Published March 27, 2023
| Version v1
Dataset
Open
Data to support the sample size optimisation part of 'Scalable 3D mapping of cities using computer vision and signals of opportunity'
- 1. University of Glasgow
-
2.
The Alan Turing Institute
Description
Data to support the sample size optimisation part of:
Anahid Basiri, Terence Lines & Miguel Fidel Pereira (2023) Scalable 3D mapping of cities using computer vision and signals of opportunity, International Journal of Geographical Information Science, 37:7, 1470-1495, DOI: 10.1080/13658816.2023.2191674
The authors received the support from the UK Research and Innovation Future Leaders Fellowship “Indicative Data: Extracting 3D Models of Cities from Unavailability and Degradation of Global Navigation Satellite Systems (GNSS)”, grant number MR/S01795X/2, the Royal Society Research Grant, grant reference RSG/R1/180396.
Files
samplesize-main-20220507T215335Z-001.zip
Files
(341.0 kB)
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Additional details
Related works
- Is required by
- Publication: 10.1080/13658816.2023.2191674 (DOI)
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
- Crowd-Sourced Global Navigation Satellite Systems (GNSS) Data for Indoor Positioning RSG/R1/180396
- Royal Society