Unpacking dasymetric modelling to correct spatial bias in environmental model outputs

Kallio, Marko; Guillaume, Joseph H. A.; Burek, P.; Tramberend, Sylvia; Smilovic, Mikhail; Horton, Alexander; Virrantaus, Kirsi

doi:10.1016/j.envsoft.2022.105511

Cited by 2 publications

(4 citation statements)

References 71 publications

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“…We then applied the regression models at the 5 arc-min scale and adjusted the estimates using an area to point kriging (ATPK) of the residuals calculated at the larger scale. Finally, the downscaled estimates were adjusted to ensure that the total number of births/deaths matches the original data when aggregated to the subnational administration boundary scale (51). Below, each step is presented in more detail.…”

Section: Downscaling Methodsmentioning

confidence: 99%

“…The downscaling was done so that the average birth and death ratios (i.e. total births and deaths of an area) were maintained at the administrative unit (subnational or national, depending on the source data) scale (51). For the regression model, we used 'relative population density' (for urbanisation proxy) and 'subnational Human Development Index' data as independent variables in downscaling both births and deaths.…”

Section: Downscaling To Gridded Levelmentioning

confidence: 99%

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World's human migration patterns in 2000-2019 unveiled by high-resolution data

Niva

Horton

Heino

et al. 2022

Preprint

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Despite being a top concern on global agenda, global-scale, high resolution quantification of net-migration and its major drivers, is still missing for recent decades. We created a global dataset of annual net-migration between 2000–2019 (~ 10km grid), based on reported and here-downscaled sub-national birth and death ratios. We show that globally, internal migration has increased rapidly, dominating over international migration. Around 50% of world’s urban population lived in urban areas where migration accelerated urban population growth, while a third of global population lived in provinces where rural areas experienced positive net-migration. Finally, we show that socio-economic factors play a more important role than climatic ones to explain the migration patterns globally. By capturing migration patterns not only between but also within countries, socio-economic and geophysical zonings, our study highlights the importance of sub-national analysis of migration – a necessity for policy design, international cooperation and shared responsibility for managing internal and international migration.

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Section: Downscaling Methodsmentioning

confidence: 99%

Section: Downscaling To Gridded Levelmentioning

confidence: 99%

World's human migration patterns in 2000-2019 unveiled by high-resolution data

Niva

Horton

Heino

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…We used multiple linear regression together with area-to-point kriging (ATPK) 60,61 to downscale the subnational birth and death rates to 5 arcmin (~10 km at the equator) resolution. The downscaling was done so that the average birth and death rates (total births and deaths of an area) were maintained at the administrative unit (subnational or national, depending on the source data) scale 62 . For the regression model, we used 'relative population density' (for urbanization proxy) and 'subnational human development index' data as independent variables in downscaling both births and deaths.…”

Section: Downscaling To Gridded Levelmentioning

confidence: 99%

“…We then applied the regression models at the 5 arcmin scale and adjusted the estimates using an ATPK for the residuals calculated at the subnational administrative boundary scale. Finally, the downscaled estimates were adjusted to ensure that the total number of births and deaths matched the original data when aggregated to the subnational administration boundary scale 62 . Below, each step is presented in more detail.…”

Section: Ratio Of Average Age and Life Expectancymentioning

confidence: 99%

World’s human migration patterns in 2000–2019 unveiled by high-resolution data

Niva,

Horton,

Virkki

et al. 2023

Nat Hum Behav

Self Cite

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Despite being a topical issue in public debate and on the political agenda for many countries, a global-scale, high-resolution quantification of migration and its major drivers for the recent decades remained missing. We created a global dataset of annual net migration between 2000 and 2019 (~10 km grid, covering the areas of 216 countries or sovereign states), based on reported and downscaled subnational birth (2,555 administrative units) and death (2,067 administrative units) rates. We show that, globally, around 50% of the world’s urban population lived in areas where migration accelerated urban population growth, while a third of the global population lived in provinces where rural areas experienced positive net migration. Finally, we show that, globally, socioeconomic factors are more strongly associated with migration patterns than climatic factors. While our method is dependent on census data, incurring notable uncertainties in regions where census data coverage or quality is low, we were able to capture migration patterns not only between but also within countries, as well as by socioeconomic and geophysical zonings. Our results highlight the importance of subnational analysis of migration—a necessity for policy design, international cooperation and shared responsibility for managing internal and international migration.

show abstract

Unpacking dasymetric modelling to correct spatial bias in environmental model outputs

Cited by 2 publications

References 71 publications

World's human migration patterns in 2000-2019 unveiled by high-resolution data

World's human migration patterns in 2000-2019 unveiled by high-resolution data

World’s human migration patterns in 2000–2019 unveiled by high-resolution data

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