Spatial Statistics

Article	Citations
Determining the spatial effects of COVID-19 using the spatial panel data model	106
Using multiple linear regression and random forests to identify spatial poverty determinants in rural China	35
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	34
Analysing point patterns on networks — A review	33
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	32
Spatial statistics and soil mapping: A blossoming partnership under pressure	30
Mapping road traffic crash hotspots using GIS-based methods: A case study of Muscat Governorate in the Sultanate of Oman	29
On the measurement of bias in geographically weighted regression models	27
Population-weighted exposure to air pollution and COVID-19 incidence in Germany	27
Maximum likelihood estimation of spatially varying coefficient models for large data with an application to real estate price prediction	24
Deep integro-difference equation models for spatio-temporal forecasting	24
Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway	21
Prediction of intensity and location of seismic events using deep learning	21
Point-process based Bayesian modeling of space–time structures of forest fire occurrences in Mediterranean France	20
Demography and Crime: A Spatial analysis of geographical patterns and risk factors of Crimes in Nigeria	17
A spatio-temporal Bayesian Network approach for deforestation prediction in an Amazon rainforest expansion frontier	17
Nonstationary cross-covariance functions for multivariate spatio-temporal random fields	17
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	17
Stochastic local interaction model with sparse precision matrix for space–time interpolation	17
A robust hierarchical clustering for georeferenced data	15
A mechanistic–statistical species distribution model to explain and forecast wolf (Canis lupus) colonization in South-Eastern France	15
Bayesian disease mapping: Past, present, and future	14
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	14
Higher-dimensional spatial extremes via single-site conditioning	14
Conditional modelling of spatio-temporal extremes for Red Sea surface temperatures	14

Scalable Bayesian modelling for smoothing disease risks in large spatial data sets using INLA	13
Distance metrics for data interpolation over large areas on Earth’s surface	13
A class of spatially correlated self-exciting statistical models	13
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	13
Parametric families for complex valued covariance functions: Some results, an overview and critical aspects	12
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	12
Application of Bayesian spatial-temporal models for estimating unrecognized COVID-19 deaths in the United States	11
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	11
Spatial autocorrelation informed approaches to solving location–allocation problems	10
Measurement error-filtered machine learning in digital soil mapping	10
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	10
Modeling big spatio-temporal geo-hazards data for forecasting by error-correction cointegration and dimension-reduction	10
Imputed spatial data: Cautions arising from response and covariate imputation measurement error	9
Application of improved Moran’s I in the evaluation of urban spatial development	9
Deformed SPDE models with an application to spatial modeling of significant wave height	9
A hierarchical bi-resolution spatial skew-t model	9
Efficiency assessment of approximated spatial predictions for large datasets	8
Animal movement models with mechanistic selection functions	8
Modeling massive spatial datasets using a conjugate Bayesian linear modeling framework	8
Spatio-temporal point patterns on linear networks: Pseudo-separable intensity estimation	8
Spatial-temporal generalized additive model for modeling COVID-19 mortality risk in Toronto, Canada	8
Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate	8
On the importance of thinking locally for statistics and society	8
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	8
Families of covariance functions for bivariate random fields on spheres	8
Spatially clustered regression	8
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	8
Poisson cokriging as a generalized linear mixed model	7
Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations	7
Modeling accident risk at the road level through zero-inflated negative binomial models: A case study of multiple road networks	7
Modeling spatio-temporal complex covariance functions for vectorial data	7
Introducing covariate dependent weighting matrices in fitting autoregressive models and measuring spatio-environmental autocorrelation	7
Bayesian nonparametric nonhomogeneous Poisson process with applications to USGS earthquake data	7
Geostatistical prediction through convex combination of Archimedean copulas	7
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes	7
Structured additive distributional zero augmented beta regression modeling of mortality in Nigeria	7
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	7
A perceptron for detecting the preferential sampling of locations and times chosen to monitor a spatio-temporal process	6
Design-based consistency of the Horvitz–Thompson estimator under spatial sampling with applications to environmental surveys	6
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	6
Flexible spatial covariance functions	6
Information and complexity analysis of spatial data	6
Bayesian model based spatiotemporal survey designs and partially observed log Gaussian Cox process	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
An interaction Neyman–Scott point process model for coronavirus disease-19	6
The spatial–temporal variation of poverty determinants	6
Fully nonseparable Gneiting covariance functions for multivariate space–time data	5
Assessing local differences between the spatio-temporal second-order structure of two point patterns occurring on the same linear network	5
Blind source separation for non-stationary random fields	5
Identification of dominant features in spatial data	5

Nonparametric spatiotemporal analysis of violent crime. A case study in the Rio de Janeiro metropolitan area	5
Revisiting the random shift approach for testing in spatial statistics	5
Using echo state networks to inform physical models for fire front propagation	5
Hierarchical Bayesian nearest neighbor co-kriging Gaussian process models; an application to intersatellite calibration	5
A spatio-temporal multi-scale model for Geyer saturation point process: Application to forest fire occurrences	5
Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires	5
Identifying spatial patterns with the Bootstrap ClustGeo technique	5
Spatial aggregation with respect to a population distribution: Impact on inference	5
Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model	5
Decisions, uncertainty and spatial information	5
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	5
An investigation of atmospheric temperature and pressure using an improved spatio-temporal Kriging model for sensing GNSS-derived precipitable water vapor	5
TheF-family of covariance functions: A Matérn	5
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data	4
Non-stationary spatial regression for modelling monthly precipitation in Germany	4
Spatio-temporal modeling of an environmental trivariate vector combining air and soil measurements from Ireland	4
A regularized spatial market segmentation method with Dirichlet process—Gaussian mixture prior	4
Spatiotemporal multi-resolution approximations for analyzing global environmental data	4
Spatial sampling, data models, spatial scale and ontologies: Interpreting spatial statistics and machine learning applied to satellite optical remote sensing	4
A selective view of climatological data and likelihood estimation	4
Time varying complex covariance functions for oceanographic data	4
Geostatistical methods for modelling non-stationary patterns in disease risk	4
Assessment of Spatio-temporal Climatological trends of ozone over the Indian region using Machine Learning	4
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data	4
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	4
Influence diagnostics on a reparameterized t-Student spatial linear model	4
Filtering spatial point patterns using kernel densities	4
A spatial concordance correlation coefficient with an application to image analysis	4
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers	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
A linear mixed model formulation for spatio-temporal random processes with computational advances for the product, sum, and product–sum covariance functions	4
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	4
Fundamental problems in fitting spatial cluster process models	4
Unemployment estimation: Spatial point referenced methods and models	4
Extra-parametrized extreme value copula : Extension to a spatial framework	4
Joint simulation through orthogonal factors generated by the L-SHADE optimization method	4
Causal inference in spatial statistics	4
Comparison of spatial linear mixed models for ecological data based on the correct classification rates	4
Dynamic multiscale spatiotemporal models for multivariate Gaussian data	3
Testing for complete spatial randomness on three dimensional bounded convex shapes	3
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	3
Directional spatial autoregressive dependence in the conditional first- and second-order moments	3
Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia	3
Modeling infectious disease dynamics: Integrating contact tracing-based stochastic compartment and spatio-temporal risk models	3
Bayesian inference for big spatial data using non-stationary spectral simulation	3
Spherical Poisson point process intensity function modeling and estimation with measure transport	3
Nearly Ds-optimal assigned location design for a linear model with spatially varying coefficients	3
Spatially dependent mixture models via the logistic multivariate CAR prior	3
Bivariate Matérn covariances with cross-dimple for modeling coregionalized variables	3
Introducing bootstrap test technique to identify spatial heterogeneity in geographically and temporally weighted regression models	3
Sequential process to choose efficient sampling design based on partial prior information data and simulations	3
Multi-source geographically weighted regression for regionalized ground-motion models	3
Modelling Nonstationary Spatial Lag Models with Hidden Markov Random Fields	3
Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread	3
Collective spectral density estimation and clustering for spatially-correlated data	3
Spatio-temporal clustering: Neighbourhoods based on median seasonal entropy	3
Some links between conditional and coregionalized multivariate Gaussian Markov random fields	3
Bayesian modeling and decision theory for non-homogeneous Poisson point processes	3
Deep graphical regression for jointly moderate and extreme Australian wildfires	3
Bayesian estimation of spatial filters with Moran’s eigenvectors and hierarchical shrinkage priors	3
Semi-parametric resampling with extremes	3
Spatial clustering behaviour of Covid-19 conditioned by the development level: Case study for the administrative units in Romania	3
Developments in statistical inference when assessing spatiotemporal disease clustering with the tau statistic	3
Zero-inflated Bell scan: A more flexible spatial scan statistic	3
Spatial point processes and neural networks: A convenient couple	3
Statistical challenges in spatial analysis of plant ecology data	3
A log-additive neural model for spatio-temporal prediction of groundwater levels	3
Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain	3
The (in)stability of Bayesian model selection criteria in disease mapping	3
Interacting cluster point process model for epidermal nerve fibers	3
Detecting spatial clusters in functional data: New scan statistic approaches	3
Optimally weighted L2<	3
Testing for significant differences between two spatial patterns using covariates	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
Detection of spatial heterogeneity based on spatial autoregressive varying coefficient models	3
Second order analysis of geometric anisotropic point processes revisited	3
Nonparametric bootstrap approach for unconditional risk mapping under heteroscedasticity	2
The killing fields. A Bayesian analysis of crop eradication and organized crime violence in Mexico	2
Kernel mean embedding based hypothesis tests for comparing spatial point patterns	2

A flexible special case of the CSN for spatial modeling and prediction	2
A unified geographically weighted regression model	2
Modeling spatial correlation that grows on trees, with a stream network application	2
A spatial panel autoregressive model specification with inverse quantile separation distances of locations	2
Modelling spine locations on dendrite trees using inhomogeneous Cox point processes	2
A novel method for socioeconomic data spatialization	2
Problem-driven spatio-temporal analysis and implications for postgraduate statistics teaching	2
A multi-site stochastic weather generator for high-frequency precipitation using censored skew-symmetric distribution	2
Compositionally-warped additive mixed modeling for a wide variety of non-Gaussian spatial data	2
Estimating spatial regression models with sample data-points: A Gibbs sampler solution	2
A look at the spatio-temporal mortality patterns in Italy during the COVID-19 pandemic through the lens of mortality densities	2
Discovering significant situational profiles of crime occurrence by modeling complex spatial interactions	2
Spatial modeling of repeated events with an application to disease mapping	2
Multiresolution spatial generalized linear mixed model for integrating multi-fidelity spatial count data without common identifiers between data sources	2
Adaptively robust geographically weighted regression	2
Facing spatial massive data in science and society: Variable selection for spatial models	2
A zero-inflated mixture spatially varying coefficient modeling of cholera incidences	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
A Bayesian shared-effects modeling framework to quantify the modifiable areal unit problem	2
Constructing large nonstationary spatio-temporal covariance models via compositional warpings	2
Spatial statistics and stochastic partial differential equations: A mechanistic viewpoint	2
Great expectations and even greater exceedances from spatially referenced 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
Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment	2
Mapping occupational health risk factors in the primary sector—A novel supervised machine learning and Area-to-Point Poisson kriging approach	2
Heteroskedastic geographically weighted regression model for functional data	2
Fuzzy clustering of spatial interval-valued data	2
Understanding the effects of dichotomization of continuous outcomes on geostatistical inference	2
Geospatial constrained optimization to simulate and predict spatiotemporal trends of air pollutants	2
Approximately optimal spatial design: How good is it?	2
A heterogeneous Bayesian regression model for skewed spatial data	2
Copula-based multiple indicator kriging for non-Gaussian random fields	2
Comparing eight remotely sensed sea surface temperature products and Bayesian maximum entropy-based data fusion products	2