Breaking through the cloud: Vaping in Aotearoa New Zealand
Research TeamIsaac Waterman (GeoHealth Lab intern – UoC)Lukáš Marek (GRI – UoC)Annabel Ahuriri-Driscoll (FoH – UoC)Jalal Mohammed (FoH – UoC)Michael Epton (FoH – UoC)Matt Hobbs (FoH – UoC) Funding:HRC Emerging Researcher Duration of Project2023-2024 Summary:Vaping is a relatively new phenomenon that was initially hailed as a promising alternative to smoking. However, the number of non-smokers who have started vaping is […]
Implications of uncertainty in flood hazard assessments for planning under climate change
PhD student:Clevon Ash (GRI – UoC) Supervisors:Matthew Wilson (GRI – UoC)Iain White (UoW)Carolynne Hultquist (SEE – UoC) Funding:MBIE Endeavour Research Programme – Increasing flood resilience across Aotearoa, New Zealand. Duration of Project3 years Summary:Like many other countries around the world, New Zealand experienced numerous floods between 2022 and 2023. In 2022, Aotearoa experienced over 600 […]
Building urban development scenarios into assessments of future flood risk
PhD student:Katherine Booker (UoW) Supervisors:Iain White (UoW)Matthew Wilson (GRI – UoC)Dr. Xinyu Fu (UoW) Funding:MBIE Endeavour Research Programme – Increasing flood resilience across Aotearoa, New Zealand. Duration of ProjectPhD May 2023 – May 2026 (3 years) Summary:The devastating impact of flood events around the globe demonstrates the need for more comprehensive assessments of future flood […]
Hybrid hydrodynamic-machine learning model for rapid flood scenario assessment
PhD student:Andrea Pozo Estivariz (PhD student, UoC) Supervisors:Dr. Emily Lane (NIWA)Prof. Matthew Wilson (UoC)Marwan Katurji (UoC)Fernando Méndez (Universidad de Cantabria) Funding:MBIE Endeavour Research Programme – Increasing flood resilience across Aotearoa, New Zealand. Summary:Flooding is the most frequent natural hazard in New Zealand and the second-most costly after earthquakes. It is also expected to become more […]
Estimating uncertainty in flood model outputs using machine learning informed by Monte Carlo analysis
PhD student:Martin Nguyen (PhD student, UoC) Supervisors:Prof. Matthew Wilson (Main Supervisor, UoC)Dr. Emily Lane (Supervisor, NIWA)Prof. James Brasington (UoC)Dr. Rose Pearson (NIWA) Funding:MBIE Endeavour Research Programme – Increasing flood resilience across Aotearoa, New Zealand. Summary:Topography is an important input for flood inundation model and how to obtain accurate representations of it has not been properly […]
Monitoring Hate Speech and Offensive Language on Social Media
Date September 5-6, 2023 Submitted to The Fourth Spatial Data Science Symposium Author Sidney Gig-Jan Wong Abstract Hate speech and offensive language content on social media platforms has increased in both volume and tone across Aotearoa. The current study aims to develop a method to monitor hate speech and offensive language using transformer-based pretrained language […]
Unravelling the Biosecurity Implications of International Tourism in New Zealand
Date September 5-6, 2023 Submitted to The Fourth Spatial Data Science Symposium Authors Ishwarya Anand, Vanessa Bastos, Steve Pawson, Andrew Robinson, Heyang (Thomas) Li Abstract New Zealand is a treasure of biodiversity in the heart of Pacific. Tourism is one of the main causes of the accidental introduction and spread of harmful foreign plants and […]
URBAN TREES AND HOUSING INTENSIFICATION: A SPATIAL CONFLICT?
Date September 5-6, 2023 Submitted to The Fourth Spatial Data Science Symposium Author David Pedley Supervisors Dr Justin Morgenroth (UC) and Dr Grant Pearse (Scion) Abstract Urban trees provide a multitude of environmental and amenity benefits for city occupants. In recognition of these benefits, many cities have developed strategies and plans seeking to protect and […]
Use of Felt Rapid Reports as a reliable data source in the production of Earthquake Intensity Maps
Date September 5-6, 2023 Submitted to The Fourth Spatial Data Science Symposium Author Hazel Fraser Abstract Crowdsourcing has the potential for use in a wide range of hazard applications by timely collection of large quantities of data. One example is GeoNet’s Felt Rapid Report (FRR) data which has received up to 61,000 reports within 15 […]
Advancing efficiencies in remote sensing of Ross Sea Adélie penguin populations
Research Team Alexandra Strang, Dean Anderson, Esme Robinson, Grant Ballard, Annie Schmidt, David Ainley, Kerry Barton, Fiona Shanhun, Rebecca Macneil, Elissa Cameron, Michelle LaRue Project Aim Identify an objective method to assess guano area characteristics over the 2009-2021 austral summers for four colonies, to improve this tool toward better assessment of population changes. Click […]