In this chapter, we highlight the importance of small-area data on population distributions for supporting policy making. We emphasize how population distributions vary in different ways at different spatial and temporal scales. Various “big” data sets now exist to capture some of these dynamics, each with their own strengths, but also many drawbacks. We discuss how harmonizing and integrating data sets into a common geospatial framework enables the strengths of different data sets representing features of mobility and migration to be brought together, building on each other. We provide an overview of data sets and methods for such integration, then present three illustrative case studies where such integration has been used to support decision-making.
Geospatial data integration to capture small area population dynamics / A.J. Tatem, C. Dooley, S. Lai, D. Woods, A.D. Cunningham, A. Sorichetta - In: Harnessing Data Innovation for Migration Policy : A Handbook for Practitioners / [a cura di] M. Rango, N. Sievers, F. Laczko. - Switzerland : International Organization for Migration, 2023. - ISBN 978-92-9268-444-0. - pp. 10-23
Geospatial data integration to capture small area population dynamics
A. SorichettaUltimo
Conceptualization
2023
Abstract
In this chapter, we highlight the importance of small-area data on population distributions for supporting policy making. We emphasize how population distributions vary in different ways at different spatial and temporal scales. Various “big” data sets now exist to capture some of these dynamics, each with their own strengths, but also many drawbacks. We discuss how harmonizing and integrating data sets into a common geospatial framework enables the strengths of different data sets representing features of mobility and migration to be brought together, building on each other. We provide an overview of data sets and methods for such integration, then present three illustrative case studies where such integration has been used to support decision-making.File | Dimensione | Formato | |
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53_Tatem_etal_Harnessing Data Innovation for Migration Policy_23 - Article.pdf
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