OOIR: Observatory of International Research

Papers

(The TQCC of Spatial Statistics is 5. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Determining the spatial effects of COVID-19 using the spatial panel data model	107
Analysing point patterns on networks — A review	40
Using multiple linear regression and random forests to identify spatial poverty determinants in rural China	38
The Spillover Effects of Institutional Quality and Economic Openness on Economic Growth for the Belt and Road Initiative (BRI) countries	36
The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running	35
Spatial statistics and soil mapping: A blossoming partnership under pressure	32
Mapping road traffic crash hotspots using GIS-based methods: A case study of Muscat Governorate in the Sultanate of Oman	32
Population-weighted exposure to air pollution and COVID-19 incidence in Germany	28
On the measurement of bias in geographically weighted regression models	28
Deep integro-difference equation models for spatio-temporal forecasting	26
Maximum likelihood estimation of spatially varying coefficient models for large data with an application to real estate price prediction	26
Point-process based Bayesian modeling of space–time structures of forest fire occurrences in Mediterranean France	22
Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway	22
Prediction of intensity and location of seismic events using deep learning	22
Demography and Crime: A Spatial analysis of geographical patterns and risk factors of Crimes in Nigeria	20
Spatio-temporal modelling of COVID-19 incident cases using Richards’ curve: An application to the Italian regions	18
Stochastic local interaction model with sparse precision matrix for space–time interpolation	17
Nonstationary cross-covariance functions for multivariate spatio-temporal random fields	17
Bayesian disease mapping: Past, present, and future	16
Higher-dimensional spatial extremes via single-site conditioning	15
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland	15
Conditional modelling of spatio-temporal extremes for Red Sea surface temperatures	14
A class of spatially correlated self-exciting statistical models	14
Endemic–epidemic models to understand COVID-19 spatio-temporal evolution	14
Scalable Bayesian modelling for smoothing disease risks in large spatial data sets using INLA	14

Application of improved Moran’s I in the evaluation of urban spatial development	13
Parametric families for complex valued covariance functions: Some results, an overview and critical aspects	12
Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England	12
Application of Bayesian spatial-temporal models for estimating unrecognized COVID-19 deaths in the United States	11
Spatio-temporal point patterns on linear networks: Pseudo-separable intensity estimation	11
Spatial autocorrelation informed approaches to solving location–allocation problems	11
Spatiotemporal variable selection and air quality impact assessment of COVID-19 lockdown	11
A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence	11
Measurement error-filtered machine learning in digital soil mapping	11
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes	10
On the importance of thinking locally for statistics and society	9
Spatial-temporal generalized additive model for modeling COVID-19 mortality risk in Toronto, Canada	9
Deformed SPDE models with an application to spatial modeling of significant wave height	9
Imputed spatial data: Cautions arising from response and covariate imputation measurement error	9
Efficiency assessment of approximated spatial predictions for large datasets	8
Animal movement models with mechanistic selection functions	8
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	8
Families of covariance functions for bivariate random fields on spheres	8
Modeling massive spatial datasets using a conjugate Bayesian linear modeling framework	8
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe	8
Spatially clustered regression	8
Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate	8
A perceptron for detecting the preferential sampling of locations and times chosen to monitor a spatio-temporal process	7
Bayesian nonparametric nonhomogeneous Poisson process with applications to USGS earthquake data	7
Modeling accident risk at the road level through zero-inflated negative binomial models: A case study of multiple road networks	7
Introducing covariate dependent weighting matrices in fitting autoregressive models and measuring spatio-environmental autocorrelation	7
Bayesian Physics Informed Neural Networks for data assimilation and spatio-temporal modelling of wildfires	7
Geostatistical prediction through convex combination of Archimedean copulas	7
Modeling spatio-temporal complex covariance functions for vectorial data	7
Combining school-catchment area models with geostatistical models for analysing school survey data from low-resource settings: Inferential benefits and limitations	7
Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity	7
Community mobility in the European regions during COVID-19 pandemic: A partitioning around medoids with noise cluster based on space–time autoregressive models	6
Information and complexity analysis of spatial data	6
The spatial–temporal variation of poverty determinants	6
Flexible spatial covariance functions	6
A spatio-temporal multi-scale model for Geyer saturation point process: Application to forest fire occurrences	6
Capturing spatial dependence of COVID-19 case counts with cellphone mobility data	6
Using echo state networks to inform physical models for fire front propagation	6
Revisiting the random shift approach for testing in spatial statistics	6
An interaction Neyman–Scott point process model for coronavirus disease-19	6
Identifying spatial patterns with the Bootstrap ClustGeo technique	5
Fully nonseparable Gneiting covariance functions for multivariate space–time data	5
Multiple change point estimation of trends in Covid-19 infections and deaths in India as compared with WHO regions	5
Hierarchical Bayesian nearest neighbor co-kriging Gaussian process models; an application to intersatellite calibration	5
Sustainability of mining activities in the European Mediterranean region in terms of a spatial groundwater stress index	5
Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain	5
Identification of dominant features in spatial data	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
Assessment of Spatio-temporal Climatological trends of ozone over the Indian region using Machine Learning	5

Blind source separation for non-stationary random fields	5
Decisions, uncertainty and spatial information	5
Fundamental problems in fitting spatial cluster process models	5
Joint simulation through orthogonal factors generated by the L-SHADE optimization method	5
Causal inference in spatial statistics	5
Nonparametric spatiotemporal analysis of violent crime. A case study in the Rio de Janeiro metropolitan area	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
Assessing local differences between the spatio-temporal second-order structure of two point patterns occurring on the same linear network	5
Non-stationary spatial regression for modelling monthly precipitation in Germany	5
Unemployment estimation: Spatial point referenced methods and models	5
A D-vine copula-based quantile regression model with spatial dependence for COVID-19 infection rate in Italy	5
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers	5