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 2020-11-01 to 2024-11-01.)

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
Bayesian nonparametric nonhomogeneous Poisson process with applications to USGS earthquake data	9
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
Spatial robust fuzzy clustering of COVID 19 time series based on B-splines	8
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
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
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
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
Spatial sampling, data models, spatial scale and ontologies: Interpreting spatial statistics and machine learning applied to satellite optical remote sensing	5

Unemployment estimation: Spatial point referenced methods and models	5
Joint simulation through orthogonal factors generated by the L-SHADE optimization method	5
Spatial aggregation with respect to a population distribution: Impact on inference	5
Adaptive smoothing to identify spatial structure in global lake ecological processes using satellite remote sensing data	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
Filtering spatial point patterns using kernel densities	5
Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain	5
A linear mixed model formulation for spatio-temporal random processes with computational advances for the product, sum, and product–sum covariance functions	5
Bayesian negative binomial regression with spatially varying dispersion: Modeling COVID-19 incidence in Georgia	5
Multi-source geographically weighted regression for regionalized ground-motion models	5
Introducing bootstrap test technique to identify spatial heterogeneity in geographically and temporally weighted regression models	5
Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers	5
A unified geographically weighted regression model	5
Influence diagnostics on a reparameterized t-Student spatial linear model	5
A spatial concordance correlation coefficient with an application to image analysis	5
Assessment of Spatio-temporal Climatological trends of ozone over the Indian region using Machine Learning	5
Non-stationary spatial regression for modelling monthly precipitation in Germany	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