Arbeitspapier

Compiling granular population data using geospatial information

Granular spatial information on the distributions of human population is relevant to a variety of fields like health, economics, and other areas of public sector planning. This paper applies ensemble methods and aims at assessing their applicability to analyzing and forecasting population density on a grid level. In a first step, we use a Random Forest approach to estimate population density in the Philippines and Thailand on a 100 meter by 100-meter level. Second, we use different specifications of Random Forest and Bayesian model averaging techniques to create forecasts of the grid-level population density in three Thailand provinces and evaluate their predictive power.

Sprache
Englisch

Erschienen in
Series: ADB Economics Working Paper Series ; No. 643

Klassifikation
Wirtschaft
Econometric and Statistical Methods: Other
Distribution: General
Economic Development: Human Resources; Human Development; Income Distribution; Migration
Thema
population mapping
big data
random forest estimation
Philippines
Thailand

Ereignis
Geistige Schöpfung
(wer)
Mitterling, Thomas
Fenz, Katharina
Martinez, Arturo
Bulan, Joseph
Addawe, Mildred
Durante, Ron Lester
Martillan, Marymell
Ereignis
Veröffentlichung
(wer)
Asian Development Bank (ADB)
(wo)
Manila
(wann)
2021

DOI
doi:10.22617/WPS210519-2
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Mitterling, Thomas
  • Fenz, Katharina
  • Martinez, Arturo
  • Bulan, Joseph
  • Addawe, Mildred
  • Durante, Ron Lester
  • Martillan, Marymell
  • Asian Development Bank (ADB)

Entstanden

  • 2021

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