Spatial Statistics

Article	Citations
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	64
A flexible class of priors for orthonormal matrices with basis function-specific structure	62
Bayesian geographically weighted regression using Fused Lasso prior	52
Spatial linear discriminant analysis approaches for remote-sensing classification	51
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	36
A more accurate estimation with kernel machine for nonparametric spatial lag models	28
Tests for isotropy in spatial point patterns – A comparison of statistical indices	24
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	24
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	23
Derivative-based spatial mediation with INLA-SPDE	20
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	20
Correlation-based hierarchical clustering of time series with spatial constraints	20
Transfer learning for high dimensional spatial autoregressive model	20
Modeling spatial correlation that grows on trees, with a stream network application	19
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	19
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	17
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	17
Using neural networks to estimate parameters in spatial point process models	17
Editorial: The impact of spatial statistics	16
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	16
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	14
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	14
A spatial autoregressive graphical model	13
Robust interaction detector: A case of road life expectancy analysis	13
Attribute based spatial segmentation for optimising POI placement	13

A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	13
Information criteria for matrix exponential spatial specifications	13
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants	12
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	11
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	11
Nonparametric isotropy test for spatial point processes using random rotations	11
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	11
An interaction Neyman–Scott point process model for coronavirus disease-19	11
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	11
A log-additive neural model for spatio-temporal prediction of groundwater levels	10
A marked sequential point process for disease surveillance: Modeling and optimization	10
A generalized additive model (GAM) approach to principal component analysis of geographic data	10
Dynamic ICAR Spatiotemporal Factor 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	9
Regime-based precipitation modeling: A spatio-temporal approach	9
Flexible spatio-temporal Hawkes process models for earthquake occurrences	8
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	8
A new class of α-transformations for the spatial analysis of Compo	8
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	8
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	8
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	8
Spatial Bayesian neural networks	8
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	8
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	8
Variograms for kriging and clustering of spatial functional data with phase variation	8
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	8
Hierarchical Bayesian nearest neighbor co-kriging Gaussian process models; an application to intersatellite calibration	8
On the importance of thinking locally for statistics and society	7
A Poisson cokriging method for bivariate count data	7
Spatiotemporal Dynamics of COVID-19 in Wuhan Based on Community Notifications	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Copula-based multiple indicator kriging for non-Gaussian random fields	7
A criterion and incremental design construction for simultaneous kriging predictions	7
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	7
Spatio-temporal small area surveillance of the COVID-19 pandemic	7
Editorial: Spatio-temporal dynamics of Covid	7
Mesoscopic laddering in consumer behaviour: Analysing the modalities of consumption on a micro-individual scale in the Meeting, Incentive, Conference, Exhibitions (MICE) sector	7
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	7
A spatio-temporal model for temporal evolution of spatial extremal dependence	7
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	7
Probabilistic Context Neighborhood model for lattices	7
Clustered factor analysis for multivariate spatial data	7
Which parameterization of the Matérn covariance function?	6
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	6
Using spatial ordinal patterns for non-parametric testing of spatial dependence	6
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	6
A multivariate spatial and spatiotemporal ARCH Model	6
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	6
Spatial kriging for replicated temporal point processes	6

A parametric specification test for linear spatial autoregressive models	6
Flexible modeling of multivariate spatial extremes	6
Covariate-dependent spatio-temporal covariance models	6
Measurement error-filtered machine learning in digital soil mapping	6
Spatiotemporal sampling with spatial spreading and rotation of units in time	5
Spatial modelling of Lexis mortality data	5
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	5
Similarity and geographically weighted regression considering spatial scales of features space	5
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	5
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	5
Source reconstruction for spatio-temporal physical statistical models	5
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	5
A spatio-temporal model for detecting the effect of cocaine use disorder on functional connectivity	5
Spatial classification in the presence of measurement error	5
Nonparametric approaches for direct approximation of the spatial quantiles	5
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	5
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	5
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	5
A comparison of model validation approaches for echo state networks using climate model replicates	5
A J-test for spatial autoregressive binary models	5
Bayesian disease mapping: Past, present, and future	5
Uncovering hidden alignments in two-dimensional point fields	4
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	4
Fuzzy clustering of mixed data with spatial regularization	4
Facing spatial massive data in science and society: Variable selection for spatial models	4
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	4
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data	4
Spatially varying coefficient models using reduced-rank thin-plate splines	4
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	4
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	4
Detecting spatial clusters in functional data: New scan statistic approaches	4
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	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
Fuzzy membership function for weighting pairs in variographical analysis	4
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	4
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	4
Copula-Based Data-Driven Multiple-Point Simulation Method	4
A low-rank Bayesian approach for geoadditive modeling	4
Spatial aggregation with respect to a population distribution: Impact on inference	4
A Bayesian nonparametric spatial model with covariate-dependent joint weights	4
Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm	3
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	3
Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence	3
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves	3
Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response	3
A unified geographically weighted regression model	3
A nonparametric penalized likelihood approach to density estimation of space–time point patterns	3
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	3
A Markov chain model for geographical accessibility	3
Spatially penalized registration of multivariate functional data	3
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	3
Sampling strategies for proportion and rate estimation in a spatially correlated population	3
Modelling Nonstationary Spatial Lag Models with Hidden Markov Random Fields	3
The circular Matérn covariance function and its link to Markov random fields on the circle	3
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	3
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	3
The spatial–temporal variation of poverty determinants	3
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	3
Characteristics of some isotropic covariance models with negative values	3
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	3
Random elastic space–time (REST) prediction	3
Effective sample size for georeferenced and temporally evolving data	3
Fundamental problems in fitting spatial cluster process models	3
Addressing uncertainty in census estimates	3
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	3
Modeling spatio-temporal complex covariance functions for vectorial data	2
Geostatistical capture–recapture models	2
Change detection from high-resolution airborne laser scans using penalized composite likelihood screening	2
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	2
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models	2
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
Using echo state networks to inform physical models for fire front propagation	2
Spatial modeling for the distribution of species in plant communities	2
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models	2
Spatially dependent mixture models via the logistic multivariate CAR prior	2
An object-oriented approach to the analysis of spatial complex data over stream-network domains	2
A hypothesis test for detecting distance-specific clustering and dispersion in areal data	2

Variable selection of nonparametric spatial autoregressive models via deep learning	2
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	2
Graph convolutional networks for spatial interpolation of correlated data	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model	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
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	2
A term structure geostatistical model with correlated residuals: A comparative analysis	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