Injury Prevention Research Unit

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Recent Deposits

Quality of data for geo-spatial studies of alcohol-related harm

Hay, Geoff; Kypri, Kypros; Whigham, Peter A; Langley, John (Conference or Workshop Item (Oral presentation), 18th Annual Colloquium of the Spatial Information Research Centre (SIRC 2006: Interactions and Spatial Processes), 2006)

There is growing research interest in the relationship between the geographic density of liquor outlets and the incidence of various harms (e.g., assault), however, to date, detail is lacking on the quality of data used ...
Geospatial aspects of alcohol-related harm in New Zealand

Kypri, Kypros; Langley, John; Whigham, Peter A; Wiggers, John (Conference or Workshop Item (Oral presentation), 17th Annual Colloquium of the Spatial Information Research Centre (SIRC 2005: A Spatio-temporal Workshop), 2005)

The leading cause of mortality in 15-24 year-olds in New Zealand is injury, accounting for three quarters of deaths. Road traffic crashes account for over half of all injury deaths and a third of hospitalisations, and ...
Spatial variation in the association between neighbourhood deprivation and access to alcohol outlets

Hay, Geoff; Whigham, Peter A; Kypri, Kypros; Langley, John (Conference or Workshop Item (Paper), 19th Annual Colloquium of the Spatial Information Research Centre (SIRC 2007: Does Space Matter?), 2007)

Background: People who live in poor areas suffer higher mortality than those living in wealthier areas. People who live in poor areas in New Zealand have better access to alcohol and this association appears to vary ...
A preliminary investigation of the stability of Geographically-Weighted Regression

Whigham, Peter A; Hay, Geoff (Conference or Workshop Item (Paper), 19th Annual Colloquium of the Spatial Information Research Centre (SIRC 2007: Does Space Matter?), 2007)

This paper describes preliminary work analysing the stability of parameter coefficient estimates for Geographically-Weighted Regression (GWR). Based on a large dataset (35721 points) various random samplings of this data ...