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urbanjuhyeon/urban-wifi-sensing-toolkit: WiFi Sensing Toolkit for Urban Studies — v1.2.0

Authors: Juhyeon Park;

urbanjuhyeon/urban-wifi-sensing-toolkit: WiFi Sensing Toolkit for Urban Studies — v1.2.0

Abstract

An open-source R toolkit that processes raw WiFi probe request data into five urban analytics metrics: Location, Count, Track, Identity, and Activities. What's included Full documentation as a Quarto Book: https://urbanjuhyeon.github.io/urban-wifi-sensing-toolkit/ R scripts for all five metrics Sample datasets for hands-on tutorials (see workflow/ directory) Sample data sample_raw.zip — raw SQLite probe data for aggregation tutorial sample_main.zip — WiFi detections, sensor locations, and POI for metric extraction (Ch. 4) sample_loc.zip — GPS ground truth and WiFi detections for location accuracy validation Requirements R ≥ 4.1, see Installation for full setup instructions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average