Spatial Statistics

Article	Citations
Bayesian geographically weighted regression using Fused Lasso prior	71
A flexible class of priors for orthonormal matrices with basis function-specific structure	70
A more accurate estimation with kernel machine for nonparametric spatial lag models	67
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	60
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	42
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	32
Spatial linear discriminant analysis approaches for remote-sensing classification	30
Derivative-based spatial mediation with INLA-SPDE	27
Transfer learning for high dimensional spatial autoregressive model	27
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	26
Tests for isotropy in spatial point patterns – A comparison of statistical indices	24
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	24
Using neural networks to estimate parameters in spatial point process models	23
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	22
Correlation-based hierarchical clustering of time series with spatial constraints	21
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	21
Dynamic spatial regimes for spatial panel data	21
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	19
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	19
Editorial: The impact of spatial statistics	18
Information criteria for matrix exponential spatial specifications	17
Robust interaction detector: A case of road life expectancy analysis	17
A spatial autoregressive graphical model	17
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	17
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	16

Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	15
Nonparametric isotropy test for spatial point processes using random rotations	15
Attribute based spatial segmentation for optimising POI placement	15
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	14
Spatial survival models based on Weibull random fields	14
Dynamic ICAR Spatiotemporal Factor Models	14
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	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
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
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	12
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	11
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	11
A generalized additive model (GAM) approach to principal component analysis of geographic data	11
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	11
Regime-based precipitation modeling: A spatio-temporal approach	10
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	10
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	10
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis	10
Flexible spatio-temporal Hawkes process models for earthquake occurrences	10
Variograms for kriging and clustering of spatial functional data with phase variation	10
Spatial robust fuzzy clustering of mixed data with electoral study	10
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	10
Spatial Bayesian neural networks	10
A criterion and incremental design construction for simultaneous kriging predictions	10
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	9
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	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
A new class of α	9
A Poisson cokriging method for bivariate count data	9
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	9
Spatial and spatio-temporal cluster detection using stacking	9
Probabilistic Context Neighborhood model for lattices	8
A spatio-temporal model for temporal evolution of spatial extremal dependence	8
A multivariate spatial and spatiotemporal ARCH Model	8
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	8
Using spatial ordinal patterns for non-parametric testing of spatial dependence	8
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	8
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	8
Editorial: Spatio-temporal dynamics of Covid	8
A parametric specification test for linear spatial autoregressive models	8
Flexible modeling of multivariate spatial extremes	8
Spatio-temporal small area surveillance of the COVID-19 pandemic	8
On the importance of thinking locally for statistics and society	8
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	8
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	8
Which parameterization of the Matérn covariance function?	7
Source reconstruction for spatio-temporal physical statistical models	7
Nonparametric approaches for direct approximation of the spatial quantiles	7

Clustered factor analysis for multivariate spatial data	7
Covariate-dependent spatio-temporal covariance models	7
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	7
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	7
Measurement error-filtered machine learning in digital soil mapping	7
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	7
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	7
Spatial kriging for replicated temporal point processes	7
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	6
Growth of spatial statistics for agriculture and environment: The example of BioSP at INRAE	6
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	6
A J-test for spatial autoregressive binary models	6
Sampling design for binary geostatistical data, application to inspection actions of fishing activity in Portugal	6
Spatial classification in the presence of measurement error	6
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	6
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	6
Similarity and geographically weighted regression considering spatial scales of features space	6
Variational autoencoded multivariate spatial Fay–Herriot models	6
A comparison of model validation approaches for echo state networks using climate model replicates	6
Bayesian disease mapping: Past, present, and future	6
Spatially varying coefficient models using reduced-rank thin-plate splines	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
Profile likelihoods for parameters in trans-Gaussian geostatistical models	5
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	5
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	5
A low-rank Bayesian approach for geoadditive modeling	5
Fuzzy membership function for weighting pairs in variographical analysis	5
Regime changes and spatial dependence in the 2020 US presidential election polls	5
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	5
Spatial aggregation with respect to a population distribution: Impact on inference	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	5
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	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
A Bayesian nonparametric spatial model with covariate-dependent joint weights	5
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	5
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	5
A Markov chain model for geographical accessibility	4
Copula-Based Data-Driven Multiple-Point Simulation Method	4
Characteristics of some isotropic covariance models with negative values	4
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	4
A concordance coefficient for lattice data: An application to poverty indices in Chile	4
Sampling strategies for proportion and rate estimation in a spatially correlated population	4
The spatial–temporal variation of poverty determinants	4
Facing spatial massive data in science and society: Variable selection for spatial models	4
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	4
Joint model for zero-inflated data combining fishery-dependent and fishery-independent sources	4
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves	4
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	4
Random elastic space–time (REST) prediction	4
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	4
Fuzzy clustering of mixed data with spatial regularization	4
Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence	4
Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm	4
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
Spatially penalized registration of multivariate functional data	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
Modeling spatio-temporal complex covariance functions for vectorial data	3
Variable selection of nonparametric spatial autoregressive models via deep learning	3
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	3
Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response	3
The circular Matérn covariance function and its link to Markov random fields on the circle	3
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	3
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	3
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting	3
Geostatistical capture–recapture models	3
Conformal novelty detection for replicate point patterns with FDR or FWER control	3
A unified geographically weighted regression model	3
Effective sample size for georeferenced and temporally evolving data	3
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	3
Fundamental problems in fitting spatial cluster process models	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
Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model	3
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models	3
A nonparametric penalized likelihood approach to density estimation of space–time point patterns	3
Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections	2

Using echo state networks to inform physical models for fire front propagation	2
Higher-dimensional spatial extremes via single-site conditioning	2
Robust second-order stationary spatial blind source separation using generalized sign matrices	2
Regularization of the Ensemble Kalman Filter using a non-parametric, non-stationary spatial model	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
Dimension reduction for spatial regression: Spatial predictor envelope	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion	2
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
A hypothesis test for detecting spatial patterns in categorical areal data	2
A flexible likelihood-based neural network extension of the classic spatio-temporal model	2
Impacts of spatial imputation on location-allocation problem solutions	2
Adaptively robust geographically weighted regression	2
The impact of spatial statistics in Africa	2
The SPDE approach for spatio-temporal datasets with advection and diffusion	2
Spatial modeling for the distribution of species in plant communities	2
Fully nonseparable Gneiting covariance functions for multivariate space–time data	2
Urban/rural differences in air pollution impacts on deaths in Scotland: A comparison study on different pollution data sources	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
Bayesian spatial modeling using random Fourier frequencies	2
Softening the criteria for determining inner and outer predicted exceedance sets	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata	2
On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes	2
Graph convolutional networks for spatial interpolation of correlated data	2
A zero-inflated mixture spatially varying coefficient modeling of cholera incidences	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	2
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models	2
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	2
Deep learning and spatial statistics	2
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models	2
Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect	2
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	2