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Build a simple streamlit app that demonstrates how agent/LLM features can provide insights for a portfoio of Key Biodiversity Areas (KBA). These insights pull from rich descriptive metadata about the KBA, and support statements with calculations using GFW/LCL data.
What does the user want to achieve? For each, define list of pass/fail criteria that must be met for the user story to be considered complete, from the users' perspective (if known)
When I am selecting a portfolio of KBAs, I want to filter by multiple countries, so that I can see insights for areas relevant to me (often across border e.g. Amazon, Congo Basin etc)
When I select a portfolio of KBAs, I want to see a summary description of that Portfolio (habitats/ecosystems, species etc), so that I can quickly understand some characteristics about the areas in general
When I select a portfolio of KBAs, I want to see a description of the threats and pressures to biodiversity that Portfolio faces (deforestation trends, drivers of land cover change), so that I can quickly understand the context of those areas e.g. which species or habitats are being affected and how
When I select a portfolio of KBAs, I want to see a summary of the state of ecosystem health across the Portfolio (the amount of conservation coverage, tree cover and tree cover gain), so that I can quickly understand some characteristics about the areas in general
When I am trying to understand an insight, I want to see related data layers on the map, so that I can contextualise statements
When I am trying to understand an insight, I want to see supporting data and analysis, so that I can trust in the descriptive statements
When I am planning actions, I want to know the key actors (e.g. those managing the land, so that I can engage with those organisations or communities to protect and restore nature.
Hints
Suggestions or hints on how to get started or go about achieving the goal of the epic.
Future work
What does this unlock later (that is out of scope here)?
The text was updated successfully, but these errors were encountered:
Goal(s)
Build a simple streamlit app that demonstrates how agent/LLM features can provide insights for a portfoio of Key Biodiversity Areas (KBA). These insights pull from rich descriptive metadata about the KBA, and support statements with calculations using GFW/LCL data.
Data and metadata here
Example insights
The app should:
Scope
Define the limits of the work to be carried out; what is included or not included?
User Stories & Acceptance Criteria
What does the user want to achieve? For each, define list of pass/fail criteria that must be met for the user story to be considered complete, from the users' perspective (if known)
Hints
Suggestions or hints on how to get started or go about achieving the goal of the epic.
Future work
What does this unlock later (that is out of scope here)?
The text was updated successfully, but these errors were encountered: