Spatial Statistics

Article	Citations
Bayesian geographically weighted regression using Fused Lasso prior	70
A flexible class of priors for orthonormal matrices with basis function-specific structure	70
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	66
A more accurate estimation with kernel machine for nonparametric spatial lag models	57
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	42
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	30
Spatial linear discriminant analysis approaches for remote-sensing classification	30
Derivative-based spatial mediation with INLA-SPDE	27
Dynamic spatial regimes for spatial panel data	24
Transfer learning for high dimensional spatial autoregressive model	24
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	24
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	23
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	22
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	22
Using neural networks to estimate parameters in spatial point process models	21
Tests for isotropy in spatial point patterns – A comparison of statistical indices	21
Correlation-based hierarchical clustering of time series with spatial constraints	20
A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants	19
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	18
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	17
Attribute based spatial segmentation for optimising POI placement	17
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	16
Editorial: The impact of spatial statistics	16
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	15
Robust interaction detector: A case of road life expectancy analysis	15

A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	15
A spatial autoregressive graphical model	15
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	14
Nonparametric isotropy test for spatial point processes using random rotations	14
Dynamic ICAR Spatiotemporal Factor Models	14
Information criteria for matrix exponential spatial specifications	14
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	12
A log-additive neural model for spatio-temporal prediction of groundwater levels	12
An interaction Neyman–Scott point process model for coronavirus disease-19	12
Spatial survival models based on Weibull random fields	12
A marked sequential point process for disease surveillance: Modeling and optimization	12
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	12
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	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
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	10
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	10
Regime-based precipitation modeling: A spatio-temporal approach	10
A generalized additive model (GAM) approach to principal component analysis of geographic data	10
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis	10
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	10
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	10
Flexible spatio-temporal Hawkes process models for earthquake occurrences	10
Spatial Bayesian neural networks	9
Spatial robust fuzzy clustering of mixed data with electoral study	9
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	9
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	9
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	9
A criterion and incremental design construction for simultaneous kriging predictions	9
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	9
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	9
Variograms for kriging and clustering of spatial functional data with phase variation	9
A Poisson cokriging method for bivariate count data	9
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	9
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	8
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	8
Editorial: Spatio-temporal dynamics of Covid	8
Probabilistic Context Neighborhood model for lattices	8
Spatio-temporal small area surveillance of the COVID-19 pandemic	8
Spatial and spatio-temporal cluster detection using stacking	8
On the importance of thinking locally for statistics and society	8
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	8
A spatio-temporal model for temporal evolution of spatial extremal dependence	8
A new class of α	8
A multivariate spatial and spatiotemporal ARCH Model	8
A parametric specification test for linear spatial autoregressive models	8
Clustered factor analysis for multivariate spatial data	7
Using spatial ordinal patterns for non-parametric testing of spatial dependence	7
Measurement error-filtered machine learning in digital soil mapping	7
Flexible modeling of multivariate spatial extremes	7
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	7

Covariate-dependent spatio-temporal covariance models	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Which parameterization of the Matérn covariance function?	7
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	7
Source reconstruction for spatio-temporal physical statistical models	6
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	6
Similarity and geographically weighted regression considering spatial scales of features space	6
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	6
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	6
Spatial kriging for replicated temporal point processes	6
A J-test for spatial autoregressive binary models	6
Spatial classification in the presence of measurement error	6
Nonparametric approaches for direct approximation of the spatial quantiles	6
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	6
A comparison of model validation approaches for echo state networks using climate model replicates	6
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	6
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	5
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	5
Variational autoencoded multivariate spatial Fay–Herriot models	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
A low-rank Bayesian approach for geoadditive modeling	5
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	5
Growth of spatial statistics for agriculture and environment: The example of BioSP at INRAE	5
Bayesian disease mapping: Past, present, and future	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
Spatial aggregation with respect to a population distribution: Impact on inference	5
Fuzzy membership function for weighting pairs in variographical analysis	5
Sampling design for binary geostatistical data, application to inspection actions of fishing activity in Portugal	5
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	5
Profile likelihoods for parameters in trans-Gaussian geostatistical models	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
Spatially varying coefficient models using reduced-rank thin-plate splines	5
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	5
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	4
Joint model for zero-inflated data combining fishery-dependent and fishery-independent sources	4
Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence	4
Sampling strategies for proportion and rate estimation in a spatially correlated population	4
Characteristics of some isotropic covariance models with negative values	4
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	4
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	4
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	4
Fuzzy clustering of mixed data with spatial regularization	4
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	4
Random elastic space–time (REST) prediction	4
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	4
Detecting spatial clusters in functional data: New scan statistic approaches	4
A Bayesian nonparametric spatial model with covariate-dependent joint weights	4
Copula-Based Data-Driven Multiple-Point Simulation Method	4
A concordance coefficient for lattice data: An application to poverty indices in Chile	4
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	4
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves	4
A Markov chain model for geographical accessibility	4
Facing spatial massive data in science and society: Variable selection for spatial models	4
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	4
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	4
Effective sample size for georeferenced and temporally evolving data	3
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
Spatially penalized registration of multivariate functional data	3
A nonparametric penalized likelihood approach to density estimation of space–time point patterns	3
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	3
Conformal novelty detection for replicate point patterns with FDR or FWER control	3
Variable selection of nonparametric spatial autoregressive models via deep learning	3
Fundamental problems in fitting spatial cluster process models	3
The spatial–temporal variation of poverty determinants	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
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	3
Geostatistical capture–recapture models	3
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	3
The circular Matérn covariance function and its link to Markov random fields on the circle	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
A unified geographically weighted regression model	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
Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata	2
Fully nonseparable Gneiting covariance functions for multivariate space–time data	2
Using echo state networks to inform physical models for fire front propagation	2

A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	2
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect	2
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	2
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
Deep learning and spatial statistics	2
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting	2
The impact of spatial statistics in Africa	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
Spatial modeling for the distribution of species in plant communities	2
The SPDE approach for spatio-temporal datasets with advection and diffusion	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2
A hypothesis test for detecting spatial patterns in categorical areal data	2
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models	2
Robust second-order stationary spatial blind source separation using generalized sign matrices	2
Change detection from high-resolution airborne laser scans using penalized composite likelihood screening	2
Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections	2
Higher-dimensional spatial extremes via single-site conditioning	2
Modeling spatio-temporal complex covariance functions for vectorial data	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
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	2
A flexible likelihood-based neural network extension of the classic spatio-temporal model	2
Bayesian spatial modeling using random Fourier frequencies	2
Graph convolutional networks for spatial interpolation of correlated data	2
Softening the criteria for determining inner and outer predicted exceedance sets	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
Impacts of spatial imputation on location-allocation problem solutions	2