Spatial Statistics

Article	Citations
Bayesian geographically weighted regression using Fused Lasso prior	67
A flexible class of priors for orthonormal matrices with basis function-specific structure	67
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	65
A more accurate estimation with kernel machine for nonparametric spatial lag models	57
Spatial linear discriminant analysis approaches for remote-sensing classification	41
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	28
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	27
Derivative-based spatial mediation with INLA-SPDE	25
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	24
Transfer learning for high dimensional spatial autoregressive model	24
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	23
Dynamic spatial regimes for spatial panel data	22
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	22
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	21
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	21
Tests for isotropy in spatial point patterns – A comparison of statistical indices	20
Using neural networks to estimate parameters in spatial point process models	18
Correlation-based hierarchical clustering of time series with spatial constraints	17
Attribute based spatial segmentation for optimising POI placement	17
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	16
Information criteria for matrix exponential spatial specifications	16
A spatial autoregressive graphical model	16
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	15
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	15
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	14

Robust interaction detector: A case of road life expectancy analysis	14
Nonparametric isotropy test for spatial point processes using random rotations	14
Editorial: The impact of spatial statistics	14
A marked sequential point process for disease surveillance: Modeling and optimization	13
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	13
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	12
An interaction Neyman–Scott point process model for coronavirus disease-19	12
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	12
Dynamic ICAR Spatiotemporal Factor Models	12
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	12
Regime-based precipitation modeling: A spatio-temporal approach	11
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	11
A log-additive neural model for spatio-temporal prediction of groundwater levels	11
A generalized additive model (GAM) approach to principal component analysis of geographic data	10
Flexible spatio-temporal Hawkes process models for earthquake occurrences	10
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	10
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	10
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	10
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	10
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	10
A Poisson cokriging method for bivariate count data	9
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	9
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	9
On the importance of thinking locally for statistics and society	9
A spatio-temporal model for temporal evolution of spatial extremal dependence	9
Spatial Bayesian neural networks	9
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	9
Spatial robust fuzzy clustering of mixed data with electoral study	9
Variograms for kriging and clustering of spatial functional data with phase variation	9
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	8
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	8
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	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	8
Probabilistic Context Neighborhood model for lattices	8
A new class of α	8
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	8
A criterion and incremental design construction for simultaneous kriging predictions	8
A multivariate spatial and spatiotemporal ARCH Model	8
Covariate-dependent spatio-temporal covariance models	7
Measurement error-filtered machine learning in digital soil mapping	7
Editorial: Spatio-temporal dynamics of Covid	7
Using spatial ordinal patterns for non-parametric testing of spatial dependence	7
Flexible modeling of multivariate spatial extremes	7
Which parameterization of the Matérn covariance function?	7
A parametric specification test for linear spatial autoregressive models	7
Clustered factor analysis for multivariate spatial data	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	7
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	6

Nonparametric approaches for direct approximation of the spatial quantiles	6
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	6
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	6
Source reconstruction for spatio-temporal physical statistical models	6
A J-test for spatial autoregressive binary models	6
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	6
Spatial kriging for replicated temporal point processes	6
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	6
Similarity and geographically weighted regression considering spatial scales of features space	6
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	5
Profile likelihoods for parameters in trans-Gaussian geostatistical models	5
Spatially varying coefficient models using reduced-rank thin-plate splines	5
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	5
Spatial classification in the presence of measurement error	5
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	5
Fuzzy membership function for weighting pairs in variographical analysis	5
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data	5
A low-rank Bayesian approach for geoadditive modeling	5
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	5
Regime changes and spatial dependence in the 2020 US presidential election polls	5
Sampling design for binary geostatistical data, application to inspection actions of fishing activity in Portugal	5
Uncovering hidden alignments in two-dimensional point fields	5
Bayesian disease mapping: Past, present, and future	5
Spatiotemporal sampling with spatial spreading and rotation of units in time	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
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	5
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	5
A comparison of model validation approaches for echo state networks using climate model replicates	5
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	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
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	5
Detecting spatial clusters in functional data: New scan statistic approaches	4
Random elastic space–time (REST) prediction	4
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	4
Spatially penalized registration of multivariate functional data	4
A Bayesian nonparametric spatial model with covariate-dependent joint weights	4
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	4
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	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
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	4
The spatial–temporal variation of poverty determinants	4
Facing spatial massive data in science and society: Variable selection for spatial 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
Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm	4
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves	4
A Markov chain model for geographical accessibility	4
Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence	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
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
Fundamental problems in fitting spatial cluster process models	3
Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response	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
Change detection from high-resolution airborne laser scans using penalized composite likelihood screening	3
The circular Matérn covariance function and its link to Markov random fields on the circle	3
A unified geographically weighted regression model	3
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	3
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	3
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient 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
A nonparametric penalized likelihood approach to density estimation of space–time point patterns	3
Effective sample size for georeferenced and temporally evolving data	3
An object-oriented approach to the analysis of spatial complex data over stream-network domains	3
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	3
Modeling spatio-temporal complex covariance functions for vectorial data	3
Impacts of spatial imputation on location-allocation problem solutions	2
Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata	2
Graph convolutional networks for spatial interpolation of correlated data	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
Spatially dependent mixture models via the logistic multivariate CAR prior	2
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	2
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	2

Bayesian spatial modeling using random Fourier frequencies	2
Robust second-order stationary spatial blind source separation using generalized sign matrices	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
Higher-dimensional spatial extremes via single-site conditioning	2
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	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
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
Spatial modeling for the distribution of species in plant communities	2
Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion	2
A hypothesis test for detecting spatial patterns in categorical areal data	2
The impact of spatial statistics in Africa	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 flexible likelihood-based neural network extension of the classic spatio-temporal model	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2
Using echo state networks to inform physical models for fire front propagation	2
Geostatistical capture–recapture models	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
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models	2
Dimension reduction for spatial regression: Spatial predictor envelope	2
Softening the criteria for determining inner and outer predicted exceedance sets	2