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School of Geography

Lex Comber Prof Lex Comber

Contact details

Room 10.118, Irene Manton Building
School of Geography
University of Leeds
Leeds LS2 9JT   UK


+44 113 343 9225 (internal: 39225)

Student hours:
My office hours are really varied this year. Please email me for an appointment.

Research overview

My research in Spatial Data Analytics develops methods that integrate and analyse high volumes of spatial data to uncover hidden patterns / correlations. It provides spatial insight for social and environmental applications. The context for this work is the limitless demand for and capture of spatial data: from smartphone apps, social networks and more traditional activities related to planning, human rights, environmental justice, public health, climate change, agriculture, land use, etc.  

Current research is developing models for analysing spatial data generated by GPS-enabled devices in the context of environmental monitoring. This extends concepts of 'crowd sourcing' into the  'citizen sensor', supporting community empowerment, resilience and adaptability. 



Comber A, Harris P and Tsutsumida N (2016). Improving land cover classification using input variables derived from a geographically weighted principal components analysis. Paper accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing, 119: 347–360. doi:10.1016/j.isprsjprs.2016.06.014.

Comber A, Mooney P, Purves RS,  Rocchini D and Walz A (2016). Crowdsourcing: It Matters Who the Crowd Are. The Impacts of between Group Variations in Recording Land Cover. PlosONE, 11(7): e0158329, DOI: 10.1371/journal.pone.0158329

Comber A, Davies H, Pinder D, Whittow JB, Woodhall A and Johnson SCM (2016). Mapping coastal land use changes 1965-2014: methods for handling historical thematic data. Transactions of the Institute of British Geographers, DOI: 10.1111/tran.12128

See L, Mooney P, Foody G, Bastin L, Comber A, Estima J, Steffen F, Kerle N, Jiang B, Laakso M, Liu HY, Milčinski G, Nikšič M, Painho m, Pődör A, Olteanu-Raimond AM and Rutzinger M (2016). Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information, ISPRS International Journal of Geo-Information 5: 55.

Comber A, Fonte C, Foody G, Fritz S, Harris P, Raimond A-M and See L, (2016). Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information. GeoInformatica, 20(3): 503-527. Doi: 0.1007/s10707-016-0248-z




Curriculum Vitae - read more
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