Geospatial research is the study of geographic information, how we collect, store, manage, analyse, and visualise it. This is in isolation from the specifics of the driving geographic questions, that is, that we study the representations of the real world rather than the real world itself.

Within the School of Earth & Environment at Canterbury University, we tackle a range of geospatial research questions. These research topics include advances in spatial analysis methods, such as new methods for simulating real world populations through spatial microsimulation modelling, new data models or representations of geographic phenomena such as process based data models, representing the semantics of geographic information, and creating methods for determining whether we can trust crowd sourced data.

Urban and Regional Analytics

Accommodation-sharing platforms, such as Airbnb, can be seen as a disruptive force in comparison to more conventional accommodation providers and rental markets in many cities and regions worldwide.

This project focuses on understanding the spatial distribution of the accommodation provided by Airbnb in NZ. This research theme on Regional Science is funded by NSC11: Building Better Homes, Towns and Cities. Using urban and regional analytics we are conducting research on Airbnb and Regional Development questions.



Campbell M., McNair H., Mackay M. and Perkins HC. (2019) Disrupting the regional housing market: Airbnb in New Zealand. Regional Studies, Regional Science 6(1): 139-142.


Staff Involved

Malcolm Campbell

Hamish McNair

Michael Mackay

Harvey C Perkins

Our research team

Ioannis Delikostidis

Senior Lecturer
Geographic Information Science
Beatrice Tinsley Rm 314
Internal Phone: 94387

Matthew Wilson

Beatrice Tinsley Rm 316
Internal Phone: 92245

Carolynne Hultquist

Lecturer Spatial Data Science
Internal Phone: 91303

Vanessa Bastos

Internal Phone: 91028

Marwan Katurji

Associate Professor
Meteorology, Physical Geography
Beatrice Tinsley Rm 228

Simon Kingham

Human Geography,Chief Science Advisor, MoT
Beatrice Tinsley Rm 308
Internal Phone: 94064

Malcolm Campbell

Associate Professor
Human Geography
Beatrice Tinsley Rm 309
Internal Phone: 94181

Peyman Zawar-Reza

Beatrice Tinsley Rm 226
Internal Phone: 94057

Lindsey Conrow

Senior Lecturer
Beatrice Tinsley Rm 310
Internal Phone: 90196

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