Robert Haining

University of Cambridge — United Kingdom

Economics, Econometrics and Finance · Social Sciences

46h-index7.7kcitations240works27.32yr avg
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Research Topics

Spatial and Panel Data Analysis(124), Data-Driven Disease Surveillance(48), Geographic Information Systems Studies(39), Land Use and Ecosystem Services(33), Soil Geostatistics and Mapping(33)

Publications240 total

Random forest modelling of remotely sensed land cover data to identify crime hot spots in urban areas
Discover Cities·2025Open Access
Statistical Modeling of Spatially Stratified Heterogeneous Data
Annals of the American Association of Geographers·2024· 74 citedOpen Access
Using remote sensing data to derive built-form indexes to analyze the geography of residential burglary and street thefts
Cartography and Geographic Information Science·2024· 8 citedOpen Access
Advances in the Application of Geospatial Technology in the Mitigation of COVID-19 Pandemic
Contributions to economics·2023
Statistics for Spatially Stratified Heterogeneous Data
arXiv (Cornell University)·2022· 1 citedOpen Access
GIS Empowered Urban Crime Research
2022· 4 cited
Spatial Data and Spatial Statistics
2021· 1 cited
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach
2020· 3 cited
Bayesian Hierarchical Models for Spatial-Temporal Data I: Space-Time Separable Models
2020
Specifying Spatial Relationships on the Map: The Weights Matrix
2020
Modelling Spatial-Temporal Data: An Introduction
2020
Spatial Econometric Models
2020· 2 cited
The Nature of Spatial and Spatial-Temporal Attribute Data
2020
Bayesian Hierarchical Models for Spatial-Temporal Data II: Space-Time Inseparable Models
2020
Applications in Modelling Spatial-Temporal Data
2020
Introduction to the Bayesian Approach to Regression Modelling with Spatial and Spatial-Temporal Data
2020
Spatial Econometric Modelling: Applications
2020
Modelling Spatial and Spatial-Temporal Data: Future Agendas?
2020
Bayesian Models for Spatial Data I: Non-Hierarchical and Exchangeable Hierarchical Models
2020
Bayesian Models for Spatial Data II: Hierarchical Models with Spatial Dependence
2020
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Frequent Co-authors

Daniel A. Griffith(10), Robert J. Bennett(6), Jane Law(5), Stephen Wise(4), Vânia Ceccato(4), Jinfeng Wang(3), Giuseppe Arbia(3), Massimo Craglia(2), Sylvia Richardson(2), Ravi Maheswaran(2), Paul Brindley(2), Tim Pearson(2), Peter R. Fryers(2), Michael J. Campbell(2), Paola Signoretta(2), Jingsheng Ma(2), Lianfa Li(2), Guangquan Li(2), Ruth Kerry(2), Michael Goodchild(1)