Spatial Statistics

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
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	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
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
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	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
A spatial autoregressive graphical model	17
Robust interaction detector: A case of road life expectancy analysis	17
Information criteria for matrix exponential spatial specifications	17

Editorial: The impact of spatial statistics	17
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	16
Attribute based spatial segmentation for optimising POI placement	16
Nonparametric isotropy test for spatial point processes using random rotations	16
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	15
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	15
Dynamic ICAR Spatiotemporal Factor Models	15
A log-additive neural model for spatio-temporal prediction of groundwater levels	14
A marked sequential point process for disease surveillance: Modeling and optimization	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
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
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
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
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
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
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
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
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
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
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
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
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
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
Composite method for fast computation of individual level spatial epidemic models	6
Variational autoencoded multivariate spatial Fay–Herriot models	6
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	6
Spatial classification in the presence of measurement error	6
Growth of spatial statistics for agriculture and environment: The example of BioSP at INRAE	6
Uncovering hidden alignments in two-dimensional point fields	6
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	6
Bayesian disease mapping: Past, present, and future	6
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	6
Profile likelihoods for parameters in trans-Gaussian geostatistical models	6
Sampling design for binary geostatistical data, application to inspection actions of fishing activity in Portugal	6
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	6
Similarity and geographically weighted regression considering spatial scales of features space	6
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	6
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	6
Community mobility in the European regions during COVID-19 pandemic: A partitioning around medoids with noise cluster based on space–time autoregressive models	5
Regime changes and spatial dependence in the 2020 US presidential election polls	5
A low-rank Bayesian approach for geoadditive modeling	5
Transfer learning for spatial autoregressive models with missing responses	5
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	5
Spatial aggregation with respect to a population distribution: Impact on inference	5
Fuzzy membership function for weighting pairs in variographical analysis	5
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	5
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	5
Spatially varying coefficient models using reduced-rank thin-plate splines	5
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data	5
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	5
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	5
A Bayesian nonparametric spatial model with covariate-dependent joint weights	5
Copula-Based Data-Driven Multiple-Point Simulation Method	4
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	4
The spatial–temporal variation of poverty determinants	4
Fuzzy clustering of mixed data with spatial regularization	4
Facing spatial massive data in science and society: Variable selection for spatial models	4
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	4
Random elastic space–time (REST) prediction	4
Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm	4
Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence	4
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	4
Characteristics of some isotropic covariance models with negative values	4
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves	4
A concordance coefficient for lattice data: An application to poverty indices in Chile	4
Spatially penalized registration of multivariate functional data	4
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	4
Joint model for zero-inflated data combining fishery-dependent and fishery-independent sources	4
The circular Matérn covariance function and its link to Markov random fields on the circle	3
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	3
A Markov chain model for geographical accessibility	3
Geostatistical capture–recapture models	3
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	3
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	3
Fundamental problems in fitting spatial cluster process models	3
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	3
Effective sample size for georeferenced and temporally evolving data	3
Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response	3
Conformal novelty detection for replicate point patterns with FDR or FWER control	3
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models	3
Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model	3
An object-oriented approach to the analysis of spatial complex data over stream-network domains	3
A nonparametric penalized likelihood approach to density estimation of space–time point patterns	3
A unified geographically weighted regression model	3
A delayed acceptance auxiliary variable MCMC for spatial models with intractable likelihood function	3
Determinants of vote transitions by ecological inference within small areas	3
A hypothesis test for detecting distance-specific clustering and dispersion in areal data	3
Variable selection of nonparametric spatial autoregressive models via deep learning	3
Estimating and plotting species-area relationship: Does aggregate distribution of species really matter?	3
Change detection from high-resolution airborne laser scans using penalized composite likelihood screening	3
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	2

Robust second-order stationary spatial blind source separation using generalized sign matrices	2
Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections	2
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	2
Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata	2
Fuzzy clustering of spatial interval-valued data	2
A term structure geostatistical model with correlated residuals: A comparative analysis	2
Probabilistic spatiotemporal modeling of day-ahead wind power generation with input-warped Gaussian processes	2
Using echo state networks to inform physical models for fire front propagation	2
On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes	2
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting	2
Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion	2
Fully nonseparable Gneiting covariance functions for multivariate space–time data	2
Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models	2
A kernel-enriched order-dependent nonparametric spatio-temporal process	2
Graph convolutional networks for spatial interpolation of correlated data	2
Urban/rural differences in air pollution impacts on deaths in Scotland: A comparison study on different pollution data sources	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
The SPDE approach for spatio-temporal datasets with advection and diffusion	2
Spatial modeling for the distribution of species in plant communities	2
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models	2
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
A hypothesis test for detecting spatial patterns in categorical areal data	2
The impact of spatial statistics in Africa	2
Impacts of spatial imputation on location-allocation problem solutions	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	2
Higher-dimensional spatial extremes via single-site conditioning	2
A two-step sampling strategy to improve the prediction accuracy of contamination hotspots and identify hotspot boundaries	2
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	2
Regularization of the Ensemble Kalman Filter using a non-parametric, non-stationary spatial model	2
A flexible likelihood-based neural network extension of the classic spatio-temporal model	2
Dimension reduction for spatial regression: Spatial predictor envelope	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
Deep learning and spatial statistics	2
Adaptive local maxima windows for tree detection: A point process perspective	2
Softening the criteria for determining inner and outer predicted exceedance sets	2