OOIR: Observatory of International Research

Papers

(The TQCC of Spatial Statistics is 6. 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.)

Article	Citations
Bayesian geographically weighted regression using Fused Lasso prior	67
A flexible class of priors for orthonormal matrices with basis function-specific structure	67
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	65
A more accurate estimation with kernel machine for nonparametric spatial lag models	57
Spatial linear discriminant analysis approaches for remote-sensing classification	41
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	28
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	27
Derivative-based spatial mediation with INLA-SPDE	25
Transfer learning for high dimensional spatial autoregressive model	24
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	24
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	23
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	22
Dynamic spatial regimes for spatial panel data	22
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	21
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	21
Tests for isotropy in spatial point patterns – A comparison of statistical indices	20
Using neural networks to estimate parameters in spatial point process models	18
Attribute based spatial segmentation for optimising POI placement	17
Correlation-based hierarchical clustering of time series with spatial constraints	17
A spatial autoregressive graphical model	16
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	16
Information criteria for matrix exponential spatial specifications	16
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	15
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	15
Nonparametric isotropy test for spatial point processes using random rotations	14

Editorial: The impact of spatial statistics	14
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	14
Robust interaction detector: A case of road life expectancy analysis	14
A marked sequential point process for disease surveillance: Modeling and optimization	13
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	13
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	12
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	12
An interaction Neyman–Scott point process model for coronavirus disease-19	12
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	12
Dynamic ICAR Spatiotemporal Factor Models	12
A log-additive neural model for spatio-temporal prediction of groundwater levels	11
Regime-based precipitation modeling: A spatio-temporal approach	11
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	11
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	10
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	10
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	10
A generalized additive model (GAM) approach to principal component analysis of geographic data	10
Flexible spatio-temporal Hawkes process models for earthquake occurrences	10
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	10
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	10
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	9
Spatial robust fuzzy clustering of mixed data with electoral study	9
Variograms for kriging and clustering of spatial functional data with phase variation	9
A Poisson cokriging method for bivariate count data	9
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	9
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	9
On the importance of thinking locally for statistics and society	9
A spatio-temporal model for temporal evolution of spatial extremal dependence	9
Spatial Bayesian neural networks	9
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	8
A criterion and incremental design construction for simultaneous kriging predictions	8
A multivariate spatial and spatiotemporal ARCH Model	8
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	8
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	8
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	8
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	8
Spatio-temporal small area surveillance of the COVID-19 pandemic	8
Probabilistic Context Neighborhood model for lattices	8
A new class of α	8
Clustered factor analysis for multivariate spatial data	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	7
Covariate-dependent spatio-temporal covariance models	7
Measurement error-filtered machine learning in digital soil mapping	7
Editorial: Spatio-temporal dynamics of Covid	7
Using spatial ordinal patterns for non-parametric testing of spatial dependence	7
Flexible modeling of multivariate spatial extremes	7
Which parameterization of the Matérn covariance function?	7
A parametric specification test for linear spatial autoregressive models	7
Spatial kriging for replicated temporal point processes	6

A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	6
Similarity and geographically weighted regression considering spatial scales of features space	6
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	6
Nonparametric approaches for direct approximation of the spatial quantiles	6
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	6
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	6
Source reconstruction for spatio-temporal physical statistical models	6
A J-test for spatial autoregressive binary models	6
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	6