Notice of Intent to Direct Award - Skeena Wildlife Ecological Resource Model (SkWERM) Resource Rating model Python to R conversion
Solicitation number 186965
Publication date
Closing date and time 2024/01/19 19:30 EST
Description
The high-level details of the contemplated contract are generally described below.
The contractor will (1) build on existing work to translate the Python script of the grizzly bear and moose Resource Rating Model (RRM) component of SkWERM into program R and (2) convert the RRM process to rasters. In addition, the contractor will (3) update the SkWERM R script to assign burn severity ratings from past wildfires to polygons, and update functions that run the VRI-BEM component of the model to add functions for BEU checks and corrections, and (4) convert the proximity analysis component of the script from Python to R. This work requires previous knowledge of the linkages between the different components of the model, as well as the inner workings of the RRM input, resource ratings, site values, and modifiers.
Translating the RRM and proximity analysis scripts into R will allow for a more seamless running of the SkWERM. Converting the RRM into a process that uses rasters will prevent the loss of information due to the spatial aggregation of data. Incorporating burn severity ratings allows us to adjust habitat characteristics in the model to better match real-world conditions and allow for better processes to keep the model up-to-date.
The contractor will (1) build on existing work to translate the Python script of the grizzly bear and moose Resource Rating Model (RRM) component of SkWERM into program R and (2) convert the RRM process to rasters. In addition, the contractor will (3) update the SkWERM R script to assign burn severity ratings from past wildfires to polygons, and update functions that run the VRI-BEM component of the model to add functions for BEU checks and corrections, and (4) convert the proximity analysis component of the script from Python to R. This work requires previous knowledge of the linkages between the different components of the model, as well as the inner workings of the RRM input, resource ratings, site values, and modifiers.
Translating the RRM and proximity analysis scripts into R will allow for a more seamless running of the SkWERM. Converting the RRM into a process that uses rasters will prevent the loss of information due to the spatial aggregation of data. Incorporating burn severity ratings allows us to adjust habitat characteristics in the model to better match real-world conditions and allow for better processes to keep the model up-to-date.
Contract duration
The estimated contract period will be 3 month(s).
Trade agreements
-
Please refer to tender description or tender documents
Contact information
Contracting organization
- Organization
-
Ministry of Water, Land and Resource Stewardship
- Contracting authority
- Karine Pigeon
- Email
- Karine.Pigeon@gov.bc.ca
Bidding details
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