Spatial Statistics

Papers
(The median citation count of Spatial Statistics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-03-01 to 2025-03-01.)
ArticleCitations
Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics54
Computationally efficient localised spatial smoothing of disease rates using anisotropic basis functions and penalised regression fitting51
A criterion and incremental design construction for simultaneous kriging predictions49
Spatio-temporal small area surveillance of the COVID-19 pandemic46
A new class of α-transformations for the spatial analysis of Compo43
Mapping the short-term exposure–response relationships between environmental factors and health outcomes and identifying the causes of heterogeneity: A multivariate-conditional-meta-autoregression-bas37
Discriminant analysis of environmental data based on zero inflated spatial auto-beta models34
A mixed sampling strategy for partially geo-referenced finite populations28
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution28
Population-weighted exposure to air pollution and COVID-19 incidence in Germany26
Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic25
A multi-site stochastic weather generator for high-frequency precipitation using censored skew-symmetric distribution24
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 prediction23
Testing global and local dependence of point patterns on covariates in parametric models22
Bivariate Matérn covariances with cross-dimple for modeling coregionalized variables18
Deformed SPDE models with an application to spatial modeling of significant wave height18
On the importance of thinking locally for statistics and society18
Comparing eight remotely sensed sea surface temperature products and Bayesian maximum entropy-based data fusion products17
A K-function for inhomogeneous random measures with geometric featu17
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data16
Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data16
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions14
Quasi-likelihood for multivariate spatial point processes with semiparametric intensity functions14
A Bayesian nonparametric spatial model with covariate-dependent joint weights13
Spherical Poisson point process intensity function modeling and estimation with measure transport13
Bayesian surface regression versus spatial spectral nonparametric curve regression13
Spatial linear discriminant analysis approaches for remote-sensing classification12
A two-stage Cox process model with spatial and nonspatial covariates12
Copula-based multiple indicator kriging for non-Gaussian random fields11
Deep graphical regression for jointly moderate and extreme Australian wildfires11
Surface time series models for large spatio-temporal datasets11
Feasibility of Monte-Carlo maximum likelihood for fitting spatial log-Gaussian Cox processes10
Spatio-temporal mapping of stunting and wasting in Nigerian children: A bivariate mixture modeling10
Generalised hyperbolic state space models with application to spatio-temporal heat wave prediction9
A flexible class of priors for orthonormal matrices with basis function-specific structure9
Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods9
A Poisson cokriging method for bivariate count data9
Graph convolutional networks for spatial interpolation of correlated data9
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients9
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 contagion8
Semi-parametric resampling with extremes8
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines8
A flexible likelihood-based neural network extension of the classic spatio-temporal model8
Spatial statistics and stochastic partial differential equations: A mechanistic viewpoint8
A more accurate estimation with kernel machine for nonparametric spatial lag models8
Constructing large nonstationary spatio-temporal covariance models via compositional warpings8
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting8
Estimating confidence intervals for spatial hierarchical mixed-effects models with post-stratification8
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model8
Spatial modeling for the distribution of species in plant communities8
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia8
Imputed spatial data: Cautions arising from response and covariate imputation measurement error8
Conditional modelling of spatio-temporal extremes for Red Sea surface temperatures7
Distribution-free regression model selection with a nested spatial correlation structure7
Use of fractals to measure anisotropy in point patterns extracted with the DPT of an image7
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers7
Understanding the effects of dichotomization of continuous outcomes on geostatistical inference7
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries7
Nonparametric spatiotemporal analysis of violent crime. A case study in the Rio de Janeiro metropolitan area7
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland7
The impact of spatial statistics in Africa7
A spatio-temporal model for temporal evolution of spatial extremal dependence7
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor6
Modeling accident risk at the road level through zero-inflated negative binomial models: A case study of multiple road networks6
A parametric specification test for linear spatial autoregressive models6
Robust second-order stationary spatial blind source separation using generalized sign matrices6
Higher-dimensional spatial extremes via single-site conditioning6
Fused spatial point process intensity estimation with varying coefficients on complex constrained domains6
Probabilistic Context Neighborhood model for lattices6
Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires6
Measurement error-filtered machine learning in digital soil mapping6
Copula-Based Data-Driven Multiple-Point Simulation Method6
Bayesian inference for big spatial data using non-stationary spectral simulation6
Estimation and inference of multi-effect generalized geographically and temporally weighted regression models6
Effects of geographically stratified random sampling initial solutions on solving a continuous surface p-median location problem using the ALTERN heuristic5
A multivariate spatial and spatiotemporal ARCH Model5
Ordered conditional approximation of Potts models5
Correlation-based hierarchical clustering of time series with spatial constraints5
Model-assisted estimation of forest attributes exploiting remote sensing information to handle spatial under-coverage5
Using spatial ordinal patterns for non-parametric testing of spatial dependence5
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 connections5
Spatially varying anisotropy for Gaussian random fields in three-dimensional space5
Modeling left-censored skewed spatial processes: The case of arsenic drinking water contamination5
A selective view of climatological data and likelihood estimation5
WITHDRAWN: Editorial: Spatio-temporal dynamics of Covid5
Impacts of spatial imputation on location-allocation problem solutions5
Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss5
Summary statistics for spatio-temporal point processes on linear networks5
Tests for isotropy in spatial point patterns – A comparison of statistical indices5
Flexible modeling of multivariate spatial extremes5
Causal inference in spatial statistics5
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity5
Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data5
General spatial model meets adaptive shrinkage generalized moment estimation: Simultaneous model and moment selection5
Using neural networks to estimate parameters in spatial point process models5
Generalized mixed spatio-temporal modeling: Random effect via factor analysis with nonlinear interaction for cluster detection5
SciKit-GStat Uncertainty: A software extension to cope with uncertain geostatistical estimates4
Mesoscopic laddering in consumer behaviour: Analysing the modalities of consumption on a micro-individual scale in the Meeting, Incentive, Conference, Exhibitions (MICE) sector4
Estimating the growth rate of infection during the early phase of a pandemic like COVID-194
Geostatistical prediction through convex combination of Archimedean copulas4
Which parameterization of the Matérn covariance function?4
An optimised rabies vaccination schedule for rural settlements4
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown4
Editorial: Spatio-temporal dynamics of Covid4
Modeling spatial correlation that grows on trees, with a stream network application4
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment4
Detecting spatial clusters in functional data: New scan statistic approaches4
Semiparametric regression for spatial data via deep learning4
Softening the criteria for determining inner and outer predicted exceedance sets4
A flexible special case of the CSN for spatial modeling and prediction4
Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata4
A zero-dose vulnerability index for equity assessment and spatial prioritization in low- and middle-income countries4
Time varying complex covariance functions for oceanographic data4
A convolution type model for the intensity of spatial point processes applied to eye-movement data4
Facing spatial massive data in science and society: Variable selection for spatial models4
Fuzzy clustering of mixed data with spatial regularization4
Robust interaction detector: A case of road life expectancy analysis4
The SPDE approach for spatio-temporal datasets with advection and diffusion3
Information criteria for matrix exponential spatial specifications3
Joint simulation through orthogonal factors generated by the L-SHADE optimization method3
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem3
Spatial kriging for replicated temporal point processes3
Introduction to the special issue Towards Spatial Data Science3
A heterogeneous Bayesian regression model for skewed spatial data3
A Markov chain model for geographical accessibility3
Identification of dominant features in spatial data3
Geo-additive mixed model with variable selection using the adaptive elastic net to handle nonresponse in official rice productivity survey3
Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain3
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy3
Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm3
Dimension reduction for spatial regression: Spatial predictor envelope3
Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data3
Editorial: The impact of spatial statistics3
Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia3
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities3
Spatio-temporal clustering: Neighbourhoods based on median seasonal entropy3
Analysing point patterns on networks — A review3
The (in)stability of Bayesian model selection criteria in disease mapping3
Spatial modelling of Lexis mortality data3
Incremental transfer learning for spatial autoregressive model with linear constraints3
Space, uncertainty, and the environment: honoring the distinguished career of Noel Cressie3
Preferential sampling for bivariate spatial data3
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico3
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models3
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England3
Mapping road traffic crash hotspots using GIS-based methods: A case study of Muscat Governorate in the Sultanate of Oman3
Spatial statistics and soil mapping: A blossoming partnership under pressure3
Addressing uncertainty in census estimates2
Rapid outlier detection, model selection and variable selection using penalized likelihood estimation for general spatial models2
Bayesian spatio-temporal statistical modeling of violent-related fatality in western and central Africa2
Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect2
Spatial Smoothing Using Graph Laplacian Penalized Filter2
Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation2
Bayesian spatial modeling using random Fourier frequencies2
Covariate-dependent spatio-temporal covariance models2
Second-order smoothness prior over the Delaunay Tessellation in Bayesian geophysical inversion2
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants2
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach2
Directional spatial autoregressive dependence in the conditional first- and second-order moments2
A different type of Burr distribution applying to hydro-meteorological data2
Spatially penalized registration of multivariate functional data2
The spatial–temporal variation of poverty determinants2
Shape-restricted estimation and spatial clustering of COVID-19 infection rate curves2
Concept-driven extraction of the Antarctic marginal sea ice zone from remote sensing image time series2
Spatially clustered regression2
Source reconstruction for spatio-temporal physical statistical models2
Estimating spatial regression models with sample data-points: A Gibbs sampler solution2
Geographically Weighted Zero-Inflated Negative Binomial Regression: A general case for count data2
Fuzzy clustering of spatial interval-valued data2
A log-additive neural model for spatio-temporal prediction of groundwater levels2
A zero-inflated mixture spatially varying coefficient modeling of cholera incidences2
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index2
A spatial panel autoregressive model specification with inverse quantile separation distances of locations2
Nonparametric spatial autoregressive model using deep neural networks2
Sampling strategies for proportion and rate estimation in a spatially correlated population2
A Bayesian spatial–temporal model for predicting passengers occupancy at Beijing Metro2
Deep learning and spatial statistics2
Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate2
A hypothesis test for detecting spatial patterns in categorical areal data2
Self-correlated spatial random variables: From an auto- to a sui- model respecification2
On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes2
Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations2
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