Ann Gledson, Douglas Lowe, Manuele Reani, Caroline Jay, Dave Topping

The University of Manchester

 

'Mine the gaps' web application

A tool for dealing with geographically

sparse datasets

 

 

Filling the gaps 

Visualisation tool 

Regional estimations 

Concentric Regions method illustrated on fictional postcode regions

• Regions where sensors exist: take mean
• Regions with no sensors: take mean of surrounding regions
  • Working outwards until sensors found

All code on Github (see links) 

Regional estimations 

• Current implementations are only baselines
• Open source MIT license
• Use as-is or extend as above
• Improve estimation techniques

Visualisation tool 

• Open source MIT license
• Usage:
  • Use web-app as-is (our data)
  • Contribute to and extend web-app code
  • Clone the repository and load in your data
  • Use Docker image to run/host on another machine

• Quick overview of data
• visual patterns
  • estimation methods
  • filtering
• download data
• time-series
• Compare with own data

http://minethegaps.manchester.ac.uk

Links 

• 2016-2019 environment datasets:
  • measurements (original and imputed)
    • https://zenodo.org/record/4416028
    • includes link to extraction and imputation tool set
  • regional estimations (from original and imputed)
    • https://zenodo.org/record/4475652
    • includes link to region_estimators tool
  • Scientific Data paper:
    • https://www.nature.com/articles/s41597-022-01135-6​
• Visualisation Tool:
  • http://minethegaps.manchester.ac.uk/
  • https://github.com/UoMResearchIT/mine-the-gaps