Computationally scalable geospatial network and routing analysis through multi-level spatial clustering
ContributorsChambers, Jonathan
Published inMethodsX, vol. 7, no. 101072
Publication date2020
Abstract
Keywords
- Energy
- Thermal networks
- Geospatial
- Graph theory
- Data science
Research group
Citation (ISO format)
CHAMBERS, Jonathan. Computationally scalable geospatial network and routing analysis through multi-level spatial clustering. In: MethodsX, 2020, vol. 7, n° 101072. doi: 10.1016/j.mex.2020.101072
Main files (1)
Article (Published version)
Identifiers
- PID : unige:146043
- DOI : 10.1016/j.mex.2020.101072
ISSN of the journal2215-0161