(Revised v2) Optimising for equity: Sensor coverage, networks and the responsive city

v2.2: Revised figures.

Code for generating figures in the paper "Optimising for equity: Sensor coverage, networks and the responsive city", pre-print available here: https://doi.org/10.21203/rs.3.rs-902765/v1

Includes the ability to run a single-objective greedy algorithm or multi-objective genetic algorithm (NSGA2) on any local authority in England & Wales.

What's Changed

• Update paper figures by @jack89roberts in #37
• Add API end-point to compute coverage for user-defined networks by @jack89roberts in #39
• R2 reviewer comments by @jack89roberts in #51

Full Changelog: v2.0...v2.2

(Revised) Optimising for equity: Sensor coverage, networks and the responsive city

v2.1: Revised figures.

Code for generating figures in the paper "Optimising for equity: Sensor coverage, networks and the responsive city", pre-print available here: https://doi.org/10.21203/rs.3.rs-902765/v1

Includes the ability to run a single-objective greedy algorithm or multi-objective genetic algorithm (NSGA2) on any local authority in England & Wales.

Optimising for equity: Sensor coverage, networks and the responsive city

Code for generating figures in the paper "Optimising for equity: Sensor coverage, networks and the responsive city", pre-print available here: https://doi.org/10.21203/rs.3.rs-902765/v1

Includes the ability to run a single-objective greedy algorithm or multi-objective genetic algorithm (NSGA2) on any local authority in England & Wales.

Greedy optimisation for Residents and Workplace

Optimisation code and API with:

• Greedy algorithm
• Output area stats
  • Residential population by age
  • Place of work
• Population weighted output area centroids as sensor sites.
• Weighted combination of residential population (by age) and workplace in a single objective optimisation.