Spatial Statistics

Article	Citations
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics	54
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting	51
A criterion and incremental design construction for simultaneous kriging predictions	49
Spatio-temporal small area surveillance of the COVID-19 pandemic	46
A new class of α-transformations for the spatial analysis of Compo	43
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	37
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models	34
A mixed sampling strategy for partially geo-referenced finite populations	28
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	28
Population-weighted exposure to air pollution and COVID-19 incidence in Germany	26
Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic	25
A multi-site stochastic weather generator for high-frequency precipitation using censored skew-symmetric distribution	24
TheF-family of covariance functions: A Matérn	23
Maximum likelihood estimation of spatially varying coefficient models for large data with an application to real estate price prediction	23
Testing global and local dependence of point patterns on covariates in parametric models	22
Bivariate Matérn covariances with cross-dimple for modeling coregionalized variables	18
Deformed SPDE models with an application to spatial modeling of significant wave height	18
On the importance of thinking locally for statistics and society	18
Comparing eight remotely sensed sea surface temperature products and Bayesian maximum entropy-based data fusion products	17
A K-function for inhomogeneous random measures with geometric featu	17
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	16
Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data	16
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	14
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions	14
A Bayesian nonparametric spatial model with covariate-dependent joint weights	13

Spherical Poisson point process intensity function modeling and estimation with measure transport	13
Bayesian surface regression versus spatial spectral nonparametric curve regression	13
Spatial linear discriminant analysis approaches for remote-sensing classification	12
A two-stage Cox process model with spatial and nonspatial covariates	12
Copula-based multiple indicator kriging for non-Gaussian random fields	11
Deep graphical regression for jointly moderate and extreme Australian wildfires	11
Surface time series models for large spatio-temporal datasets	11
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes	10
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling	10
Generalised hyperbolic state space models with application to spatio-temporal heat wave prediction	9
A flexible class of priors for orthonormal matrices with basis function-specific structure	9
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods	9
A Poisson cokriging method for bivariate count data	9
Graph convolutional networks for spatial interpolation of correlated data	9
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	9
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?	9
Analytical simulation methodology for nonlinear spatiotemporal models: Spatial salience in Covid-19 contagion	8
Semi-parametric resampling with extremes	8
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	8
A flexible likelihood-based neural network extension of the classic spatio-temporal model	8
Spatial statistics and stochastic partial differential equations: A mechanistic viewpoint	8
A more accurate estimation with kernel machine for nonparametric spatial lag models	8
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	8
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	8
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification	8
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	8
Spatial modeling for the distribution of species in plant communities	8
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	8
Imputed spatial data: Cautions arising from response and covariate imputation measurement error	8
Conditional modelling of spatio-temporal extremes for Red Sea surface temperatures	7
Distribution-free regression model selection with a nested spatial correlation structure	7
Use of fractals to measure anisotropy in point patterns extracted with the DPT of an image	7
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers	7
Understanding the effects of dichotomization of continuous outcomes on geostatistical inference	7
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	7
Nonparametric spatiotemporal analysis of violent crime. A case study in the Rio de Janeiro metropolitan area	7
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	7
The impact of spatial statistics in Africa	7
A spatio-temporal model for temporal evolution of spatial extremal dependence	7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	6
Modeling accident risk at the road level through zero-inflated negative binomial models: A case study of multiple road networks	6
A parametric specification test for linear spatial autoregressive models	6
Robust second-order stationary spatial blind source separation using generalized sign matrices	6
Higher-dimensional spatial extremes via single-site conditioning	6
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains	6
Probabilistic Context Neighborhood model for lattices	6
Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires	6
Measurement error-filtered machine learning in digital soil mapping	6
Copula-Based Data-Driven Multiple-Point Simulation Method	6
Bayesian inference for big spatial data using non-stationary spectral simulation	6

Estimation and inference of multi-effect generalized geographically and temporally weighted regression models	6
Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic	5
A multivariate spatial and spatiotemporal ARCH Model	5
Ordered conditional approximation of Potts models	5
Correlation-based hierarchical clustering of time series with spatial constraints	5
Model-assisted estimation of forest attributes exploiting remote sensing information to handle spatial under-coverage	5
Using spatial ordinal patterns for non-parametric testing of spatial dependence	5
Corrigendum to “Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants” [Spatial Stat. 45 (2021) 100533]	5
Spatio-temporal clustering using generalized lasso to identify the spread of Covid-19 in Indonesia according to provincial flight route-based connections	5
Spatially varying anisotropy for Gaussian random fields in three-dimensional space	5
Modeling left-censored skewed spatial processes: The case of arsenic drinking water contamination	5
A selective view of climatological data and likelihood estimation	5
WITHDRAWN: Editorial: Spatio-temporal dynamics of Covid	5
Impacts of spatial imputation on location-allocation problem solutions	5
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss	5
Summary statistics for spatio-temporal point processes on linear networks	5
Tests for isotropy in spatial point patterns – A comparison of statistical indices	5
Flexible modeling of multivariate spatial extremes	5
Causal inference in spatial statistics	5
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	5
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data	5
General spatial model meets adaptive shrinkage generalized moment estimation: Simultaneous model and moment selection	5
Using neural networks to estimate parameters in spatial point process models	5
Generalized mixed spatio-temporal modeling: Random effect via factor analysis with nonlinear interaction for cluster detection	5
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates	4
Mesoscopic laddering in consumer behaviour: Analysing the modalities of consumption on a micro-individual scale in the Meeting, Incentive, Conference, Exhibitions (MICE) sector	4
Estimating the growth rate of infection during the early phase of a pandemic like COVID-19	4
Geostatistical prediction through convex combination of Archimedean copulas	4
Which parameterization of the Matérn covariance function?	4
An optimised rabies vaccination schedule for rural settlements	4
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	4
Editorial: Spatio-temporal dynamics of Covid	4
Modeling spatial correlation that grows on trees, with a stream network application	4
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	4
Detecting spatial clusters in functional data: New scan statistic approaches	4
Semiparametric regression for spatial data via deep learning	4
Softening the criteria for determining inner and outer predicted exceedance sets	4
A flexible special case of the CSN for spatial modeling and prediction	4
Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata	4
A zero-dose vulnerability index for equity assessment and spatial prioritization in low- and middle-income countries	4
Time varying complex covariance functions for oceanographic data	4
A convolution type model for the intensity of spatial point processes applied to eye-movement data	4
Facing spatial massive data in science and society: Variable selection for spatial models	4
Fuzzy clustering of mixed data with spatial regularization	4
Robust interaction detector: A case of road life expectancy analysis	4
The SPDE approach for spatio-temporal datasets with advection and diffusion	3
Information criteria for matrix exponential spatial specifications	3
Joint simulation through orthogonal factors generated by the L-SHADE optimization method	3
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	3
Spatial kriging for replicated temporal point processes	3
Introduction to the special issue Towards Spatial Data Science	3
A heterogeneous Bayesian regression model for skewed spatial data	3
A Markov chain model for geographical accessibility	3
Identification of dominant features in spatial data	3
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey	3
Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain	3
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	3
Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm	3
Dimension reduction for spatial regression: Spatial predictor envelope	3
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data	3
Editorial: The impact of spatial statistics	3
Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia	3
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities	3
Spatio-temporal clustering: Neighbourhoods based on median seasonal entropy	3
Analysing point patterns on networks — A review	3
The (in)stability of Bayesian model selection criteria in disease mapping	3
Spatial modelling of Lexis mortality data	3
Incremental transfer learning for spatial autoregressive model with linear constraints	3
Space, uncertainty, and the environment: honoring the distinguished career of Noel Cressie	3
Preferential sampling for bivariate spatial data	3
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	3
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models	3
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	3
Mapping road traffic crash hotspots using GIS-based methods: A case study of Muscat Governorate in the Sultanate of Oman	3
Spatial statistics and soil mapping: A blossoming partnership under pressure	3
Addressing uncertainty in census estimates	2
Rapid outlier detection, model selection and variable selection using penalized likelihood estimation for general spatial models	2
Bayesian spatio-temporal statistical modeling of violent-related fatality in western and central Africa	2
Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect	2
Spatial Smoothing Using Graph Laplacian Penalized Filter	2

Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation	2
Bayesian spatial modeling using random Fourier frequencies	2
Covariate-dependent spatio-temporal covariance models	2
Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion	2
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants	2
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach	2
Directional spatial autoregressive dependence in the conditional first- and second-order moments	2
A different type of Burr distribution applying to hydro-meteorological data	2
Spatially penalized registration of multivariate functional data	2
The spatial–temporal variation of poverty determinants	2
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves	2
Concept-driven extraction of the Antarctic marginal sea ice zone from remote sensing image time series	2
Spatially clustered regression	2
Source reconstruction for spatio-temporal physical statistical models	2
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	2
Geographically Weighted Zero-Inflated Negative Binomial Regression: A general case for count data	2
Fuzzy clustering of spatial interval-valued data	2
A log-additive neural model for spatio-temporal prediction of groundwater levels	2
A zero-inflated mixture spatially varying coefficient modeling of cholera incidences	2
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	2
A spatial panel autoregressive model specification with inverse quantile separation distances of locations	2
Nonparametric spatial autoregressive model using deep neural networks	2
Sampling strategies for proportion and rate estimation in a spatially correlated population	2
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro	2
Deep learning and spatial statistics	2
Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate	2
A hypothesis test for detecting spatial patterns in categorical areal data	2
Self-correlated spatial random variables: From an auto- to a sui- model respecification	2
On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes	2
Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations	2