Published July 28, 2021
| Version v1
Software
Open
Indicative-Data-Science: samplesize
Description
Work to investigate the effect of sample size on efficiency of GNSS mapping algorithm. Requires gnssmapper package Sourcecode comprises 3 scripts:
- metrics.py - sample size metrics and relationship with algorithm accuracy
- freespace.py - Efficiency of data collection across time and space for the scenario of an idealised standalone simple building.
- scenarios.py - extends efficiency studies to real physical scenarios.
Files
samplesize-main.zip
Files
(67.3 MB)
| Name | Size | Download all |
|---|---|---|
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md5:308ea99ed1e367df676770b250d45f1a
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Additional details
Funding
- Indicative Data: Extracting 3D Models of Cities from Unavailability and Degradation of Global Navigation Satellite Systems (GNSS) MR/S01795X/2
- UK Research and Innovation
Software
- Repository URL
- https://github.com/Indicative-Data-Science/samplesize