Geographical veracity of indicators derived from mobile phone data

by   Maarten Vanhoof, et al.

In this contribution we summarize insights on the geographical veracity of using mobile phone data to create (statistical) indicators. We focus on problems that persist with spatial allocation, spatial delineation and spatial aggregation of information obtained from mobile phone data. For each of the cases, we offer insights from our works on a French CDR dataset and propose both short and long term solutions. As such, we aim at offering a list of challenges, and a roadmap for future work on the topic.



page 2


A strategy for the matching of mobile phone signals with census data

Administrative data allows us to count for the number of residents. The ...

Entropy as a measure of attractiveness and socioeconomic complexity in Rio de Janeiro metropolitan area

Defining and measuring spatial inequalities across the urban environment...

Mobile Phone Use as Sequential Processes: From Discrete Behaviors to Sessions of Behaviors and Trajectories of Sessions

Mobile phone use is an unfolding process by nature. In this study, it is...

Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits

Research has proven that stress reduces quality of life and causes many ...

A set of R packages to estimate population counts from mobile phone data

In this paper, we describe the software implementation of the methodolog...

Depression Diagnosis and Forecast based on Mobile Phone Sensor Data

Previous studies have shown the correlation between sensor data collecte...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.