When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates-Reference-Cited by-同舟云学术

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When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates

Published:2024-06 Issue: Volume:110 Page:102106
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Šveda Martin,Hurbánek Pavol,Madajová Michala Sládeková,Rosina Konštantín,Förstl Filip,Záboj Petr,Výbošťok Ján

Funder

Ministry of Education Science Research and Sport of the Slovak Republic

Slovak Research and Development Agency

Vedecká Grantová Agentúra MŠVVaŠ SR a SAV

Publisher

Elsevier BV

Reference57 articles.

1. Spatial interpolation of mobile positioning data for population statistics;Aasa;Journal of Location Based Services,2021

2. Everyday space–time geographies: Using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn;Ahas;International Journal of Geographical Information Science,2015

3. Using mobile positioning data to model locations meaningful to users of mobile phones;Ahas;Journal of Urban Technology,2010

4. A spatio-temporal population model to support risk assessment and damage analysis for decision-making;Ahola;International Journal of Geographical Information Science,2007

5. Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: A post-earthquake geospatial study in Haiti;Bengtsson;PLoS Medicine,2011

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