Spatial Statistics

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 2021-12-01 to 2025-12-01.)
ArticleCitations
A flexible class of priors for orthonormal matrices with basis function-specific structure70
Bayesian geographically weighted regression using Fused Lasso prior70
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia66
A more accurate estimation with kernel machine for nonparametric spatial lag models57
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting42
Spatial linear discriminant analysis approaches for remote-sensing classification30
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data30
Derivative-based spatial mediation with INLA-SPDE27
Transfer learning for high dimensional spatial autoregressive model24
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss24
Dynamic spatial regimes for spatial panel data24
Measuring unit relevance and stability in hierarchical spatio-temporal clustering23
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains22
Estimating the growth rate of infection during the early phase of a pandemic like COVID-1922
Tests for isotropy in spatial point patterns – A comparison of statistical indices21
Using neural networks to estimate parameters in spatial point process models21
Correlation-based hierarchical clustering of time series with spatial constraints20
A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants19
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment18
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation17
Attribute based spatial segmentation for optimising POI placement17
Editorial: The impact of spatial statistics16
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data16
A spatial autoregressive graphical model15
Estimating spatial regression models with sample data-points: A Gibbs sampler solution15
Robust interaction detector: A case of road life expectancy analysis15
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy15
Nonparametric isotropy test for spatial point processes using random rotations14
Dynamic ICAR Spatiotemporal Factor Models14
Information criteria for matrix exponential spatial specifications14
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices14
An interaction Neyman–Scott point process model for coronavirus disease-1912
Spatial survival models based on Weibull random fields12
A marked sequential point process for disease surveillance: Modeling and optimization12
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana12
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index12
A log-additive neural model for spatio-temporal prediction of groundwater levels12
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–202211
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity11
Regime-based precipitation modeling: A spatio-temporal approach10
A generalized additive model (GAM) approach to principal component analysis of geographic data10
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis10
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data10
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation10
Flexible spatio-temporal Hawkes process models for earthquake occurrences10
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo10
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models10
A criterion and incremental design construction for simultaneous kriging predictions9
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes9
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”9
Variograms for kriging and clustering of spatial functional data with phase variation9
A Poisson cokriging method for bivariate count data9
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models9
Spatial Bayesian neural networks9
Spatial robust fuzzy clustering of mixed data with electoral study9
Mapping the short-term exposure–response relationships between environmental factors and health outcomes and identifying the causes of heterogeneity: A multivariate-conditional-meta-autoregression-bas9
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling9
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach9
Spatio-temporal small area surveillance of the COVID-19 pandemic8
Spatial and spatio-temporal cluster detection using stacking8
On the importance of thinking locally for statistics and society8
Spatially varying anisotropy for Gaussian random fields in three-dimensional space8
A spatio-temporal model for temporal evolution of spatial extremal dependence8
A new class of α 8
A multivariate spatial and spatiotemporal ARCH Model8
A parametric specification test for linear spatial autoregressive models8
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications8
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution8
Editorial: Spatio-temporal dynamics of Covid8
Probabilistic Context Neighborhood model for lattices8
Flexible modeling of multivariate spatial extremes7
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data7
Covariate-dependent spatio-temporal covariance models7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor7
Which parameterization of the Matérn covariance function?7
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey7
Clustered factor analysis for multivariate spatial data7
Using spatial ordinal patterns for non-parametric testing of spatial dependence7
Measurement error-filtered machine learning in digital soil mapping7
A J-test for spatial autoregressive binary models6
Spatial classification in the presence of measurement error6
Source reconstruction for spatio-temporal physical statistical models6
Nonparametric approaches for direct approximation of the spatial quantiles6
A comparison of model validation approaches for echo state networks using climate model replicates6
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach6
Spatial kriging for replicated temporal point processes6
Estimation and testing of time-varying coefficients spatial autoregressive panel data model6
Similarity and geographically weighted regression considering spatial scales of features space6
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials6
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro6
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England6
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