Spatial Statistics

Article	Citations
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	67
Bayesian geographically weighted regression using Fused Lasso prior	64
A flexible class of priors for orthonormal matrices with basis function-specific structure	61
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	55
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	28
Spatial linear discriminant analysis approaches for remote-sensing classification	26
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	24
Derivative-based spatial mediation with INLA-SPDE	24
Tests for isotropy in spatial point patterns – A comparison of statistical indices	23
Correlation-based hierarchical clustering of time series with spatial constraints	22
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	22
Transfer learning for high dimensional spatial autoregressive model	21
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	20
Using neural networks to estimate parameters in spatial point process models	20
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	19
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	17
Modeling spatial correlation that grows on trees, with a stream network application	17
Attribute based spatial segmentation for optimising POI placement	16
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	16
Editorial: The impact of spatial statistics	16
Information criteria for matrix exponential spatial specifications	15
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	14
Robust interaction detector: A case of road life expectancy analysis	13
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	13

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

Covariate-dependent spatio-temporal covariance models	6
A parametric specification test for linear spatial autoregressive models	6
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	6
Bayesian disease mapping: Past, present, and future	5
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	5
Spatial kriging for replicated temporal point processes	5
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	5
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	5
Regime changes and spatial dependence in the 2020 US presidential election polls	5
Spatiotemporal sampling with spatial spreading and rotation of units in time	5
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	5
Similarity and geographically weighted regression considering spatial scales of features space	5
A spatio-temporal model for detecting the effect of cocaine use disorder on functional connectivity	5
Nonparametric approaches for direct approximation of the spatial quantiles	5
A J-test for spatial autoregressive binary models	5
Source reconstruction for spatio-temporal physical statistical models	5
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	5
Community mobility in the European regions during COVID-19 pandemic: A partitioning around medoids with noise cluster based on space–time autoregressive models	5
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data	5
Spatial classification in the presence of measurement error	5
A comparison of model validation approaches for echo state networks using climate model replicates	5
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	5
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	5
Sampling design for binary geostatistical data, application to inspection actions of fishing activity in Portugal	5
Spatial aggregation with respect to a population distribution: Impact on inference	5
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	5
Spatially varying coefficient models using reduced-rank thin-plate splines	5
Fuzzy clustering of mixed data with spatial regularization	4
Profile likelihoods for parameters in trans-Gaussian geostatistical models	4
A Bayesian nonparametric spatial model with covariate-dependent joint weights	4
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	4
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	4
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	4
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	4
Sampling strategies for proportion and rate estimation in a spatially correlated population	4
Uncovering hidden alignments in two-dimensional point fields	4
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	4
A low-rank Bayesian approach for geoadditive modeling	4
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	4
Detecting spatial clusters in functional data: New scan statistic approaches	4
Facing spatial massive data in science and society: Variable selection for spatial models	4
Spatially penalized registration of multivariate functional data	4
Fuzzy membership function for weighting pairs in variographical analysis	4
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	4
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	4
Copula-Based Data-Driven Multiple-Point Simulation Method	4
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	4
Characteristics of some isotropic covariance models with negative values	4
The circular Matérn covariance function and its link to Markov random fields on the circle	3
Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response	3
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	3
A nonparametric penalized likelihood approach to density estimation of space–time point patterns	3
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence	3
Effective sample size for georeferenced and temporally evolving data	3
Random elastic space–time (REST) prediction	3
An object-oriented approach to the analysis of spatial complex data over stream-network domains	3
A hypothesis test for detecting distance-specific clustering and dispersion in areal data	3
Addressing uncertainty in census estimates	3
A unified geographically weighted regression model	3
Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm	3
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	3
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	3
Fundamental problems in fitting spatial cluster process models	3
Conformal novelty detection for replicate point patterns with FDR or FWER control	3
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	3
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	3
The spatial–temporal variation of poverty determinants	3
A Markov chain model for geographical accessibility	3
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves	3
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	2
Geostatistical capture–recapture models	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
Impacts of spatial imputation on location-allocation problem solutions	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
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	2
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models	2
Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata	2
Using echo state networks to inform physical models for fire front propagation	2

Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model	2
Variable selection of nonparametric spatial autoregressive models via deep learning	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
A flexible likelihood-based neural network extension of the classic spatio-temporal model	2
Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion	2
Robust second-order stationary spatial blind source separation using generalized sign matrices	2
The impact of spatial statistics in Africa	2
Spatial modeling for the distribution of species in plant communities	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
Fully nonseparable Gneiting covariance functions for multivariate space–time data	2
Change detection from high-resolution airborne laser scans using penalized composite likelihood screening	2
A term structure geostatistical model with correlated residuals: A comparative analysis	2
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models	2
Softening the criteria for determining inner and outer predicted exceedance sets	2
Higher-dimensional spatial extremes via single-site conditioning	2
Spatio-temporal clustering: Neighbourhoods based on median seasonal entropy	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	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
Spatially dependent mixture models via the logistic multivariate CAR prior	2
Modeling spatio-temporal complex covariance functions for vectorial data	2