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 2021-11-01 to 2025-11-01.)
ArticleCitations
82
Modeling cycles and interdependence in irregularly sampled geophysical time series23
Scalable multiple changepoint detection for functional data sequences21
Continuous model averaging for benchmark dose analysis: Averaging over distributional forms17
Rejoinder to the discussion on “A combined estimate of global temperature”17
Catalysing virtual collaboration: The experience of the remote TIES working groups13
11
Nonlinear prediction of functional time series11
Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes10
10
2023 Editorial Collaborators10
Issue Information9
9
Clustering of bivariate satellite time series: A quantile approach9
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure9
Issue Information9
An illustration of model agnostic explainability methods applied to environmental data9
Automatic deforestation detectors based on frequentist statistics and their extensions for other spatial objects8
Uncertainty: Nothing is more certain8
Analyzing Inter‐Hemispheric Climate Change Asymmetries With a Cointegrated Vector Autoregression8
Issue Information8
Global sensitivity and domain‐selective testing for functional‐valued responses: An application to climate economy models8
Gradient‐Boosted Generalized Linear Models for Conditional Vine Copulas7
A Bayesian spatio‐temporal model for short‐term forecasting of precipitation fields7
Assessing predictability of environmental time series with statistical and machine learning models7
Discussion on “A combined estimate of global temperature”7
Statistical Inference for Natural Resources and Biodiversity7
A Bayesian framework for studying climate anomalies and social conflicts7
Issue Information7
Pesticide concentration monitoring: Investigating spatio‐temporal patterns in left censored data6
A double fixed rank kriging approach to spatial regression models with covariate measurement error6
Issue Information6
Discussion on “A combined estimate of global temperature”6
Modeling Disease Dynamics From Spatially Explicit Capture‐Recapture Data5
Record events attribution in climate studies5
Smooth copula‐based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada5
Emulation of greenhouse‐gas sensitivities using variational autoencoders5
Structural equation models for simultaneous modeling of air pollutants5
Stochastic tropical cyclone precipitation field generation5
Calibrated forecasts of quasi‐periodic climate processes with deep echo state networks and penalized quantile regression5
5
Issue Information5
4
Categorical data analysis using discretization of continuous variables to investigate associations in marine ecosystems4
Intersection between environmental data science and the R community in Latin America4
4
Exact optimisation of spatiotemporal monitoring networks by p‐splines with applications in groundwater assessment4
Anthropogenic and meteorological effects on the counts and sizes of moderate and extreme wildfires4
Practical strategies for generalized extreme value‐based regression models for extremes4
Comparing emulation methods for a high‐resolution storm surge model4
A Multivariate Space‐Time Dynamic Model for Characterizing the Atmospheric Impacts Following the Mt. Pinatubo Eruption4
Comparative Analysis of Bootstrap Techniques for Confidence Interval Estimation in Spatial Covariance Parameters With Large Spatial Data4
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression4
Estimation of change with partially overlapping and spatially balanced samples4
REDS: Random ensemble deep spatial prediction4
Assessing the ability of adaptive designs to capture trends in hard coral cover4
Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data4
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
Correction to “Estimation of Impact Ranges for Functional Valued Predictors”4
Spatiotemporal modeling of mature‐at‐length data using a sliding window approach4
CO2has significant implications for hourly ambient temperature: Evidence from Hawaii4
The scope of the Kalman filter for spatio‐temporal applications in environmental science3
Detection of anomalous radioxenon concentrations: A distribution‐free approach3
Modeling Anisotropy and Non‐Stationarity Through Physics‐Informed Spatial Regression3
Framing data science, analytics and statistics around the digital earth concept3
3
Long memory conditional random fields on regular lattices3
Discussion on “Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”3
Generalized gamma ARMA process for synthetic aperture radar amplitude and intensity data3
New generalized extreme value distribution with applications to extreme temperature data3
3
Using Expected Improvement of Gradients for Robotic Exploration of Ocean Salinity Fronts3
“Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models”3
3
Joint species distribution modeling with competition for space3
Environmental data science: Part 13
Multivariate nearest‐neighbors Gaussian processes with random covariance matrices3
Generalization of the power‐law rating curve using hydrodynamic theory and Bayesian hierarchical modeling3
The role of data science in environmental digital twins: In praise of the arrows3
Spatiotemporal Causal Inference With Mechanistic Ecological Models: Evaluating Targeted Culling on Chronic Wasting Disease Dynamics in Cervids3
On the impact of spatial covariance matrix ordering on tile low‐rank estimation of Matérn parameters3
Bayesian benchmark dose risk assessment with mixed‐factor quantal data2
Data science and climate risk analytics2
A spatiotemporal analysis of NO2 concentrations during the Italian 2020 COVID‐19 lockdown2
Approximation of Bayesian Hawkes process with inlabru2
Modeling temporally misaligned data across space: The case of total pollen concentration in Toronto2
A notable Gamma‐Lindley first‐order autoregressive process: An application to hydrological data2
P‐min‐Stable Regression Models for Time Series With Extreme Values of Limited Range2
Total least squares bias in climate fingerprinting regressions with heterogeneous noise variances and correlated explanatory variables2
A zero‐inflated Poisson spatial model with misreporting for wildfire occurrences in southern Italian municipalities2
Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data2
Regression methods for the appearances of extremes in climate data2
Families of complex‐valued covariance models through integration2
Pointwise data depth for univariate and multivariate functional outlier detection2
2
2
Functional zoning of biodiversity profiles2
Estimating Extreme Wave Surges in the Presence of Missing Data2
Animal Trajectory Imputation and Uncertainty Quantification via Deep Learning2
Issue Information2
Computational Benchmark Study in Spatio‐Temporal Statistics With a Hands‐On Guide to Optimise R2
On Tail Structural Change in U.S. Climate Data2
A spatially‐weighted AMH copula‐based dissimilarity measure for clustering variables: An application to urban thermal efficiency2
Locally correlated Poisson sampling1
Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions1
Fuzzy Clustering of Circular Time Series With Applications to Wind Data1
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
Issue Information1
Skew Gaussian Markov Random Fields Under Decomposable Graphs1
Semiparametric Copula‐Based Confidence Intervals on Level Curves for the Evaluation of the Risk Level Associated to Bivariate Events1
Issue Information1
Association between air pollution and COVID‐19 disease severity via Bayesian multinomial logistic regression with partially missing outcomes1
Novel Approach for Hierarchical Family Selection of an Ambient Air Pollutant Mixture With Application to Childhood Asthma1
Multistage hierarchical capture–recapture models1
Issue Information1
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models1
On the identifiability of the trinomial model for mark‐recapture‐recovery studies1
Statistical evaluation of a long‐memory process using the generalized entropic value‐at‐risk1
1
Front Cover Image, Volume 34, Number 1, February 20231
Mitigating spatial confounding by explicitly correlating Gaussian random fields1
How to find the best sampling design: A new measure of spatial balance1
2021 Editorial Collaborators1
Issue Information1
Adaptive Now‐ and Forecasting of Global Temperatures Under Smooth Structural Changes1
1
Linear Assignment Sampling: Spatially Balanced Sampling With Auxiliary Variables1
Bayesian Multiple Change Point Detection in the Presence of Outliers and Its Application to the Magnitude‐Frequency Distributions1
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
1
New Parametric Approach for Modeling Hydrological Data: An Alternative to the Beta, Kumaraswamy, and Simplex Models1
Issue Information1
A Partially Varying‐Coefficient Model With Skew‐T Random Errors for Environmental Data Modeling1
1
Effects of Climate Change on House Prices in Outdoor Tourism Destinations: A Case Study of Southwestern Colorado1
A nonstationary and non‐Gaussian moving average model for solar irradiance1
Issue Information1
Issue Information1
Fast parameter estimation of generalized extreme value distribution using neural networks1
Estimation of Impact Ranges for Functional Valued Predictors1
A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data1
Shooting for abundance: Comparing integrated multi‐sampling models for camera trap and hair trap data1
Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models1
0.064357042312622