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Computer Science

D-Index
42
Citations
7521
World Ranking
8377
National Ranking
508

Overview

Alexis J. Comber is affiliated with the University of Leeds in the United Kingdom. Their research primarily spans Environmental Science and Social Sciences, with a significant focus on specialized subfields including Transportation, Economics and Econometrics, Global and Planetary Change, Ocean Engineering, and Environmental Engineering.

The researcher's work covers a range of topics, prominently featuring Land Use and Ecosystem Services, Spatial and Panel Data Analysis, Transportation Planning and Optimization, Human Mobility and Location-Based Analysis, Urban Transport and Accessibility, Evacuation and Crowd Dynamics, and Economic and Environmental Valuation.

Recent publications by Alexis J. Comber include:

  • A Route Map for Successful Applications of Geographically Weighted Regression, 2022, Geographical Analysis
  • Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems, 2020, Computers Environment and Urban Systems
  • Mapping the transcriptome: Realizing the full potential of spatial data analysis, 2023, Cell
  • Using geographically weighted models to explore how crowdsourced landscape perceptions relate to landscape physical characteristics, 2020, Landscape and Urban Planning
  • Driving Factors of Land Change in China's Loess Plateau: Quantification Using Geographically Weighted Regression and Management Implications, 2020, Remote Sensing

Frequent collaborators include Chris Brunsdon, Nick Malleson, Paul Harris, Minh Kieu, and Quang-Thanh Bui.

Their work is often published in venues such as AGILE GIScience Series, Zenodo (CERN European Organization for Nuclear Research), Geographical Analysis, arXiv (Cornell University), and ISPRS International Journal of Geo-Information.

Best Publications

  • Using a GIS-based network analysis to determine urban greenspace accessibility for different ethnic and religious groups

    Alexis J. Comber;Chris. Brunsdon;Edmund. Green

  • A critical synthesis of remotely sensed optical image change detection techniques

    Andrew P. Tewkesbury;Andrew P. Tewkesbury;Alexis J. Comber;Nicholas J. Tate;Alistair Lamb

  • Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information

    Linda See;Peter Mooney;Giles Foody;Lucy Bastin

  • A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions

    Alexis John Comber;Chris Brunsdon;Robert Radburn

  • Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data

    Sybrand van Beijma;Sybrand van Beijma;Alexis Comber;Alistair Lamb

  • Spatial analysis of remote sensing image classification accuracy

    Alexis Comber;Peter Fisher;Chris Brunsdon;Abdulhakim Khmag

  • What is Land Cover

    Alexis J. Comber;Peter F. Fisher;Richard A. Wadsworth

  • Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects

    Yanjiao Ren;Yihe Lü;Alexis Comber;Bojie Fu

  • Comparing the quality of crowdsourced data contributed by expert and non-experts.

    Linda See;Alexis John Comber;Carl Salk;Carl Salk;Steffen Fritz

  • A route map for successful applications of Geographically Weighted Regression

    Alexis Comber;Chris Brunsdon;Martin Charlton;Guanpeng Dong

  • A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile

    Yuanxuan Yang;Alison J. Heppenstall;Andy Turner;Alexis J. Comber

  • Half century change of interactions among ecosystem services driven by ecological restoration: Quantification and policy implications at a watershed scale in the Chinese Loess Plateau.

    Ying Luo;Yihe Lü;Bojie Fu;Qiuju Zhang

  • A GIS model for mapping spatial patterns and distribution of wild land in Scotland

    Steve Carver;Alexis J. Comber;Rob McMorran;Steve Nutter

  • Using control data to determine the reliability of volunteered geographic information about land cover

    Alexis J. Comber;Linda M. See;Steffen Fritz;Marijn Van der Velde

  • Using genetic algorithms to optimise current and future health planning--the example of ambulance locations.

    Satoshi Sasaki;Alexis J Comber;Hiroshi Suzuki;Chris Brunsdon

  • Building a hybrid land cover map with crowdsourcing and geographically weighted regression

    Linda See;Dmitry Schepaschenko;Myroslava Lesiv;Myroslava Lesiv;Ian McCallum

  • Integrating land-cover data with different ontologies: identifying change from inconsistency

    Alexis J. Comber;Peter F. Fisher;Richard A. Wadsworth

  • A Comparison of Fuzzy AHP and Ideal Point Methods for Evaluating Land Suitability

    Mukhtar Elaalem;Alexis J. Comber;Peter F. Fisher

  • Locating bioenergy facilities using a modified GIS-based location–allocation-algorithm: Considering the spatial distribution of resource supply

    Alexis Comber;Jennifer Dickie;Claire Jarvis;Martin Phillips

  • Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems

    Yuanxuan Yang;Yuanxuan Yang;Alison J. Heppenstall;Andy Turner;Alexis J. Comber

  • Approaches to Uncertainty in Spatial Data

    Peter Fisher;Alexis Comber;Richard Wadsworth

Frequent Co-Authors

Peter Fisher
Peter Fisher University of Liverpool
Yihe Lü
Yihe Lü Chinese Academy of Sciences
Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Linda See
Linda See International Institute for Applied Systems Analysis
Bojie Fu
Bojie Fu Peking University
Giles M. Foody
Giles M. Foody University of Nottingham
Heiko Balzter
Heiko Balzter University of Leicester
Marijn van der Velde
Marijn van der Velde European Commission Joint Research Centre
Hiroshi Suzuki
Hiroshi Suzuki Niigata University
Melanie J. Davies
Melanie J. Davies University of Leicester

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