Better coverage, better outcomes? Mapping mobile network data to official statistics using satellite imagery and radio propagation modelling

02/20/2020
by   Till Koebe, et al.
0

Mobile sensing data has become a popular data source for geo-spatial analysis, however, mapping it accurately to other sources of information such as statistical data remains a challenge. Popular mapping approaches such as point allocation or voronoi tessellation provide only crude approximations of the mobile network coverage as they do not consider holes, overlaps and within-cell heterogeneity. More elaborate mapping schemes often require additional proprietary data operators are highly reluctant to share. In this paper, I use human settlement information extracted from publicly available satellite imagery in combination with stochastic radio propagation modelling techniques to account for that. I investigate in a simulation study and a real-world application on unemployment estimates in Senegal whether better coverage approximations lead to better outcome predictions. The good news is: it does not have to be complicated.

READ FULL TEXT

page 13

page 14

page 15

page 16

page 22

page 23

research
06/12/2020

Predicting cell phone adoption metrics using satellite imagery

Approximately half of the global population does not have access to the ...
research
01/04/2023

Building Coverage Estimation with Low-resolution Remote Sensing Imagery

Building coverage statistics provide crucial insights into the urbanizat...
research
01/05/2021

Tutorial I: Learning the Principles of Mobile Radio Propagation through Smartphone and CRFO

In this tutorial, we present three simple smartphone based experiments f...
research
02/05/2020

RGISTools: Downloading, Customizing, and Processing Time Series of Remote Sensing Data in R

There is a large number of data archives and web services offering free ...
research
05/26/2015

Fixed Rank Kriging for Cellular Coverage Analysis

Coverage planning and optimization is one of the most crucial tasks for ...
research
04/26/2020

Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data

The utility of aerial imagery (Satellite, Drones) has become an invaluab...

Please sign up or login with your details

Forgot password? Click here to reset