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 2022-08-01 to 2026-08-01.)

Article	Citations
A more accurate estimation with kernel machine for nonparametric spatial lag models	96
Explicit modeling of density dependence in spatial capture-recapture models	91
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	71
Functional random field data analysis using nonparametric	57
Bayesian geographically weighted regression using Fused Lasso prior	51
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	42
Spatial linear discriminant analysis approaches for remote-sensing classification	38
Transforming point forecasts into probabilistic wind power scenarios using a hierarchical Bayesian model	33
A Bayesian INLA-SPDE approach to spatio-temporal point-grid fusion with change-of-support and misaligned covariates	30
An improved statistical framework for the HeTerogeneity Average (HTA) Index	28
A flexible class of priors for orthonormal matrices with basis function-specific structure	27
Derivative-based spatial mediation with INLA-SPDE	26
Geographically weighted Poisson–Tweedie model for count data	25
Voronoi linkage between mismatching voting stations and census tracts in analyzing the 2018 Brazilian presidential election data	25
Using neural networks to estimate parameters in spatial point process models	24
Dynamic spatial regimes for spatial panel data	21
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	21
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	20
Tests for isotropy in spatial point patterns – A comparison of statistical indices	20
A random quantile approach for prior covariance estimation in Bayesian Maximum Entropy	19
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	19
Correlation-based hierarchical clustering of time series with spatial constraints	19
A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants	17
Transfer learning for high dimensional spatial autoregressive model	16
Attribute based spatial segmentation for optimising POI placement	16

Spatiotemporal modeling of COVID-19 cases using human movement and activity index	15
Editorial: The impact of spatial statistics	15
A spatial autoregressive graphical model	15
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	15
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	14
Information criteria for matrix exponential spatial specifications	14
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	13
Testing independence of stationary spatial point processes in irregular polygonal domains	13
Robust interaction detector: A case of road life expectancy analysis	13
Cluster detection for ordinal categorical areal data	13
Directional spatial individual level models of infectious disease transmission	12
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	12
Nonparametric isotropy test for spatial point processes using random rotations	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 marked sequential point process for disease surveillance: Modeling and optimization	11
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	11
Spatial survival models based on Weibull random fields	11
A log-additive neural model for spatio-temporal prediction of groundwater levels	11
Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data	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
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	10
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	10
Flexible spatio-temporal Hawkes process models for earthquake occurrences	10
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	10
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	9
A generalized additive model (GAM) approach to principal component analysis of geographic data	9
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	9
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	9
Variograms for kriging and clustering of spatial functional data with phase variation	9
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis	9
Regime-based precipitation modeling: A spatio-temporal approach	9
Spatial Bayesian neural networks	9
Estimation and selection in survival models for individuals with spatial frailty	9
A criterion and incremental design construction for simultaneous kriging predictions	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
A Poisson cokriging method for bivariate count data	8
Spatial and spatio-temporal cluster detection using stacking	8
Spatial robust fuzzy clustering of mixed data with electoral study	8
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	8
Modelling of spatially misaligned wastewater-based surveillance data	7
Probabilistic Context Neighborhood model for lattices	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Misspecification issues between competitive spatio-temporal cluster point processes	7
Using spatial ordinal patterns for non-parametric testing of spatial dependence	7
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	7
On the importance of thinking locally for statistics and society	7
A parametric specification test for linear spatial autoregressive models	7
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	7

Multivariate low-rank state–space model with SPDE approach for high-dimensional data	7
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	7
A spatio-temporal model for temporal evolution of spatial extremal dependence	7
A multivariate spatial and spatiotemporal ARCH Model	7
Clustered factor analysis for multivariate spatial data	7
Reframing coverage estimation under line-strip sampling in the Monte Carlo integration framework	7
Deep kernel learning for geostatistics: Learning spatial deformation with normalizing flows	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
Flexible modeling of multivariate spatial extremes	6
Robust variable selection for spatial point processes observed with noise	6
Covariate-dependent spatio-temporal covariance models	6
Prediction of spatio-temporal data on meshed surfaces using advection–diffusion SPDEs	6
Which parameterization of the Matérn covariance function?	6
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	6
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	6