Spatial Statistics

Article	Citations
A more accurate estimation with kernel machine for nonparametric spatial lag models	96
Explicit modeling of density dependence in spatial capture-recapture models	91
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	71
Functional random field data analysis using nonparametric	57
Bayesian geographically weighted regression using Fused Lasso prior	51
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	42
Spatial linear discriminant analysis approaches for remote-sensing classification	38
Transforming point forecasts into probabilistic wind power scenarios using a hierarchical Bayesian model	33
A Bayesian INLA-SPDE approach to spatio-temporal point-grid fusion with change-of-support and misaligned covariates	30
An improved statistical framework for the HeTerogeneity Average (HTA) Index	28
A flexible class of priors for orthonormal matrices with basis function-specific structure	27
Derivative-based spatial mediation with INLA-SPDE	26
Voronoi linkage between mismatching voting stations and census tracts in analyzing the 2018 Brazilian presidential election data	25
Geographically weighted Poisson–Tweedie model for count data	25
Using neural networks to estimate parameters in spatial point process models	24
Measuring unit relevance and stability in hierarchical spatio-temporal clustering	21
Dynamic spatial regimes for spatial panel data	21
Tests for isotropy in spatial point patterns – A comparison of statistical indices	20
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	20
A random quantile approach for prior covariance estimation in Bayesian Maximum Entropy	19
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	19
Correlation-based hierarchical clustering of time series with spatial constraints	19
A simultaneous system of dynamic spatial stochastic frontier models with dependent error components and inefficiency determinants	17
Transfer learning for high dimensional spatial autoregressive model	16
Attribute based spatial segmentation for optimising POI placement	16

Spatiotemporal modeling of COVID-19 cases using human movement and activity index	15
Editorial: The impact of spatial statistics	15
A spatial autoregressive graphical model	15
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	15
Information criteria for matrix exponential spatial specifications	14
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	14
Cluster detection for ordinal categorical areal data	13
Modeling geostatistical incomplete spatially correlated survival data with applications to COVID-19 mortality in Ghana	13
Testing independence of stationary spatial point processes in irregular polygonal domains	13
Robust interaction detector: A case of road life expectancy analysis	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	12
Dynamic ICAR Spatiotemporal Factor Models	12
Directional spatial individual level models of infectious disease transmission	12
Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices	12
Nonparametric isotropy test for spatial point processes using random rotations	12
A log-additive neural model for spatio-temporal prediction of groundwater levels	11
Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data	11
A marked sequential point process for disease surveillance: Modeling and optimization	11
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	11
Spatial survival models based on Weibull random fields	11
Flexible spatio-temporal Hawkes process models for earthquake occurrences	10
Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo	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
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
Review of Sujit Sahu’s “Bayesian modeling of spatio-temporal data with R”	9
A generalized additive model (GAM) approach to principal component analysis of geographic data	9
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	9
Spatiotemporal mapping and analysis of atypical COVID-19 outbreaks in Shijiazhuang City (China) using the synthetic SEIR-BME approach	9
Variograms for kriging and clustering of spatial functional data with phase variation	9
Uncertain spatial autoregressive model with applications to regional economic analysis and regional air quality analysis	9
Regime-based precipitation modeling: A spatio-temporal approach	9
Spatial Bayesian neural networks	9
Estimation and selection in survival models for individuals with spatial frailty	9
Spatial robust fuzzy clustering of mixed data with electoral study	8
Spatiotemporal dynamics of COVID-19 in Wuhan based on community notifications	8
A criterion and incremental design construction for simultaneous kriging predictions	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
A Poisson cokriging method for bivariate count data	8
Spatial and spatio-temporal cluster detection using stacking	8
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	7
A spatio-temporal model for temporal evolution of spatial extremal dependence	7
A multivariate spatial and spatiotemporal ARCH Model	7
Clustered factor analysis for multivariate spatial data	7
Reframing coverage estimation under line-strip sampling in the Monte Carlo integration framework	7
Modelling of spatially misaligned wastewater-based surveillance data	7
Probabilistic Context Neighborhood model for lattices	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	7
Misspecification issues between competitive spatio-temporal cluster point processes	7

Using spatial ordinal patterns for non-parametric testing of spatial dependence	7
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	7
On the importance of thinking locally for statistics and society	7
A parametric specification test for linear spatial autoregressive models	7
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	7
Multivariate low-rank state–space model with SPDE approach for high-dimensional data	7
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	6
Prediction of spatio-temporal data on meshed surfaces using advection–diffusion SPDEs	6
Deep kernel learning for geostatistics: Learning spatial deformation with normalizing flows	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
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	6
Robust variable selection for spatial point processes observed with noise	6
Covariate-dependent spatio-temporal covariance models	6
Flexible modeling of multivariate spatial extremes	6
Which parameterization of the Matérn covariance function?	6
Spatial kriging for replicated temporal point processes	5
Nonparametric approaches for direct approximation of the spatial quantiles	5
A comparison of model validation approaches for echo state networks using climate model replicates	5
Similarity and geographically weighted regression considering spatial scales of features space	5
When machine learning extrapolates in space: How local data shape spatial transferability	5
Inference for stationary Log-Gaussian Cox point processes using Bayesian deep learning: Application to human oral microbiome image data	5
A J-test for spatial autoregressive binary models	5
Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials	5
Bayesian strategies for repulsive spatial point processes	5
Pointwise confidence intervals of local linear regression with correlated errors using block bootstrap: Some practical applications	5
Estimation and testing of time-varying coefficients spatial autoregressive panel data model	5
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	5
Spatial classification in the presence of measurement error	5
Growth of spatial statistics for agriculture and environment: The example of BioSP at INRAE	4
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
A comparison between geostatistical and machine learning models for spatio-temporal prediction of PM2.5 data	4
Bayesian adaptive Lasso estimation for partially linear hierarchical spatial autoregressive model	4
Sparse–smooth spatially varying coefficient quantile regression	4
Variational autoencoded multivariate spatial Fay–Herriot models	4
Fuzzy membership function for weighting pairs in variographical analysis	4
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	4
Regime changes and spatial dependence in the 2020 US presidential election polls	4
Spatially varying coefficient models using reduced-rank thin-plate splines	4
Bayesian disease mapping: Past, present, and future	4
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	4
Integrating SKATER and logistic regression for spatial regime analysis: A case study of the 2016 US presidential election	4
Spatial aggregation with respect to a population distribution: Impact on inference	4
Uncovering hidden alignments in two-dimensional point fields	4
Image rotation angle estimation using spatial cross-correlation techniques	4
Combining machine learning quantile regression and Gaussian random fields: A general framework for modeling and simulating space–time processes	4
Profile likelihoods for parameters in trans-Gaussian geostatistical models	4
Sampling design for binary geostatistical data, application to inspection actions of fishing activity in Portugal	4
Composite method for fast computation of individual level spatial epidemic models	4
Characteristics of some isotropic covariance models with negative values	3
A Bayesian nonparametric spatial model with covariate-dependent joint weights	3
Copula-Based Data-Driven Multiple-Point Simulation Method	3
Spatially penalized registration of multivariate functional data	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
A Markov chain model for geographical accessibility	3
Bayesian inference for Neyman–Scott point processes with anisotropic clusters	3
Takacs-Fiksel estimation as a special case of Point Process Learning	3
A multi-stage Bayesian approach to fit spatial point process models	3
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	3
Transfer learning for spatial autoregressive models with missing responses	3
Random elastic space–time (REST) prediction	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
Variable selection via penalized quasi-maximum likelihood method for spatial autoregressive model with missing response	3
A delayed acceptance auxiliary variable MCMC for spatial models with intractable likelihood function	3
Joint model for zero-inflated data combining fishery-dependent and fishery-independent sources	3
Fuzzy clustering of mixed data with spatial regularization	3
Facing spatial massive data in science and society: Variable selection for spatial models	3
Bayesian analysis and variable selection for spatial count data with an application to Rio de Janeiro gun violence	3
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	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
Variable selection for expectile regression in nonparametric spatial additive models	3
The spatial–temporal variation of poverty determinants	3
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	3
The circular Matérn covariance function and its link to Markov random fields on the circle	2
Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models	2
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting	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
Graph convolutional networks for spatial interpolation of correlated data	2
Determinants of vote transitions by ecological inference within small areas	2
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	2
Conformal novelty detection for replicate point patterns with FDR or FWER control	2
A bootstrap goodness-of-fit test for the variogram	2
Local summary statistics for spatial point process intensity estimation	2
Ideological and geographical patterns in European political system: An Archetypoid and Spatial Analysis	2
Using echo state networks to inform physical models for fire front propagation	2
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	2
Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models	2
Epidemiological insights and geographic clusters for COVID-19 in Taiwan using a mixture scan statistic	2
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	2
Deep learning of spatial quantile autoregressive model under nonparametric endogenous effect	2
Quantile-Stage model averaging transfer learning for high-dimensional spatial expected shortfall regression	2
A hypothesis test for detecting distance-specific clustering and dispersion in areal data	2
A term structure geostatistical model with correlated residuals: A comparative analysis	2
Fast mixture spatial regression: A mixture in the geographical and feature space applied to predict porosity in the post-salt	2
Bayesian surface regression versus spatial spectral nonparametric curve regression	2
A unified geographically weighted regression model	2
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	2
Fully nonseparable Gneiting covariance functions for multivariate space–time data	2
Measuring territorial political representation	2
Estimating and plotting species-area relationship: Does aggregate distribution of species really matter?	2
Variable selection of nonparametric spatial autoregressive models via deep learning	2
Geostatistical capture–recapture models	2
A spatio-temporal model with seasonality to analyze elderly mortality patterns in Italy	2
An object-oriented approach to the analysis of spatial complex data over stream-network domains	2
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	2
Adaptive local maxima windows for tree detection: A point process perspective	2
Spatial modeling for the distribution of species in plant communities	2
Uncovering Local Spatial Context via Multiscale Geographically Weighted Binomial Regression	2
A flexible likelihood-based neural network extension of the classic spatio-temporal model	2
Fundamental problems in fitting spatial cluster process models	2
Application of improved Moran’s I in the evaluation of urban spatial development	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2