OOIR: Observatory of International Research

Papers

(The TQCC of Spatial Statistics is 5. 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 2021-04-01 to 2025-04-01.)

Article	Citations
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	58
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	57
A criterion and incremental design construction for simultaneous kriging predictions	51
Spatio-temporal small area surveillance of the COVID-19 pandemic	50
A new class of α-transformations for the spatial analysis of Compo	47
Mapping the short-term exposure–response relationships between environmental factors and health outcomes and identifying the causes of heterogeneity: A multivariate-conditional-meta-autoregression-bas	39
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	37
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	31
Surface time series models for large spatio-temporal datasets	27
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	26
Analytical simulation methodology for nonlinear spatiotemporal models: Spatial salience in Covid-19 contagion	26
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	23
Semi-parametric resampling with extremes	19
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	19
A more accurate estimation with kernel machine for nonparametric spatial lag models	19
Imputed spatial data: Cautions arising from response and covariate imputation measurement error	18
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?	17
A Poisson cokriging method for bivariate count data	16
Copula-based multiple indicator kriging for non-Gaussian random fields	15
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	14
Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic	14
TheF-family of covariance functions: A Matérn	13
A K-function for inhomogeneous random measures with geometric featu	13
Deformed SPDE models with an application to spatial modeling of significant wave height	13
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	12

Comparing eight remotely sensed sea surface temperature products and Bayesian maximum entropy-based data fusion products	12
Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data	12
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	12
Bayesian surface regression versus spatial spectral nonparametric curve regression	11
A Bayesian nonparametric spatial model with covariate-dependent joint weights	11
Spherical Poisson point process intensity function modeling and estimation with measure transport	11
A two-stage Cox process model with spatial and nonspatial covariates	10
Deep graphical regression for jointly moderate and extreme Australian wildfires	9
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	9
Generalised hyperbolic state space models with application to spatio-temporal heat wave prediction	9
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	9
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	9
Spatial linear discriminant analysis approaches for remote-sensing classification	9
A flexible class of priors for orthonormal matrices with basis function-specific structure	8
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	8
Bayesian geographically weighted regression using Fused Lasso prior	8
Graph convolutional networks for spatial interpolation of correlated data	8
A flexible likelihood-based neural network extension of the classic spatio-temporal model	8
Spatial statistics and stochastic partial differential equations: A mechanistic viewpoint	8
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	8
A spatio-temporal model for temporal evolution of spatial extremal dependence	8
Spatial modeling for the distribution of species in plant communities	8
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	8
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	8
On the importance of thinking locally for statistics and society	8
Understanding the effects of dichotomization of continuous outcomes on geostatistical inference	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Modeling accident risk at the road level through zero-inflated negative binomial models: A case study of multiple road networks	7
Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires	7
Testing global and local dependence of point patterns on covariates in parametric models	7
Nonparametric spatiotemporal analysis of violent crime. A case study in the Rio de Janeiro metropolitan area	7
The impact of spatial statistics in Africa	7
Measurement error-filtered machine learning in digital soil mapping	7
Copula-Based Data-Driven Multiple-Point Simulation Method	7
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers	7
Use of fractals to measure anisotropy in point patterns extracted with the DPT of an image	7
Bayesian inference for big spatial data using non-stationary spectral simulation	7
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	7
Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic	6
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	6
Probabilistic Context Neighborhood model for lattices	6
Tests for isotropy in spatial point patterns – A comparison of statistical indices	6
Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections	6
Estimation and inference of multi-effect generalized geographically and temporally weighted regression models	6
A parametric specification test for linear spatial autoregressive models	6
Generalized mixed spatio-temporal modeling: Random effect via factor analysis with nonlinear interaction for cluster detection	6
Robust second-order stationary spatial blind source separation using generalized sign matrices	6
Using neural networks to estimate parameters in spatial point process models	5
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	5
Derivative-based spatial mediation with INLA-SPDE	5

Correlation-based hierarchical clustering of time series with spatial constraints	5
Editorial: Spatio-temporal dynamics of Covid	5
General spatial model meets adaptive shrinkage generalized moment estimation: Simultaneous model and moment selection	5
Flexible modeling of multivariate spatial extremes	5
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	5
Using spatial ordinal patterns for non-parametric testing of spatial dependence	5
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	5
A convolution type model for the intensity of spatial point processes applied to eye-movement data	5
Mesoscopic laddering in consumer behaviour: Analysing the modalities of consumption on a micro-individual scale in the Meeting, Incentive, Conference, Exhibitions (MICE) sector	5
Corrigendum to “Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants” [Spatial Stat. 45 (2021) 100533]	5
Modeling left-censored skewed spatial processes: The case of arsenic drinking water contamination	5
A selective view of climatological data and likelihood estimation	5
Clustered factor analysis for multivariate spatial data	5
A Hotelling spatial scan statistic for functional data: Application to economic and climate data	5
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	5
Impacts of spatial imputation on location-allocation problem solutions	5
WITHDRAWN: Editorial: Spatio-temporal dynamics of Covid	5
Ordered conditional approximation of Potts models	5