Spatial Statistics

Article	Citations
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	60
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	58
A flexible class of priors for orthonormal matrices with basis function-specific structure	49
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	41
A more accurate estimation with kernel machine for nonparametric spatial lag models	32
Bayesian geographically weighted regression using Fused Lasso prior	26
Spatial linear discriminant analysis approaches for remote-sensing classification	23
Modeling spatial correlation that grows on trees, with a stream network application	20
Correlation-based hierarchical clustering of time series with spatial constraints	20
Tests for isotropy in spatial point patterns – A comparison of statistical indices	19
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	19
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	19
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	16
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	16
Derivative-based spatial mediation with INLA-SPDE	16
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers	15
Using neural networks to estimate parameters in spatial point process models	15
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	15
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	14
Editorial: The impact of spatial statistics	14
Information criteria for matrix exponential spatial specifications	13
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	13
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants	12
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	12
Robust interaction detector: A case of road life expectancy analysis	12

Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	12
The root-Gaussian Cox process and a generalized EMS algorithm	11
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	10
A log-additive neural model for spatio-temporal prediction of groundwater levels	10
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	10
Nonparametric isotropy test for spatial point processes using random rotations	9
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	9
An interaction Neyman–Scott point process model for coronavirus disease-19	9
Dynamic ICAR Spatiotemporal Factor Models	9
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	9
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	8
A generalized additive model (GAM) approach to principal component analysis of geographic data	8
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	8
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	8
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	8
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	8
Hierarchical Bayesian nearest neighbor co-kriging Gaussian process models; an application to intersatellite calibration	8
Regime-based precipitation modeling: A spatio-temporal approach	8
A perceptron for detecting the preferential sampling of locations and times chosen to monitor a spatio-temporal process	8
Flexible spatio-temporal Hawkes process models for earthquake occurrences	8
A Poisson cokriging method for bivariate count data	7
Spatial Bayesian neural networks	7
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	7
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	7
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	7
Spatio-temporal small area surveillance of the COVID-19 pandemic	7
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	7
Variograms for kriging and clustering of spatial functional data with phase variation	7
A criterion and incremental design construction for simultaneous kriging predictions	7
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	7
Copula-based multiple indicator kriging for non-Gaussian random fields	7
Parametric and nonparametric conditional quantile regression modeling for dependent spatial functional data	7
A new class of α-transformations for the spatial analysis of Compo	7
On the importance of thinking locally for statistics and society	7
A spatio-temporal model for temporal evolution of spatial extremal dependence	7
Editorial: Spatio-temporal dynamics of Covid	6
Probabilistic Context Neighborhood model for lattices	6
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	6
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	6
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	6
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	6
A parametric specification test for linear spatial autoregressive models	6
Mesoscopic laddering in consumer behaviour: Analysing the modalities of consumption on a micro-individual scale in the Meeting, Incentive, Conference, Exhibitions (MICE) sector	6
Clustered factor analysis for multivariate spatial data	6
Flexible modeling of multivariate spatial extremes	6
A multivariate spatial and spatiotemporal ARCH Model	6
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	5
A comparison of model validation approaches for echo state networks using climate model replicates	5
Source reconstruction for spatio-temporal physical statistical models	5
A spatio-temporal model for detecting the effect of cocaine use disorder on functional connectivity	5

Which parameterization of the Matérn covariance function?	5
The (in)stability of Bayesian model selection criteria in disease mapping	5
Spatial modelling of Lexis mortality data	5
Bayesian disease mapping: Past, present, and future	5
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	5
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	5
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	5
Using spatial ordinal patterns for non-parametric testing of spatial dependence	5
Spatial kriging for replicated temporal point processes	5
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	5
A J-test for spatial autoregressive binary models	5
Spatial classification in the presence of measurement error	5
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	5
Measurement error-filtered machine learning in digital soil mapping	5
Covariate-dependent spatio-temporal covariance models	5
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	4
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	4
Spatiotemporal sampling with spatial spreading and rotation of units in time	4
A class of spatially correlated self-exciting statistical models	4
Spatially varying coefficient models using reduced-rank thin-plate splines	4
A Bayesian nonparametric spatial model with covariate-dependent joint weights	4
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	4
Profile likelihoods for parameters in trans-Gaussian geostatistical models	4
Community mobility in the European regions during COVID-19 pandemic: A partitioning around medoids with noise cluster based on space–time autoregressive models	4
A linear mixed model formulation for spatio-temporal random processes with computational advances for the product, sum, and product–sum covariance functions	4
Assessment of Spatio-temporal Climatological trends of ozone over the Indian region using Machine Learning	4
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	4
Fuzzy membership function for weighting pairs in variographical analysis	4
Uncovering hidden alignments in two-dimensional point fields	4
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data	4
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	4
Spatial aggregation with respect to a population distribution: Impact on inference	4
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	4
Copula-Based Data-Driven Multiple-Point Simulation Method	3
Spatially penalized registration of multivariate functional data	3
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	3
The circular Matérn covariance function and its link to Markov random fields on the circle	3
A nonparametric penalized likelihood approach to density estimation of space–time point patterns	3
Effective sample size for georeferenced and temporally evolving data	3
A Markov chain model for geographical accessibility	3
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	3
Modeling accident risk at the road level through zero-inflated negative binomial models: A case study of multiple road networks	3
The spatial–temporal variation of poverty determinants	3
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves	3
Sampling strategies for proportion and rate estimation in a spatially correlated population	3
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	3
Addressing uncertainty in census estimates	3
A unified geographically weighted regression model	3
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
Detecting spatial clusters in functional data: New scan statistic approaches	3
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	3
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	3
Fuzzy clustering of mixed data with spatial regularization	3
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	3
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	3
Modelling Nonstationary Spatial Lag Models with Hidden Markov Random Fields	3
Fundamental problems in fitting spatial cluster process models	3
An object-oriented approach to the analysis of spatial complex data over stream-network domains	3
Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response	3
Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm	3
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	3
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	3
Facing spatial massive data in science and society: Variable selection for spatial models	3
Spatially dependent mixture models via the logistic multivariate CAR prior	2
Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model	2
Geostatistical capture–recapture models	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
A flexible likelihood-based neural network extension of the classic spatio-temporal model	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	2
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting	2
Recovering individual-level spatial inference from aggregated binary data	2
Fully nonseparable Gneiting covariance functions for multivariate space–time data	2
Modeling spatio-temporal complex covariance functions for vectorial data	2
Variable selection of nonparametric spatial autoregressive models via deep learning	2
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	2
TheF-family of covariance functions: A Matérn	2
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models	2
Change detection from high-resolution airborne laser scans using penalized composite likelihood screening	2
A hypothesis test for detecting distance-specific clustering and dispersion in areal data	2

Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	2
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
Graph convolutional networks for spatial interpolation of correlated data	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
Spatial modeling for the distribution of species in plant communities	2
Using echo state networks to inform physical models for fire front propagation	2
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	2
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models	2