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 2022-06-01 to 2026-06-01.)

Article	Citations
A flexible class of priors for orthonormal matrices with basis function-specific structure	89
A more accurate estimation with kernel machine for nonparametric spatial lag models	86
Explicit modeling of density dependence in spatial capture-recapture models	66
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	48
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	45
Bayesian geographically weighted regression using Fused Lasso prior	38
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	35
Spatial linear discriminant analysis approaches for remote-sensing classification	30
Functional random field data analysis using nonparametric	28
A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants	27
A random quantile approach for prior covariance estimation in Bayesian Maximum Entropy	26
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	25
Transfer learning for high dimensional spatial autoregressive model	25
Geographically weighted Poisson–Tweedie model for count data	24
Using neural networks to estimate parameters in spatial point process models	23
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	23
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	22
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	22
Dynamic spatial regimes for spatial panel data	22
Correlation-based hierarchical clustering of time series with spatial constraints	20
Tests for isotropy in spatial point patterns – A comparison of statistical indices	19
Derivative-based spatial mediation with INLA-SPDE	19
Voronoi linkage between mismatching voting stations and census tracts in analyzing the 2018 Brazilian presidential election data	19
Information criteria for matrix exponential spatial specifications	18
Editorial: The impact of spatial statistics	18

Attribute based spatial segmentation for optimising POI placement	17
Spatiotemporal modeling of COVID-19 cases using human movement and activity index	17
A spatial autoregressive graphical model	17
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	17
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	16
Robust interaction detector: A case of road life expectancy analysis	16
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	15
A marked sequential point process for disease surveillance: Modeling and optimization	14
A log-additive neural model for spatio-temporal prediction of groundwater levels	14
Dynamic ICAR Spatiotemporal Factor Models	14
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	14
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	13
Spatial survival models based on Weibull random fields	13
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	13
Directional spatial individual level models of infectious disease transmission	13
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	12
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	12
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	12
Nonparametric isotropy test for spatial point processes using random rotations	12
A generalized additive model (GAM) approach to principal component analysis of geographic data	12
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	11
Flexible spatio-temporal Hawkes process models for earthquake occurrences	11
Variograms for kriging and clustering of spatial functional data with phase variation	11
A Poisson cokriging method for bivariate count data	11
Regime-based precipitation modeling: A spatio-temporal approach	11
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis	11
Spatial Bayesian neural networks	11
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	11
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	11
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	11
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	11
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	10
A criterion and incremental design construction for simultaneous kriging predictions	10
Spatial robust fuzzy clustering of mixed data with electoral study	10
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	9
On the importance of thinking locally for statistics and society	9
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	9
A spatio-temporal model for temporal evolution of spatial extremal dependence	9
Probabilistic Context Neighborhood model for lattices	9
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	9
Spatio-temporal small area surveillance of the COVID-19 pandemic	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
Spatial and spatio-temporal cluster detection using stacking	9
Clustered factor analysis for multivariate spatial data	8
Using spatial ordinal patterns for non-parametric testing of spatial dependence	8
Flexible modeling of multivariate spatial extremes	8
Misspecification issues between competitive spatio-temporal cluster point processes	8
Multivariate low-rank state–space model with SPDE approach for high-dimensional data	8
Editorial: Spatio-temporal dynamics of Covid	8
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	8

Which parameterization of the Matérn covariance function?	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Source reconstruction for spatio-temporal physical statistical models	7
Nonparametric approaches for direct approximation of the spatial quantiles	7
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	7
Spatial kriging for replicated temporal point processes	7
A parametric specification test for linear spatial autoregressive models	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
Inference for stationary Log-Gaussian Cox point processes using Bayesian deep learning: Application to human oral microbiome image data	7
A multivariate spatial and spatiotemporal ARCH Model	7
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	7
Bayesian strategies for repulsive spatial point processes	7
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	7
Bayesian disease mapping: Past, present, and future	7
Reframing coverage estimation under line-strip sampling in the Monte Carlo integration framework	7