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Sigurd Dyrting

Biographic Data

ID352766
NAMESigurd Dyrting
GIVEN NAMESSigurd
FAMILY NAMEDyrting
SIGNATUREDYRTING S
AFFILIATIONSCharles Darwin University
ORCID0000-0002-1939-085X
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS16
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Running to stand still? Finding levers to address population shrinking in the Northern Territory of Australia

    Open Access•Andrew Taylor, Sigurd Dyrting•ARTICLE•Journal of Rural Studies•2025•References: 2

  • Application of P-Topals for Smoothing Input Data for Population Projections ‘At the Edge’

    Open Access•Sigurd Dyrting, Andrew Taylor et al.•ARTICLE•Population Research and Policy…•2024•References: 42

    Sparsely populated areas of developed countries are regions of great demographic diversity and dynamism. While they remain strategically and economically important, trends in urbanization and technology have increased their relative sparsity and isolation making centralized government, service delivery and planning a challenge. Populations of their sub-jurisdictions are small and often exhibit significant heterogeneity in key demographic characte…

  • Estimating age-specific mortality using calibrated splines

    Open Access•Sigurd Dyrting, Andrew Taylor•ARTICLE•Population Studies•2024•Cited by: 1•References: 38

    Demographers have developed a number of methods for expanding abridged mortality data into a complete schedule; however, these can be usefully applied only under certain conditions, and the presence or absence of one or more additional sources of incompleteness can degrade their relative accuracy, lead to implausible profiles, or even cause the methods to fail. We develop a new method for expanding an abridged schedule based on calibrated splines…

  • Reconstruction of age distributions from differentially private census data

    Open Access•Sigurd Dyrting, Abraham D Flaxman et al.•ARTICLE•Population Research and Policy…•2022•Cited by: 1•References: 19

    The age distribution of a population is important for understanding the demand and provision of labor and services, and as a denominator for calculating key age-specific rates such as fertility and mortality. In the US, the most important source of information on age distributions is the decennial census, but a new disclosure avoidance system (DAS) based on differential privacy will inject noise into the data, potentially compromising its utility…

  • A spatial interpretation of Australia's Covid-vulnerability

    Open Access•Dávid Karácsonyi, Sigurd Dyrting et al.•ARTICLE•International Journal of Disaster…•2021

    The school of social vulnerability in disaster sciences offers an alternative perspective on the current COVID-19 (coronavirus) pandemic crisis. Social vulnerability in general can be understood as a risk of exposure to hazard impacts, where vulnerability is embedded in the normal functioning of the society. The COVID-19 pandemic has exposed systemic (political and health care systems), demographic (aging, race) and,based on the results of our ap…

  • “Run air-conditioning all day”

    Open Access•Kerstin K Zander, Fiona Shalley et al.•ARTICLE•Sustainable Cities and Society•2021

    Average global temperatures and frequencies of heat waves are increasing with detrimental effects on health and wellbeing. This study presents a case study from two cities in the Northern Territory with the aim of exploring if and how people make deliberate adaptations to cope with increasing heat. Results show that 37% of all respondents made adjustments, with the most common being increased use of air-conditioning (65% of those responding to he…

  • A life-stage approach for understanding population retention in sparsely populated areas

    Open Access•Sigurd Dyrting, A E Taylor et al.•ARTICLE•Journal of Rural Studies•2020•Cited by: 10•References: 3

  • Smoothing migration intensities with P-Topals

    Open Access•Sigurd Dyrting•ARTICLE•Demographic Research•2020•Cited by: 4•References: 19

    Age-speciï¬ c migration intensities often display irregularities that need to be removed by graduation, but two current methods for doing so, parametric model migration schedules and non-parametric kernel regression, have their limitations

  • A life-stage approach for understanding population retention in sparsely populated areas

    Open Access•Sigurd Dyrting, A E Taylor et al.•ARTICLE•Journal of Rural Studies•2020•Cited by: 10•References: 3

  • Smoothing migration intensities with P-Topals

    Open Access•Sigurd Dyrting•ARTICLE•Demographic Research•2020•Cited by: 4•References: 19

    Age-speciï¬ c migration intensities often display irregularities that need to be removed by graduation, but two current methods for doing so, parametric model migration schedules and non-parametric kernel regression, have their limitations

  • Estimating age-specific mortality using calibrated splines

    Open Access•Sigurd Dyrting, Andrew Taylor•ARTICLE•Population Studies•2024•Cited by: 1•References: 38

    Demographers have developed a number of methods for expanding abridged mortality data into a complete schedule; however, these can be usefully applied only under certain conditions, and the presence or absence of one or more additional sources of incompleteness can degrade their relative accuracy, lead to implausible profiles, or even cause the methods to fail. We develop a new method for expanding an abridged schedule based on calibrated splines…

  • Reconstruction of age distributions from differentially private census data

    Open Access•Sigurd Dyrting, Abraham D Flaxman et al.•ARTICLE•Population Research and Policy…•2022•Cited by: 1•References: 19

    The age distribution of a population is important for understanding the demand and provision of labor and services, and as a denominator for calculating key age-specific rates such as fertility and mortality. In the US, the most important source of information on age distributions is the decennial census, but a new disclosure avoidance system (DAS) based on differential privacy will inject noise into the data, potentially compromising its utility…

  • A life-stage approach for understanding population retention in sparsely populated areas

    Open Access•Sigurd Dyrting, A E Taylor et al.•ARTICLE•Journal of Rural Studies•2020•Cited by: 10•References: 3

  • Smoothing migration intensities with P-Topals

    Open Access•Sigurd Dyrting•ARTICLE•Demographic Research•2020•Cited by: 4•References: 19

    Age-speciï¬ c migration intensities often display irregularities that need to be removed by graduation, but two current methods for doing so, parametric model migration schedules and non-parametric kernel regression, have their limitations

  • A spatial interpretation of Australia's Covid-vulnerability

    Open Access•Dávid Karácsonyi, Sigurd Dyrting et al.•ARTICLE•International Journal of Disaster…•2021

    The school of social vulnerability in disaster sciences offers an alternative perspective on the current COVID-19 (coronavirus) pandemic crisis. Social vulnerability in general can be understood as a risk of exposure to hazard impacts, where vulnerability is embedded in the normal functioning of the society. The COVID-19 pandemic has exposed systemic (political and health care systems), demographic (aging, race) and,based on the results of our ap…

  • “Run air-conditioning all day”

    Open Access•Kerstin K Zander, Fiona Shalley et al.•ARTICLE•Sustainable Cities and Society•2021

    Average global temperatures and frequencies of heat waves are increasing with detrimental effects on health and wellbeing. This study presents a case study from two cities in the Northern Territory with the aim of exploring if and how people make deliberate adaptations to cope with increasing heat. Results show that 37% of all respondents made adjustments, with the most common being increased use of air-conditioning (65% of those responding to he…

  • Reconstruction of age distributions from differentially private census data

    Open Access•Sigurd Dyrting, Abraham D Flaxman et al.•ARTICLE•Population Research and Policy…•2022•Cited by: 1•References: 19

    The age distribution of a population is important for understanding the demand and provision of labor and services, and as a denominator for calculating key age-specific rates such as fertility and mortality. In the US, the most important source of information on age distributions is the decennial census, but a new disclosure avoidance system (DAS) based on differential privacy will inject noise into the data, potentially compromising its utility…

  • Application of P-Topals for Smoothing Input Data for Population Projections ‘At the Edge’

    Open Access•Sigurd Dyrting, Andrew Taylor et al.•ARTICLE•Population Research and Policy…•2024•References: 42

    Sparsely populated areas of developed countries are regions of great demographic diversity and dynamism. While they remain strategically and economically important, trends in urbanization and technology have increased their relative sparsity and isolation making centralized government, service delivery and planning a challenge. Populations of their sub-jurisdictions are small and often exhibit significant heterogeneity in key demographic characte…

  • Estimating age-specific mortality using calibrated splines

    Open Access•Sigurd Dyrting, Andrew Taylor•ARTICLE•Population Studies•2024•Cited by: 1•References: 38

    Demographers have developed a number of methods for expanding abridged mortality data into a complete schedule; however, these can be usefully applied only under certain conditions, and the presence or absence of one or more additional sources of incompleteness can degrade their relative accuracy, lead to implausible profiles, or even cause the methods to fail. We develop a new method for expanding an abridged schedule based on calibrated splines…

  • Running to stand still? Finding levers to address population shrinking in the Northern Territory of Australia

    Open Access•Andrew Taylor, Sigurd Dyrting•ARTICLE•Journal of Rural Studies•2025•References: 2

Computer Science (5 works) · Geography (5 works) · Population (5 works) · Demography (4 works) · Demography (4 works) · Health disparities and outcomes (4 works) · Insurance, Mortality, Demography, Risk Management (4 works) · Mathematics (4 works) · Sociology (4 works) · Statistics (4 works)

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