title: Idioms for µ-charts

authors: Anderson, Grant

abstract: This paper presents an idiomatic construct for µ-charts which reflects the high-level specification construct of synchronization between activities. This, amongst others, has emerged as a common and useful idea during our use of µ-charts to design and specify commonly-occurring reactive systems. The purpose of this example, apart from any inherent interest in being able to use synchronization in a specification, is to show how the very simple language of µ-charts can used as a basis for a more expressive language built by definitional extension.

text: Idioms for µ-charts This paper presents an idiomatic construct for µ-charts which reflects the high-level specification construct of synchronization between activities. This, amongst others, has emerged as a common and useful idea during our use of µ-charts to design and specify commonly-occurring reactive systems. The purpose of this example, apart from any inherent interest in being able to use synchronization in a specification, is to show how the very simple language of µ-charts can used as a basis for a more expressive language built by definitional extension.

year: 2001-08-01

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: The peopling and development of Aotearoa New Zealand: A demographic history, 1769-2020

authors: Pool, Ian

subjects: Aotearoa

abstract: This unpublished manuscript is the first demographic history of Aotearoa New Zealand, integrating 250 years of Māori and non-Māori data. It explores how development, in the broadest social, cultural and economic sense drove population changes, but was in turn driven by demographic factors. Based on extensively referenced research and analysis, the timeline starts with the earliest European settlement and finishes with the multicultural and aging society of the first decades of the twenty-first century.  It encompasses momentous changes, including: successive waves of migration, European settler demographic dominance occurring rapidly through natural increase, Māori nineteenth century cultural devastation and population decline, and twentieth-century resurgence, the Māori rural/urban exodus beginning in the 1940s, and the post-war non-Māori baby boom and baby bust. At each stage, this book demonstrates how profoundly the story of Aotearoa New Zealand is also the demographic story of its peopling.

text: The peopling and development of Aotearoa New Zealand: A demographic history, 1769-2020 This unpublished manuscript is the first demographic history of Aotearoa New Zealand, integrating 250 years of Māori and non-Māori data. It explores how development, in the broadest social, cultural and economic sense drove population changes, but was in turn driven by demographic factors. Based on extensively referenced research and analysis, the timeline starts with the earliest European settlement and finishes with the multicultural and aging society of the first decades of the twenty-first century.  It encompasses momentous changes, including: successive waves of migration, European settler demographic dominance occurring rapidly through natural increase, Māori nineteenth century cultural devastation and population decline, and twentieth-century resurgence, the Māori rural/urban exodus beginning in the 1940s, and the post-war non-Māori baby boom and baby bust. At each stage, this book demonstrates how profoundly the story of Aotearoa New Zealand is also the demographic story of its peopling.

year: 2026