Geographical Analysis

Papers
(The median citation count of Geographical Analysis is 1. 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
An Integrative Spatial Framework and Co‐Design Toolkit to Measure and Visualize Multidimensional Poverty in the United States136
Recursive Estimation of the Spatial Error Model57
Issue Information35
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Reproducible Science Is Vital for a Stronger Evidence Base During the COVID‐19 Pandemic26
Testing Transferability: Quantitative Evaluation of Labor Market Area Definition Methods in Three Contrasting Countries21
Impacts of improved transport on regional market access20
Analyzing the Factors that Affect and Predict Employment Density Using Spatial Machine Learning: The Case Study of Seoul, South Korea19
Valeriepieris Circles for Spatial Data Analysis19
An Efficient Solving Approach for the p‐Dispersion Problem Based on the Distance‐Based Spatially Informed Property16
Flow Spatiotemporal Moran's I: Measuring the Spatiotemporal Autocorrelation of Flow Data15
Uncovering Representation Bias in Large‐scale Cellular Phone‐based Data: A Case Study in North Carolina14
An Extended K Function Method for Analyzing Distributions of Polygons with GIS13
A Framework for Inserting Visually Supported Inferences into Geographical Analysis Workflow: Application to Road Safety Research11
Spatial Causality: A Systematic Review on Spatial Causal Inference9
Open Source Software for Spatial Data Science9
An Examination of the Stochastic Distribution of Spatial Accessibility to Intensive Care Unit Beds during the COVID‐19 Pandemic: A Case Study of the Greater Houston Area of Texas9
Effects of Confidentiality‐Preserving Geo‐Masking on the Estimation of Semivariogram and of the Kriging Variance9
Multivariate Neighborhood Trajectory Analysis: An Exploration of the Functional Data Analysis Approach9
Evolution of Urban Patterns: Urban Morphology as an Open Reproducible Data Science8
Temporal Network Kernel Density Estimation8
A Probabilistic Approach to Address Data Uncertainty in Regionalization7
A Hybrid Approach for Mass Valuation of Residential Properties through Geographic Information Systems and Machine Learning Integration7
A General Method for Resampling Autocorrelated Spatial Data7
A Rejoinder to the Commentaries on “A Route Map for Successful Applications of Geographically Weighted Regression” by Comber et al. (2022)6
A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data6
What's a School Worth to a Neighborhood? A Spatial Hedonic Analysis of Property Prices in the Context of Accommodation Reviews in Ontario6
A Simulation Study to Explore Inference about Global Moran's I with Random Spatial Indexes6
Neighborhood Blighted Property Removal and 311 Calls for Non‐Emergency Services: A Test of a Marker of Social Control6
Analyzing Contacts and Behavior from High Frequency Tracking Data Using the wildlifeDI R Package6
Delineating Neighborhoods: An Approach Combining Urban Morphology with Point and Flow Datasets5
Delineating the Spatio‐Temporal Pattern of House Price Variation by Local Authority in England: 2009 to 20165
Access Weight Matrix: A Place and Mobility Infused Spatial Weight Matrix5
The Right to Rule by Thumb: A Comment on Epistemology in “A Route Map for Successful Applications of Geographically‐Weighted Regression”5
Issue Information5
Measuring Spatial Dispersion: An Experimental Test on the M‐Index4
Issue Information4
Probabilistic Regionalization via Evidence Accumulation with Random Spanning Trees as Weak Spatial Representations4
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Issue Information3
Income Segregation Analysis in Limited‐Data Contexts: A Methodology Based on Iterative Proportional Fitting3
Neighborhood Effects and Neighborhood Dynamics3
Feasibility of Using Survey Data and Semi‐variogram Kriging to Obtain Bespoke Indices of Neighborhood Characteristics: A Simulation and a Case Study3
Are We Modelling Spatially Varying Processes or Non‐linear Relationships?3
Harnessing Spatial Heterogeneity in Composite Indicators through the Ordered Geographically Weighted Averaging (OGWA) Operator3
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Issue Information3
Generalizing Impact Computations for the Autoregressive Spatial Interaction Model3
The Spatial Autoregressive Panel Data Model with Spatial Moving Average Errors3
Balancing Spatial and Non‐Spatial Variation in Varying Coefficient Modeling: A Remedy for Spurious Correlation2
An Areal Approach to Spatial Accessibility Analysis2
A Novel Approach to Assess the Distance Between the Settlement Patterns of Two Populations2
A Multi‐objective Optimization Approach for Disaggregating Employment Data2
An Empirical Study of Commuting Efficiency Between Different Educational Categories of Workers in Shanghai2
City Size Distribution Analyses Based on the Concept of Entropy Competition2
Understanding Population Decline Trajectories in Spain using Sequence Analysis2
Corrigendum2
A Comparison of Spatial and Nonspatial Methods in Statistical Modeling of NO2: Prediction Accuracy, Uncertainty Quantification, and Model Interpretation2
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Overlapping Landsat Scene Classifications and Focal Context to Identify Boreal Disturbance Mapping Uncertainty2
Issue Information2
A Micro‐Econometric Store Choice Model Incorporating Multi‐ and Omni‐Channel Shopping: The Case of Furniture Retailing in Germany2
Development of a Variable Multimodal Balanced Floating Catchment Area Approach for Spatial Accessibility Assessment1
Conceptualizing Urban Inequalities as a Complex Socio‐Technical Phenomenon1
Exploring the Tradeoff Between Privacy and Utility of Complete‐count Census Data Using a Multiobjective Optimization Approach1
Ripley’s K‐function for Network‐Constrained Flow Data1
Reproducibility of Research During COVID‐19: Examining the Case of Population Density and the Basic Reproductive Rate from the Perspective of Spatial Analysis1
The Spatial Association of Demographic and Population Health Characteristics with COVID‐19 Prevalence Across Districts in India1
Incorporating E‐commerce into Retail Location Models1
Comparisons Between Robbery and Break‐And‐Enter: Area‐Specific Trends, Socioeconomic Risk Factors, and Hotspots Analysis Using a Bayesian Spatial and Spatiotemporal Approach1
Prediction of Bike‐sharing Trip Counts: Comparing Parametric Spatial Regression Models to a Geographically Weighted XGBoost Algorithm1
Ranking Spatial Units with Structural Property and Traffic Distributions for Uncovering Spatial Interaction Patterns in a City1
Issue Information1
R Packages for Analyzing Spatial Data: A Comparative Case Study with Areal Data1
Spatiotemporal Multi‐objective Optimization for Competitive Mobile Vendors’ Location and Routing Using De Facto Population Demands1
Multi‐Level Street‐Based Analysis of the Urban Fabric: Developments for a Nationwide Taxonomy1
The Geographical Analysis of Megacities Through Changes in Their Individual Urban Objects1
The Effects of Weight Choices on the Power of the Getis–Ord Statistic1
Spatiotemporal Variograms as Neighborhood Definers1
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Navigating the Methodological Landscape in Spatial Analysis: A Comment on “A Route Map for Successful Applications of Geographically‐Weighted Regression”1
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