Skip to content

Project Meeting 2024.05.09

Michelle Bina edited this page May 16, 2024 · 10 revisions

Agenda

  • Project Admin
  • Visualization
    • PSRC model validation notebooks
    • SFCTA use of SimWrapper
    • SimWrapper for matrices ("skimwrapper")
  • Technical updates

Meeting Notes

Project Admin

  • There will be another partners-only meeting regarding Phase 9b.
  • Agencies should be receiving paperwork for their next fiscal year contracts.

Visualization

  • PSRC validation notebooks with Quarto
    • Recently received 2023 survey data and wanted to create summaries for each model component to compare model and survey data, via Jupyter notebooks
    • Used Quarto software to create the notebooks – can automatically create reports, books, etc. Similar to rmarkdown, which is more oriented to r. This is more flexible and can be used with python.
    • Quarto allowed them to incorporate all the notebooks into one navigateable html
    • Formatting can be done through a yaml file
    • Option to provide scs files
    • You can interact with the graphs (used plotly), so you can click on/off different data sources
    • Github repo with PSCR validation code
  • SFCTA use of SimWrapper
    • SimWrapper was developed in past phases of ActivitySim work.
    • Managed through yaml files
    • Has ability to do maps of different network-based results
    • You only need to configure this once and it can be applied to any model runs
    • The tables are all markdown files, and charts are based on a few libraries. The maps support comparisons between model runs.
    • Simwrapper accepts geojsons and shapefiles, maybe others, and different projections for mapping.
  • Simwrapper for matrices (“skimwrapper”)
    • Simwrapper is being used with DaySim for SFCTA, with ActivitySim, and now MatSim in europe
    • It now has the ability to load and view/visualization matrices
    • Go to Simwrapper.github.io/staging
      • Scroll down and click on HDF5 matrix table
      • You can drag and drop hdf or omx files and visualize it
      • You can use the map or data view
      • You can set a file as the base and then add another file and do a comparison
      • You need a GeoJSON, but working to add shapefile capabilities
      • You can use QGIS to create a GeoJSON and make sure it uses lat/long

Technical updates

Clone this wiki locally