bootstrap Variance Estimation Algorithm for Hierarchical Model‐Based Inference of Forest Aboveground Biomass Using Data From NASA's GEDI and Landsat Missions1
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Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events1
Estimation of Impact Ranges for Functional Valued Predictors1
Multistage hierarchical capture–recapture models1
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk1
Bayesian Multiple Change Point Detection in the Presence of Outliers and Its Application to the Magnitude‐Frequency Distributions1
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models1
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Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes1
Linear Assignment Sampling: Spatially Balanced Sampling With Auxiliary Variables1
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A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures1
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Compactly‐Supported Nonstationary Kernels for Computing Exact Gaussian Processes on Big Data1
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Front Cover Image, Volume 34, Number 1, February 20231
On the selection of an interpolation method with an application to the Fire Weather Index in Ontario, Canada1
Multiscale Multi‐Type Spatial Bayesian Analysis for High‐Dimensional Data With Application to Wildfires and Migration1
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Skew Gaussian Markov Random Fields Under Decomposable Graphs1
Pointwise data depth for univariate and multivariate functional outlier detection1
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A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data1
Data science and climate risk analytics1
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Spatial Approach of Peaks‐Over‐Thresholds in Trend Detection of Extremes1
Comonotonic‐Based Time Series Clustering With Constraints: A Review and a Conceptual Framework1
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How to find the best sampling design: A new measure of spatial balance1
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Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado1
A Partially Varying‐Coefficient Model With Skew‐T Random Errors for Environmental Data Modeling1
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data1
Return Period of Nonconcurrent Climate Compound Events: A Nonparametric Bivariate Generalized Pareto Approach1
A New Clustering Strategy for Geo‐Referenced Time Series Based on Optimal Transport0
Estimating atmospheric motion winds from satellite image data using space‐time drift models0
Penalized distributed lag interaction model: Air pollution, birth weight, and neighborhood vulnerability0
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Applying sequential adaptive strategies for sampling animal populations: An empirical study0
Subordinated Gaussian processes for solar irradiance0
From Climate Chat to Climate Shock: Non‐Linear Impacts of Transition Risk in Energy CDS Markets0
A vector of point processes for modeling interactions between and within species using capture‐recapture data0
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Scanner: Simultaneously temporal trend and spatial cluster detection for spatial‐temporal data0
Combined Quantile Forecasting for High‐Dimensional Non‐Gaussian Data0
Causal Discovery in Multivariate Extremes: A Study of Swiss Hydrological Catchments0
Normalization methods for spatio‐temporal analysis of environmental performance: Revisiting the Min–Max method0
Under the mantra: ‘Make use of colorblind friendly graphs’0
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Estimating functional single index models with compact support0
Bayesian geostatistical modeling for discrete‐valued processes0
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A Bayesian change point modeling approach to identify local temperature changes related to urbanization0
2022 Editorial Collaborators0
Statistical Downscaling of the Bulk and Tail of Simulated Precipitations0
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Stratified, Spatially Balanced Cluster Sampling for Cost‐Efficient Environmental Surveys0
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Estimating the Impact of Socioeconomic Drivers on Land Degradation in Italy via Spatio‐Temporal Additive Expectile Regression0
Stable sums to infer high return levels of multivariate rainfall time series0
A Bayesian time series model for reconstructing hydroclimate from multiple proxies0
Bayesian functional emulation of CO2 emissions on future climate change scenarios0
Modeling Spatio‐Temporal Transport: From Rigid Advection to Realistic Dynamics0
An extended PDE‐based statistical spatio‐temporal model that suppresses the Gibbs phenomenon0
Spatial regression modeling via the R2D2 framework0
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Detecting changes in mixed‐sampling rate data sequences0
A New Kernel Prediction Approach Under Kibria‐Lukman Methodology for Partially Linear Mixed Measurement Error Models0
Bayesian multiple changepoint detection with missing data and its application to the magnitude‐frequency distributions0
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Air pollution estimation under air stagnation—A case study of Beijing0
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Correction to “Spatially Explicit Model to Disentangle Effects of Environment on Annual Fish Reproduction”0
Estimation and selection for spatial zero‐inflated count models0
Nonparametric estimation of variable productivity Hawkes processes0
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Occupancy Modeling for Rare Species Using Large Datasets: A Subsampling Approach0
Novel application of a process convolution approach for calibrating output from numerical models0
Entropy‐Based Assessment of Biodiversity, With Application to Ants' Nests Data0
Spatially Explicit Model to Disentangle Effects of Environment on Annual Fish Reproduction0
Evaluation of ETAS and STEP Forecasting Models for California Seismicity Using Point Process Residuals0
From model selection to maps: A completely design‐based data‐driven inference for mapping forest resources0
A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution0
Correction to “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”0
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Dependence Between Effort Offsets and Process Intensity in Generalized Models for Count Data: Spatial Models of Animal Abundance0
Multivariate receptor modeling with widely dispersed Lichens as bioindicators of air quality0
Bayesian Spatial Analysis of Misclassified Binary Data Incorporating Internal‐Validation Studies0
EM algorithm for generalized Ridge regression with spatial covariates0
A Spatial Hierarchical PGEV Model With Temporal Effects for Enhancing Extreme Value Analysis0
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CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model0
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A note on statistical tests for homogeneities in multivariate extreme value models for block maxima0
Modeling the Spatial Interplay Between Migration and Environmental Conditions0
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2024 Editorial Collaborators0
Modeling Economic Drivers and Spatial Dependencies in COVID ‐19 Transmission: A Locality‐Based Environmetric Approach0
Stacking Weights and Model Space Selection in Frequentist Model Averaging for Benchmark Dose Estimation0
The Effect of the North Atlantic Oscillation on Monthly Precipitation in Selected European Locations: A Non‐Linear Time Series Approach0
Flood hazard model calibration using multiresolution model output0
Achieving spatial balance in environmental surveys under constant inclusion probabilities or inclusion density functions0
Contamination severity index: An analysis of Bangladesh groundwater arsenic0
Elastic functional changepoint detection of climate impacts from localized sources0
A Varying Precision Beta Prime Autoregressive Moving Average Model With Application to Water Flow Data0
Decisions, decisions, decisions in an uncertain environment0
Large‐scale environmental data science with ExaGeoStatR0
Bayesian spatio‐temporal survival analysis for all types of censoring with application to a wildlife disease study0
Estimating the spatial distribution of the white shark in the Mediterranean Sea via an integrated species distribution model accounting for physical barriers0
A Multivariate Approach for Modeling Spatio‐Temporal Agrometeorological Variables0
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Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation0
Scalable spatio‐temporal smoothing via hierarchical sparse Cholesky decomposition0
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Modeling nonstationary surface‐level ozone extremes through the lens of US air quality standards: A Bayesian hierarchical approach0
The Impact of Climatic Factors on Respiratory Pharmaceutical Demand: A Comparison of Forecasting Models for Greece0
On the identifiability of the trinomial model for mark‐recapture‐recovery studies0
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Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data0
Data science applied to environmental sciences0
Bias correction of daily precipitation from climate models, using the Q‐GAM method0
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Modeling the spatial evolution wildfires using random spread process0
Spatial Modeling of Extremes and an Angular Component0
Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking0
A Bayesian Multisource Fusion Model for Spatiotemporal PM2.5$$ {\mathrm{PM}}_{2.5} $$ in an Urban Setting0
A hierarchical Bayesian non‐asymptotic extreme value model for spatial data0
Two‐phase adaptive cluster sampling with circular field plots0
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Developments in Functional Regression Model for Network Structured Data0
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