Spatial Statistics

Article	Citations
A flexible class of priors for orthonormal matrices with basis function-specific structure	64
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	64
Bayesian geographically weighted regression using Fused Lasso prior	54
Spatial linear discriminant analysis approaches for remote-sensing classification	54
A more accurate estimation with kernel machine for nonparametric spatial lag models	39
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	28
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	25
Correlation-based hierarchical clustering of time series with spatial constraints	24
Tests for isotropy in spatial point patterns – A comparison of statistical indices	24
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	21
Derivative-based spatial mediation with INLA-SPDE	21
Using neural networks to estimate parameters in spatial point process models	20
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	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	18
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
Editorial: The impact of spatial statistics	16
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	16
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	15
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	14
Attribute based spatial segmentation for optimising POI placement	13
A spatial autoregressive graphical model	13
Robust interaction detector: A case of road life expectancy analysis	13

A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	13
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants	12
Information criteria for matrix exponential spatial specifications	12
Nonparametric isotropy test for spatial point processes using random rotations	11
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
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
Dynamic ICAR Spatiotemporal Factor Models	11
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	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
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	10
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	9
Regime-based precipitation modeling: A spatio-temporal approach	9
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	9
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	9
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	9
Flexible spatio-temporal Hawkes process models for earthquake occurrences	8
Spatial Bayesian neural networks	8
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	8
A new class of α-transformations for the spatial analysis of Compo	8
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	8
Variograms for kriging and clustering of spatial functional data with phase variation	8
A criterion and incremental design construction for simultaneous kriging predictions	8
A generalized additive model (GAM) approach to principal component analysis of geographic data	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
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
Spatio-temporal small area surveillance of the COVID-19 pandemic	7
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Flexible modeling of multivariate spatial extremes	7
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	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
Editorial: Spatio-temporal dynamics of Covid	7
A multivariate spatial and spatiotemporal ARCH Model	7
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	7
A Poisson cokriging method for bivariate count data	7
On the importance of thinking locally for statistics and society	7
Probabilistic Context Neighborhood model for lattices	7
Which parameterization of the Matérn covariance function?	7
A parametric specification test for linear spatial autoregressive models	7
Measurement error-filtered machine learning in digital soil mapping	6
Covariate-dependent spatio-temporal covariance models	6
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	6
Using spatial ordinal patterns for non-parametric testing of spatial dependence	6
Source reconstruction for spatio-temporal physical statistical models	6
Clustered factor analysis for multivariate spatial data	6

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

Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
Geostatistical capture–recapture models	2
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models	2
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	2
Softening the criteria for determining inner and outer predicted exceedance sets	2
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	2
Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections	2
Graph convolutional networks for spatial interpolation of correlated data	2
Spatial modeling for the distribution of species in plant communities	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
Variable selection of nonparametric spatial autoregressive models via deep learning	2
Modeling spatio-temporal complex covariance functions for vectorial data	2
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	2
A term structure geostatistical model with correlated residuals: A comparative analysis	2
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	2
Higher-dimensional spatial extremes via single-site conditioning	2
Robust second-order stationary spatial blind source separation using generalized sign matrices	2