Confluence Retirement

In an effort to consolidate USGS hosted Wikis, myUSGS’ Confluence service is scheduled for retirement on January 27th, 2023. The official USGS Wiki and collaboration space is now SharePoint. Please migrate existing spaces and content to the SharePoint platform and remove it from Confluence at your earliest convenience. If you need any additional information or have any concerns about this change, please contact Thank you for your prompt attention to this matter.
Skip to end of metadata
Go to start of metadata

There are many ways to get at this. Please create a section for each proposed method. If the methods description gets large, we'll revisit and decide whether to spawn child pages to host more information.


Non-Spatial/Relational Approach

  • Use something like "TOCOMID" and this algorithm to identify all upstream flowlines
    • recommend using downstream-looking attribute (like "TOCOMID") as opposed to an upstream looking one b/c this method seems like it would be easier to apply across a wider variety of datasets.
    • is there any problem w/divergence?
  • Get relevant attribute(s) for these COMIDs. This could include area, with which to area-weight inputs to the aggregate statistic(s).
  • Compute whatever statistic is desired.

Doing this for a custom-seeded point that is partway down a catchment requires an extra step of raster processing that should be down as an additional process to what's specified above.

To get the starting dataset on which to run the algorithm, syntax could be something like:

networkArr = arcpy.da.TableToNumPyArray(networkFC, ['COMID', 'TOCOMID', <incremental drainage area> , <my_attribute>])
  • No labels