title: The Geographic Classification for Health: Methodology and classification report

authors: Whitehead, Jesse

abstract: The GCH is based on population and drive time data that was used in the development of the Urban Accessibility (UA) classification (Statistics New Zealand, 2020). The UA is in turn based on the Statistical Standard for Geographic Areas 2018 (SSGA18) which includes the urban rural 2018 (UR2018) classification (Statistics New Zealand, 2018). The authors of this report have applied a framework to the UA classification that considers a health services discourse to determine appropriate population and drive time thresholds. We have tested both the quantitative and ‘on-the-ground’ validity of the GCH, in partnership with the Ministry of Health’s National Rural Health Advisory Group (NRHAG).

The GCH is comprised of five categories, two urban and three rural, that reflect degrees of reducing urban influence and increasing rurality. The GCH applies these categories to all of New Zealand’s Statistical Area 1s (SA1s, small statistical areas which are the output geography for population data) on a scale from ‘Urban 1’ to ‘Urban 2’ based on population size, and from “Rural 1’ to ‘Rural 3’ based on drive time to their closest major, large, medium, and small* (*As defined in the Statistical Standard for Geographic Areas 2018 (Statistics New Zealand, 2018)) urban areas. Like the UA, the GCH is based on population size and density, with drive time used to indicate increasing rurality. Unlike the UA, which is a generic classification, the population and drive time thresholds used in the GCH have been developed from a health perspective, in consultation with more than 300 individuals from 20 organisations. The nature of the functional relationships between urban areas and rural surrounds have also been considered through a health lens.

In this paper we discuss concepts and issues with previous ‘generic’ urban-rural classifications being used in health research in Aotearoa New Zealand. We also describe the GCH methodology and classification, discuss limitations, and illustrate the GCH with maps.

text: The Geographic Classification for Health: Methodology and classification report The GCH is based on population and drive time data that was used in the development of the Urban Accessibility (UA) classification (Statistics New Zealand, 2020). The UA is in turn based on the Statistical Standard for Geographic Areas 2018 (SSGA18) which includes the urban rural 2018 (UR2018) classification (Statistics New Zealand, 2018). The authors of this report have applied a framework to the UA classification that considers a health services discourse to determine appropriate population and drive time thresholds. We have tested both the quantitative and ‘on-the-ground’ validity of the GCH, in partnership with the Ministry of Health’s National Rural Health Advisory Group (NRHAG).

The GCH is comprised of five categories, two urban and three rural, that reflect degrees of reducing urban influence and increasing rurality. The GCH applies these categories to all of New Zealand’s Statistical Area 1s (SA1s, small statistical areas which are the output geography for population data) on a scale from ‘Urban 1’ to ‘Urban 2’ based on population size, and from “Rural 1’ to ‘Rural 3’ based on drive time to their closest major, large, medium, and small* (*As defined in the Statistical Standard for Geographic Areas 2018 (Statistics New Zealand, 2018)) urban areas. Like the UA, the GCH is based on population size and density, with drive time used to indicate increasing rurality. Unlike the UA, which is a generic classification, the population and drive time thresholds used in the GCH have been developed from a health perspective, in consultation with more than 300 individuals from 20 organisations. The nature of the functional relationships between urban areas and rural surrounds have also been considered through a health lens.

In this paper we discuss concepts and issues with previous ‘generic’ urban-rural classifications being used in health research in Aotearoa New Zealand. We also describe the GCH methodology and classification, discuss limitations, and illustrate the GCH with maps.

year: 2021

title: Threshold-Concept inspired eTutorials in electronics

authors: Scott, Jonathan B.

subjects: Threshold Concepts

abstract: Engagement of students in traditional engineering tutorials can be low, especially where the level of preparation varies widely across the student population. Online tutorials are a way of addressing this problem, as they offer the chance for students to work at their own pace, at their own preferred times, while staff can add and update questions, links, and hints in almost-real time. We created such a set of tutorials in an introductory electronics course, incorporating a strong Threshold-Concept focus. The tutorials were coded by one of us (Balsom) in PHP, and this allowed us to extensively and flexibly control reporting to examine student usage. We benchmarked students from year to year, introduced the eTutorials, and measured their impact. We employed surveys and interviews for additional feedback. We quantitatively and qualitatively address the question of how effective the eTutorials were in comparison with well-staffed, well-attended, conventional tutorials addressing the exact same material in the previous year. We also search for correlations between student usage and eventual grade with the aim of early detection of students requiring intervention. The cost is compared with use of commercially-available eTutorials in Physics that are used by a parallel introductory Physics course in the same school.

text: Threshold-Concept inspired eTutorials in electronics Engagement of students in traditional engineering tutorials can be low, especially where the level of preparation varies widely across the student population. Online tutorials are a way of addressing this problem, as they offer the chance for students to work at their own pace, at their own preferred times, while staff can add and update questions, links, and hints in almost-real time. We created such a set of tutorials in an introductory electronics course, incorporating a strong Threshold-Concept focus. The tutorials were coded by one of us (Balsom) in PHP, and this allowed us to extensively and flexibly control reporting to examine student usage. We benchmarked students from year to year, introduced the eTutorials, and measured their impact. We employed surveys and interviews for additional feedback. We quantitatively and qualitatively address the question of how effective the eTutorials were in comparison with well-staffed, well-attended, conventional tutorials addressing the exact same material in the previous year. We also search for correlations between student usage and eventual grade with the aim of early detection of students requiring intervention. The cost is compared with use of commercially-available eTutorials in Physics that are used by a parallel introductory Physics course in the same school.

year: 2013

title: Waikato shallow lakes modelling

authors: Lehmann, Moritz K.

subjects: Lakes

abstract: The principal aim of this study is to apply a modelling approach to identify, evaluate and prioritise specific in-lake and catchment restoration options which could be applied to improve the water quality and ecological health of peat and riverine lake types across the Waikato Region. Four representative lakes have been selected as case studies for this work based on their social, cultural and ecological significance, as well as the availability of historical monitoring data and the potential transferability of the study findings to similar lake systems. The lakes include Rotomānuka, Ngāroto, Waahi and Waikare.

text: Waikato shallow lakes modelling The principal aim of this study is to apply a modelling approach to identify, evaluate and prioritise specific in-lake and catchment restoration options which could be applied to improve the water quality and ecological health of peat and riverine lake types across the Waikato Region. Four representative lakes have been selected as case studies for this work based on their social, cultural and ecological significance, as well as the availability of historical monitoring data and the potential transferability of the study findings to similar lake systems. The lakes include Rotomānuka, Ngāroto, Waahi and Waikare.

year: 2017