OOIR: Observatory of International Research

Papers

(The TQCC of Spatial Statistics is 7. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Bayesian geographically weighted regression using Fused Lasso prior	71
A flexible class of priors for orthonormal matrices with basis function-specific structure	70
A more accurate estimation with kernel machine for nonparametric spatial lag models	67
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	42
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	32
Spatial linear discriminant analysis approaches for remote-sensing classification	30
Transfer learning for high dimensional spatial autoregressive model	27
Derivative-based spatial mediation with INLA-SPDE	27
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	26
Tests for isotropy in spatial point patterns – A comparison of statistical indices	24
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	24
Using neural networks to estimate parameters in spatial point process models	23
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	22
Correlation-based hierarchical clustering of time series with spatial constraints	21
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	21
Dynamic spatial regimes for spatial panel data	21
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	19
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	19
Editorial: The impact of spatial statistics	18
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	17
Information criteria for matrix exponential spatial specifications	17
Robust interaction detector: A case of road life expectancy analysis	17
A spatial autoregressive graphical model	17
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	16

Attribute based spatial segmentation for optimising POI placement	15
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	15
Nonparametric isotropy test for spatial point processes using random rotations	15
Dynamic ICAR Spatiotemporal Factor Models	14
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	14
Spatial survival models based on Weibull random fields	14
An interaction Neyman–Scott point process model for coronavirus disease-19	12
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	12
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	12
A marked sequential point process for disease surveillance: Modeling and optimization	12
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	12
A log-additive neural model for spatio-temporal prediction of groundwater levels	12
A generalized additive model (GAM) approach to principal component analysis of geographic data	11
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	11
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	11
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	11
Regime-based precipitation modeling: A spatio-temporal approach	10
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	10
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	10
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis	10
Flexible spatio-temporal Hawkes process models for earthquake occurrences	10
Variograms for kriging and clustering of spatial functional data with phase variation	10
Spatial robust fuzzy clustering of mixed data with electoral study	10
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	10
Spatial Bayesian neural networks	10
A criterion and incremental design construction for simultaneous kriging predictions	10
A Poisson cokriging method for bivariate count data	9
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	9
Spatial and spatio-temporal cluster detection using stacking	9
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	9
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	9
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	9
A new class of α	9
Spatio-temporal small area surveillance of the COVID-19 pandemic	8
On the importance of thinking locally for statistics and society	8
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	8
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	8
Probabilistic Context Neighborhood model for lattices	8
A spatio-temporal model for temporal evolution of spatial extremal dependence	8
A multivariate spatial and spatiotemporal ARCH Model	8
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	8
Using spatial ordinal patterns for non-parametric testing of spatial dependence	8
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	8
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	8
Editorial: Spatio-temporal dynamics of Covid	8
A parametric specification test for linear spatial autoregressive models	8
Flexible modeling of multivariate spatial extremes	8
Spatial kriging for replicated temporal point processes	7
Which parameterization of the Matérn covariance function?	7
Source reconstruction for spatio-temporal physical statistical models	7

Nonparametric approaches for direct approximation of the spatial quantiles	7
Clustered factor analysis for multivariate spatial data	7
Covariate-dependent spatio-temporal covariance models	7
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	7
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	7
Measurement error-filtered machine learning in digital soil mapping	7
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	7
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	7