Spatial Statistics

Article	Citations
Analysing point patterns on networks — A review	46
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	44
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	43
Using multiple linear regression and random forests to identify spatial poverty determinants in rural China	42
Spatial statistics and soil mapping: A blossoming partnership under pressure	41
Mapping road traffic crash hotspots using GIS-based methods: A case study of Muscat Governorate in the Sultanate of Oman	36
Maximum likelihood estimation of spatially varying coefficient models for large data with an application to real estate price prediction	31
Population-weighted exposure to air pollution and COVID-19 incidence in Germany	28
Prediction of intensity and location of seismic events using deep learning	26
Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway	25
Point-process based Bayesian modeling of space–time structures of forest fire occurrences in Mediterranean France	24
Application of improved Moran’s I in the evaluation of urban spatial development	24
Demography and Crime: A Spatial analysis of geographical patterns and risk factors of Crimes in Nigeria	22
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	20
Bayesian disease mapping: Past, present, and future	20
Higher-dimensional spatial extremes via single-site conditioning	19
Stochastic local interaction model with sparse precision matrix for space–time interpolation	18
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	17
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	17
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	16
Scalable Bayesian modelling for smoothing disease risks in large spatial data sets using INLA	16
Measurement error-filtered machine learning in digital soil mapping	16
Conditional modelling of spatio-temporal extremes for Red Sea surface temperatures	15
A class of spatially correlated self-exciting statistical models	15
Application of Bayesian spatial-temporal models for estimating unrecognized COVID-19 deaths in the United States	13

On the importance of thinking locally for statistics and society	13
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	13
Spatial autocorrelation informed approaches to solving location–allocation problems	11
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	11
Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires	10
Deep graphical regression for jointly moderate and extreme Australian wildfires	10
Spatial-temporal generalized additive model for modeling COVID-19 mortality risk in Toronto, Canada	10
Deformed SPDE models with an application to spatial modeling of significant wave height	10
Geostatistical prediction through convex combination of Archimedean copulas	9
Revisiting the random shift approach for testing in spatial statistics	9
Families of covariance functions for bivariate random fields on spheres	9
Imputed spatial data: Cautions arising from response and covariate imputation measurement error	9
Uncovering drivers of community-level house price dynamics through multiscale geographically weighted regression: A case study of Wuhan, China	9
Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate	9
Bayesian nonparametric nonhomogeneous Poisson process with applications to USGS earthquake data	9
Fully nonseparable Gneiting covariance functions for multivariate space–time data	8
A perceptron for detecting the preferential sampling of locations and times chosen to monitor a spatio-temporal process	8
Detecting spatial clusters in functional data: New scan statistic approaches	8
Detection of spatial heterogeneity based on spatial autoregressive varying coefficient models	8
Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations	8
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	8
Modeling spatio-temporal complex covariance functions for vectorial data	8
Efficiency assessment of approximated spatial predictions for large datasets	8
Spatially clustered regression	8
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	8
Blind source separation for non-stationary random fields	7
The spatial–temporal variation of poverty determinants	7
Modeling accident risk at the road level through zero-inflated negative binomial models: A case study of multiple road networks	7
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	7
An interaction Neyman–Scott point process model for coronavirus disease-19	7
Identification of dominant features in spatial data	7
Nonparametric spatiotemporal analysis of violent crime. A case study in the Rio de Janeiro metropolitan area	7
Using echo state networks to inform physical models for fire front propagation	7
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	7
Causal inference in spatial statistics	7
Information and complexity analysis of spatial data	6
Adaptively robust geographically weighted regression	6
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	6
Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model	6
Decisions, uncertainty and spatial information	6
Fundamental problems in fitting spatial cluster process models	6
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	6
Community mobility in the European regions during COVID-19 pandemic: A partitioning around medoids with noise cluster based on space–time autoregressive models	6
Assessing local differences between the spatio-temporal second-order structure of two point patterns occurring on the same linear network	6
Hierarchical Bayesian nearest neighbor co-kriging Gaussian process models; an application to intersatellite calibration	6
A spatio-temporal multi-scale model for Geyer saturation point process: Application to forest fire occurrences	6
TheF-family of covariance functions: A Matérn	6
Spatio-temporal DeepKriging for interpolation and probabilistic forecasting	6
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	6
Assessment of Spatio-temporal Climatological trends of ozone over the Indian region using Machine Learning	5

Spatial sampling, data models, spatial scale and ontologies: Interpreting spatial statistics and machine learning applied to satellite optical remote sensing	5
Non-stationary spatial regression for modelling monthly precipitation in Germany	5
Unemployment estimation: Spatial point referenced methods and models	5
Joint simulation through orthogonal factors generated by the L-SHADE optimization method	5
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	5
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?	5
Spatial aggregation with respect to a population distribution: Impact on inference	5
Filtering spatial point patterns using kernel densities	5
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	5
Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain	5
Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia	5
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers	5
A linear mixed model formulation for spatio-temporal random processes with computational advances for the product, sum, and product–sum covariance functions	5
A unified geographically weighted regression model	5
Multi-source geographically weighted regression for regionalized ground-motion models	5
Influence diagnostics on a reparameterized t-Student spatial linear model	5
Introducing bootstrap test technique to identify spatial heterogeneity in geographically and temporally weighted regression models	5
A spatial concordance correlation coefficient with an application to image analysis	5
Understanding the effects of dichotomization of continuous outcomes on geostatistical inference	5
A deep learning synthetic likelihood approximation of a non-stationary spatial model for extreme streamflow forecasting	5
Semiparametric regression for spatial data via deep learning	4
Comparing eight remotely sensed sea surface temperature products and Bayesian maximum entropy-based data fusion products	4
Bivariate Matérn covariances with cross-dimple for modeling coregionalized variables	4
Spatial clustering behaviour of Covid-19 conditioned by the development level: Case study for the administrative units in Romania	4
Testing for complete spatial randomness on three dimensional bounded convex shapes	4
Spatial point processes and neural networks: A convenient couple	4
Directional spatial autoregressive dependence in the conditional first- and second-order moments	4
The (in)stability of Bayesian model selection criteria in disease mapping	4
Bayesian inference for big spatial data using non-stationary spectral simulation	4
Determination of the best weight matrix for the Generalized Space Time Autoregressive (GSTAR) model in the Covid-19 case on Java Island, Indonesia	4
Spatio-temporal small area surveillance of the COVID-19 pandemic	4
Parametric and nonparametric conditional quantile regression modeling for dependent spatial functional data	4
Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting	4
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	4
Flexible spatio-temporal Hawkes process models for earthquake occurrences	4
Robust interaction detector: A case of road life expectancy analysis	4
Spatio-temporal clustering: Neighbourhoods based on median seasonal entropy	4
A selective view of climatological data and likelihood estimation	4
Semi-parametric resampling with extremes	4
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data	4
Dynamic multiscale spatiotemporal models for multivariate Gaussian data	4
Spatio-temporal modeling of an environmental trivariate vector combining air and soil measurements from Ireland	4
Extra-parametrized extreme value copula : Extension to a spatial framework	4
Geographically Weighted Zero-Inflated Negative Binomial Regression: A general case for count data	4
Some links between conditional and coregionalized multivariate Gaussian Markov random fields	3
Deep learning for the spatial additive autoregressive model with nonparametric endogenous effect	3
Correlation-based hierarchical clustering of time series with spatial constraints	3
Spatial modeling for the distribution of species in plant communities	3
Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic	3
Spherical Poisson point process intensity function modeling and estimation with measure transport	3
Testing for significant differences between two spatial patterns using covariates	3
Modelling Nonstationary Spatial Lag Models with Hidden Markov Random Fields	3
A spatial panel autoregressive model specification with inverse quantile separation distances of locations	3
Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread	3
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities	3
Spatial Smoothing Using Graph Laplacian Penalized Filter	3
Time varying complex covariance functions for oceanographic data	3
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	3
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	3
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	3
Deep hierarchical generalized transformation models for spatio-temporal data with discrepancy errors	3
Dynamic ICAR Spatiotemporal Factor Models	3
A novel method for socioeconomic data spatialization	3
A log-additive neural model for spatio-temporal prediction of groundwater levels	3
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models	3
Deep learning and spatial statistics	3
A flexible special case of the CSN for spatial modeling and prediction	3
Spatial statistics and stochastic partial differential equations: A mechanistic viewpoint	3
A multi-site stochastic weather generator for high-frequency precipitation using censored skew-symmetric distribution	3
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	3
A sandwich smoother for spatio-temporal functional data	3
Spatially dependent mixture models via the logistic multivariate CAR prior	3
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants	3
Fuzzy clustering of spatial interval-valued data	3
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	3
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	2
Facing spatial massive data in science and society: Variable selection for spatial models	2
Data fusion of distance sampling and capture-recapture data	2
Distribution-free regression model selection with a nested spatial correlation structure	2
Testing global and local dependence of point patterns on covariates in parametric models	2

Copula-based multiple indicator kriging for non-Gaussian random fields	2
A new class of α-transformations for the spatial analysis of Compo	2
Variograms for kriging and clustering of spatial functional data with phase variation	2
A comparison of model validation approaches for echo state networks using climate model replicates	2
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	2
Nonparametric bootstrap approach for unconditional risk mapping under heteroscedasticity	2
Generalized mixed spatio-temporal modeling: Random effect via factor analysis with nonlinear interaction for cluster detection	2
Geostatistical capture–recapture models	2
Modeling spatial correlation that grows on trees, with a stream network application	2
A Poisson cokriging method for bivariate count data	2
A more accurate estimation with kernel machine for nonparametric spatial lag models	2
Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data	2
Spatial modeling of repeated events with an application to disease mapping	2
A zero-inflated mixture spatially varying coefficient modeling of cholera incidences	2
Preferential sampling for bivariate spatial data	2
Sampling strategies for proportion and rate estimation in a spatially correlated population	2
Spatially varying coefficient models using reduced-rank thin-plate splines	2
Model-assisted estimation of forest attributes exploiting remote sensing information to handle spatial under-coverage	2
Joint estimation of extreme spatially aggregated precipitation at different scales through mixture modelling	2
Mesoscopic laddering in consumer behaviour: Analysing the modalities of consumption on a micro-individual scale in the Meeting, Incentive, Conference, Exhibitions (MICE) sector	2
Surface time series models for large spatio-temporal datasets	2
Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model	2
Testing biodiversity using inhomogeneous summary statistics and global envelope tests	2
Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach	2
Spatial modelling of Lexis mortality data	2