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 2021-05-01 to 2025-05-01.)

Article	Citations
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	60
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	58
A flexible class of priors for orthonormal matrices with basis function-specific structure	49
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	41
A more accurate estimation with kernel machine for nonparametric spatial lag models	32
Bayesian geographically weighted regression using Fused Lasso prior	26
Spatial linear discriminant analysis approaches for remote-sensing classification	23
Modeling spatial correlation that grows on trees, with a stream network application	20
Correlation-based hierarchical clustering of time series with spatial constraints	20
Tests for isotropy in spatial point patterns – A comparison of statistical indices	19
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	19
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	19
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	16
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	16
Derivative-based spatial mediation with INLA-SPDE	16
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	15
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers	15
Using neural networks to estimate parameters in spatial point process models	15
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	14
Editorial: The impact of spatial statistics	14
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	13
Information criteria for matrix exponential spatial specifications	13
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	12
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants	12
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	12

Robust interaction detector: A case of road life expectancy analysis	12
The root-Gaussian Cox process and a generalized EMS algorithm	11
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	10
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	10
A log-additive neural model for spatio-temporal prediction of groundwater levels	10
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	9
Nonparametric isotropy test for spatial point processes using random rotations	9
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	9
An interaction Neyman–Scott point process model for coronavirus disease-19	9
Dynamic ICAR Spatiotemporal Factor Models	9
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	8
A generalized additive model (GAM) approach to principal component analysis of geographic data	8
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	8
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	8
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	8
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	8
Hierarchical Bayesian nearest neighbor co-kriging Gaussian process models; an application to intersatellite calibration	8
Regime-based precipitation modeling: A spatio-temporal approach	8
A perceptron for detecting the preferential sampling of locations and times chosen to monitor a spatio-temporal process	8
Flexible spatio-temporal Hawkes process models for earthquake occurrences	8
Parametric and nonparametric conditional quantile regression modeling for dependent spatial functional data	7
A new class of α-transformations for the spatial analysis of Compo	7
On the importance of thinking locally for statistics and society	7
A spatio-temporal model for temporal evolution of spatial extremal dependence	7
A Poisson cokriging method for bivariate count data	7
Spatial Bayesian neural networks	7
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	7
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	7
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	7
Spatio-temporal small area surveillance of the COVID-19 pandemic	7
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	7
Variograms for kriging and clustering of spatial functional data with phase variation	7
A criterion and incremental design construction for simultaneous kriging predictions	7
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	7
Copula-based multiple indicator kriging for non-Gaussian random fields	7
Flexible modeling of multivariate spatial extremes	6
A multivariate spatial and spatiotemporal ARCH Model	6
Editorial: Spatio-temporal dynamics of Covid	6
Probabilistic Context Neighborhood model for lattices	6
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	6
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	6
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	6
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	6
A parametric specification test for linear spatial autoregressive models	6
Mesoscopic laddering in consumer behaviour: Analysing the modalities of consumption on a micro-individual scale in the Meeting, Incentive, Conference, Exhibitions (MICE) sector	6
Clustered factor analysis for multivariate spatial data	6
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	5
Measurement error-filtered machine learning in digital soil mapping	5
Covariate-dependent spatio-temporal covariance models	5
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	5

A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	5
A comparison of model validation approaches for echo state networks using climate model replicates	5
A spatio-temporal model for detecting the effect of cocaine use disorder on functional connectivity	5
Which parameterization of the Matérn covariance function?	5
The (in)stability of Bayesian model selection criteria in disease mapping	5
Spatial modelling of Lexis mortality data	5
Bayesian disease mapping: Past, present, and future	5
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	5
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	5
Using spatial ordinal patterns for non-parametric testing of spatial dependence	5
Spatial kriging for replicated temporal point processes	5
Source reconstruction for spatio-temporal physical statistical models	5
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	5
A J-test for spatial autoregressive binary models	5
Spatial classification in the presence of measurement error	5