Spatial Statistics

Article	Citations
A flexible class of priors for orthonormal matrices with basis function-specific structure	89
A more accurate estimation with kernel machine for nonparametric spatial lag models	86
Explicit modeling of density dependence in spatial capture-recapture models	66
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	48
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	45
Bayesian geographically weighted regression using Fused Lasso prior	38
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	35
Spatial linear discriminant analysis approaches for remote-sensing classification	30
Functional random field data analysis using nonparametric	28
A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants	27
A random quantile approach for prior covariance estimation in Bayesian Maximum Entropy	26
Transfer learning for high dimensional spatial autoregressive model	25
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	25
Geographically weighted Poisson–Tweedie model for count data	24
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	23
Using neural networks to estimate parameters in spatial point process models	23
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	22
Dynamic spatial regimes for spatial panel data	22
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	22
Correlation-based hierarchical clustering of time series with spatial constraints	20
Derivative-based spatial mediation with INLA-SPDE	19
Voronoi linkage between mismatching voting stations and census tracts in analyzing the 2018 Brazilian presidential election data	19
Tests for isotropy in spatial point patterns – A comparison of statistical indices	19
Editorial: The impact of spatial statistics	18
Information criteria for matrix exponential spatial specifications	18

Spatiotemporal modeling of COVID-19 cases using human movement and activity index	17
A spatial autoregressive graphical model	17
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	17
Attribute based spatial segmentation for optimising POI placement	17
Robust interaction detector: A case of road life expectancy analysis	16
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	16
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	15
A log-additive neural model for spatio-temporal prediction of groundwater levels	14
Dynamic ICAR Spatiotemporal Factor Models	14
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	14
A marked sequential point process for disease surveillance: Modeling and optimization	14
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	13
Spatial survival models based on Weibull random fields	13
Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005–2022	13
Directional spatial individual level models of infectious disease transmission	13
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	12
Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity	12
Nonparametric isotropy test for spatial point processes using random rotations	12
A generalized additive model (GAM) approach to principal component analysis of geographic data	12
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	12
Regime-based precipitation modeling: A spatio-temporal approach	11
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis	11
Spatial Bayesian neural networks	11
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	11
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models	11
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	11
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	11
Design-based mapping of plant species presence, association, and richness by nearest-neighbour interpolation	11
Flexible spatio-temporal Hawkes process models for earthquake occurrences	11
Variograms for kriging and clustering of spatial functional data with phase variation	11
A Poisson cokriging method for bivariate count data	11
A criterion and incremental design construction for simultaneous kriging predictions	10
Spatial robust fuzzy clustering of mixed data with electoral study	10
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	10
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	9
A spatio-temporal model for temporal evolution of spatial extremal dependence	9
Probabilistic Context Neighborhood model for lattices	9
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	9
Spatio-temporal small area surveillance of the COVID-19 pandemic	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
Spatial and spatio-temporal cluster detection using stacking	9
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	9
On the importance of thinking locally for statistics and society	9
Clustered factor analysis for multivariate spatial data	8
Using spatial ordinal patterns for non-parametric testing of spatial dependence	8
Flexible modeling of multivariate spatial extremes	8
Misspecification issues between competitive spatio-temporal cluster point processes	8
Multivariate low-rank state–space model with SPDE approach for high-dimensional data	8
Editorial: Spatio-temporal dynamics of Covid	8
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	8

A parametric specification test for linear spatial autoregressive models	7
Spatial kriging for replicated temporal point processes	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
Inference for stationary Log-Gaussian Cox point processes using Bayesian deep learning: Application to human oral microbiome image data	7
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	7
A multivariate spatial and spatiotemporal ARCH Model	7
Bayesian strategies for repulsive spatial point processes	7
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	7
Bayesian disease mapping: Past, present, and future	7
Which parameterization of the Matérn covariance function?	7
Reframing coverage estimation under line-strip sampling in the Monte Carlo integration framework	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Source reconstruction for spatio-temporal physical statistical models	7
Nonparametric approaches for direct approximation of the spatial quantiles	7
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	7
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	6
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	6
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	6
Growth of spatial statistics for agriculture and environment: The example of BioSP at INRAE	6
Spatial classification in the presence of measurement error	6
A comparison of model validation approaches for echo state networks using climate model replicates	6
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	6
Sampling design for binary geostatistical data, application to inspection actions of fishing activity in Portugal	6
A J-test for spatial autoregressive binary models	6
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	6
Composite method for fast computation of individual level spatial epidemic models	6
Similarity and geographically weighted regression considering spatial scales of features space	6
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data	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
Regime changes and spatial dependence in the 2020 US presidential election polls	5
Spatially varying coefficient models using reduced-rank thin-plate splines	5
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	5
Image rotation angle estimation using spatial cross-correlation techniques	5
Profile likelihoods for parameters in trans-Gaussian geostatistical models	5
Fuzzy membership function for weighting pairs in variographical analysis	5
Variational autoencoded multivariate spatial Fay–Herriot models	5
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	5
Uncovering hidden alignments in two-dimensional point fields	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
Spatial aggregation with respect to a population distribution: Impact on inference	5
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	4
A low-rank Bayesian approach for geoadditive modeling	4
Copula-Based Data-Driven Multiple-Point Simulation Method	4
A multi-stage Bayesian approach to fit spatial point process 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
Transfer learning for spatial autoregressive models with missing responses	4
A Bayesian nonparametric spatial model with covariate-dependent joint weights	4
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	4
Characteristics of some isotropic covariance models with negative values	4
Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence	4
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	4
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	4
Facing spatial massive data in science and society: Variable selection for spatial models	4
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	4
Joint model for zero-inflated data combining fishery-dependent and fishery-independent sources	4
Random elastic space–time (REST) prediction	4
A hypothesis test for detecting distance-specific clustering and dispersion in areal data	3
Conformal novelty detection for replicate point patterns with FDR or FWER control	3
Estimating and plotting species-area relationship: Does aggregate distribution of species really matter?	3
A Markov chain model for geographical accessibility	3
The spatial–temporal variation of poverty determinants	3
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	3
Spatially penalized registration of multivariate functional data	3
A unified geographically weighted regression model	3
Determinants of vote transitions by ecological inference within small areas	3
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	3
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	3
Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response	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
A concordance coefficient for lattice data: An application to poverty indices in Chile	3
A nonparametric penalized likelihood approach to density estimation of space–time point patterns	3
Change detection from high-resolution airborne laser scans using penalized composite likelihood screening	3
Measuring territorial political representation	3
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting	3
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	3
Effective sample size for georeferenced and temporally evolving data	3

A delayed acceptance auxiliary variable MCMC for spatial models with intractable likelihood function	3
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
The circular Matérn covariance function and its link to Markov random fields on the circle	3
An object-oriented approach to the analysis of spatial complex data over stream-network domains	3
Fundamental problems in fitting spatial cluster process models	3
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models	2
A hypothesis test for detecting spatial patterns in categorical areal data	2
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	2
The SPDE approach for spatio-temporal datasets with advection and diffusion	2
Adaptive local maxima windows for tree detection: A point process perspective	2
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models	2
Variable selection of nonparametric spatial autoregressive models via deep learning	2
Impacts of spatial imputation on location-allocation problem solutions	2
The impact of spatial statistics in Africa	2
Dimension reduction for spatial regression: Spatial predictor envelope	2
A term structure geostatistical model with correlated residuals: A comparative analysis	2
Spatial modeling for the distribution of species in plant communities	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
Shrinkage estimation in geographically weighted regression with applications to digital platform pricing	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
Using echo state networks to inform physical models for fire front propagation	2
Probabilistic spatiotemporal modeling of day-ahead wind power generation with input-warped Gaussian processes	2
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models	2
Softening the criteria for determining inner and outer predicted exceedance sets	2
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	2
Higher-dimensional spatial extremes via single-site conditioning	2
Urban/rural differences in air pollution impacts on deaths in Scotland: A comparison study on different pollution data sources	2
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
Deep learning and spatial statistics	2
Geostatistical capture–recapture models	2
Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect	2
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
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
Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections	2
Regularization of the Ensemble Kalman Filter using a non-parametric, non-stationary spatial model	2
A flexible likelihood-based neural network extension of the classic spatio-temporal model	2
Graph convolutional networks for spatial interpolation of correlated data	2
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	2
Robust second-order stationary spatial blind source separation using generalized sign matrices	2