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 2022-05-01 to 2026-05-01.)

Article	Citations
A flexible class of priors for orthonormal matrices with basis function-specific structure	85
A more accurate estimation with kernel machine for nonparametric spatial lag models	82
Explicit modeling of density dependence in spatial capture-recapture models	64
Bayesian geographically weighted regression using Fused Lasso prior	45
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	45
Spatial linear discriminant analysis approaches for remote-sensing classification	38
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	33
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	29
Derivative-based spatial mediation with INLA-SPDE	27
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	26
Tests for isotropy in spatial point patterns – A comparison of statistical indices	26
Dynamic spatial regimes for spatial panel data	25
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	24
Voronoi linkage between mismatching voting stations and census tracts in analyzing the 2018 Brazilian presidential election data	24
Transfer learning for high dimensional spatial autoregressive model	23
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	22
Correlation-based hierarchical clustering of time series with spatial constraints	22
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	22
A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants	21
Using neural networks to estimate parameters in spatial point process models	20
Geographically weighted Poisson–Tweedie model for count data	19
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	18
Information criteria for matrix exponential spatial specifications	17
Editorial: The impact of spatial statistics	17
A spatial autoregressive graphical model	17

Robust interaction detector: A case of road life expectancy analysis	17
Attribute based spatial segmentation for optimising POI placement	16
Nonparametric isotropy test for spatial point processes using random rotations	16
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	16
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	15
Dynamic ICAR Spatiotemporal Factor Models	15
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	15
A log-additive neural model for spatio-temporal prediction of groundwater levels	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	13
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	13
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	13
A marked sequential point process for disease surveillance: Modeling and optimization	13
Spatial survival models based on Weibull random fields	13
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	12
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	12
Regime-based precipitation modeling: A spatio-temporal approach	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	12
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	11
Flexible spatio-temporal Hawkes process models for earthquake occurrences	11
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	11
Spatial Bayesian neural networks	11
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	11
Variograms for kriging and clustering of spatial functional data with phase variation	11
A Poisson cokriging method for bivariate count data	11
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	11
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis	11
Spatial robust fuzzy clustering of mixed data with electoral study	11
A criterion and incremental design construction for simultaneous kriging predictions	10
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	10
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	10
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	10
On the importance of thinking locally for statistics and society	10
Spatial and spatio-temporal cluster detection using stacking	10
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	9
Spatio-temporal small area surveillance of the COVID-19 pandemic	9
Probabilistic Context Neighborhood model for lattices	9
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	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 spatio-temporal model for temporal evolution of spatial extremal dependence	9
A multivariate spatial and spatiotemporal ARCH Model	8
Clustered factor analysis for multivariate spatial data	8
Flexible modeling of multivariate spatial extremes	8
A parametric specification test for linear spatial autoregressive models	8
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	8
Editorial: Spatio-temporal dynamics of Covid	8
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	7
Reframing coverage estimation under line-strip sampling in the Monte Carlo integration framework	7
Covariate-dependent spatio-temporal covariance models	7
Nonparametric approaches for direct approximation of the spatial quantiles	7

A comparison of model validation approaches for echo state networks using climate model replicates	7
Using spatial ordinal patterns for non-parametric testing of spatial dependence	7
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	7
Source reconstruction for spatio-temporal physical statistical models	7
A J-test for spatial autoregressive binary models	7
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	7
Misspecification issues between competitive spatio-temporal cluster point processes	7
Which parameterization of the Matérn covariance function?	7
Spatial kriging for replicated temporal point processes	7
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	7
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	7