The following concpets are helpful for discriminating model types.
RC tools are deployed to users thorugh a variety of interfaces:
- : ArcGIS AddIn ArcGIS AddIn Toolbar in ArcGIS
- : ArcPy Toolbox in ArcGIS
- QGIS Plugin = Toolbar in QGIS
- : CLI = Command Line Interface
- : GUI = Graphical User Interface
- : Web = interactive web site
- : API = Application Programming Interface
- : PWA = Progressive Web App
Most tools have just one deployment interface, some have multiple.
We classify the grade of our tools according to their growth from innovative research ideas, through to operational tools in development that (with a little love and patience) can be run by someone other than the developer, on through to more broadly deployablle professional tools that are robust and usable by any user in very diffferent settings.
Our RC Techncial Committee ranks a tool’s grade using the following criteria:
|Tool Status||Badge||Vetted in
|TR3||Proof of Concept||
None or Not Applicable: • Minimal or In Progress: • Functional: • Fully Developed:
NOTE - The RC does not track concepts or proof of concept tools in its listing. Only
Technological Readiness Levels
These ideas are based on the concept of Technological Readiness Level (TRLs), as originally developed by NASA. The TRLs provide a way to discriminate between concepts and products that are in research phases, in development phases, or ready for deployment to broader audiences or makert. TRLs are illustrated below (from twi-global) and formally defined by the European Union:
Why Bother? Why Go Beyond Research-Grade?
If you’ve gotten to the bottom of this page, you presumably scrolled through or read a bunch of detail trying to encourage investment in making tools Riverscapes-Compliant and hopefully profossional, production or commercialized. The reason is simple. If we believe our science is good enough to inform management, inspire the public to conserve and restore riverscapes, then we need to make the tools that represent that science scalable and accessible. If our science is only relevant to other scientists, then we at least should meet a standard of practice of transparency and reproducability.
Put another way, when we invest in scalability, and adhre to a shared set of common goals, bigger things can happen. One such example is, ironically, how Bezos led Amazon to operate. The video below is a recap of a point Philip Bailey made recently: