Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation-Reference-Cited by-同舟云学术

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Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation

Published:2017-02-07 Issue:8 Volume:31 Page:1630-1651
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Järv Olle¹^ORCID,Tenkanen Henrikki¹^ORCID,Toivonen Tuuli¹^ORCID

Affiliation:

1. Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland

Funder

Helsinki Metropolitan Region Urban Research Program

Kone Foundation

DENVI doctoral program

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://tandfonline.com/doi/pdf/10.1080/13658816.2017.1287369

Reference67 articles.

1. Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones

2. A spatio‐temporal population model to support risk assessment and damage analysis for decision‐making

3. Estimating the spatial distribution of the population of Riyadh, Saudi Arabia using remotely sensed built land cover and height data

4. Tracking survey for individual travel behaviour using mobile communication instruments

5. Integrating earth observation and GIScience for high resolution spatial and functional modeling of urban land use

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1. Analyzing post-COVID-19 demographic and mobility changes in Andalusia using mobile phone data;Scientific Reports;2024-06-27

2. When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates;Computers, Environment and Urban Systems;2024-06

3. Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring;Journal of Transport Geography;2024-06

4. In-stream mobility and speed estimation of mobile devices from mobile network data;Transportation;2024-05-29

5. On an Aggregated Estimate for Human Mobility Regularities through Movement Trends and Population Density;Entropy;2024-04-30

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