the towardTreeEquity package is a flexible spatial and statistical scaffold that harmonizes foundational datasets and makes them queryable, so team members can build their own modular research modules on top of it. this is a research engine that can power critical social and environmental infrastructure queries, extending past just planning trees.

Bronze → Silver → Gold

• So, we’re going to start out with a data lake, and use the metadata that we get from that data lake to engender the silver layer, which is perfect for deep data analysis and creating new models. We will then be able to use that layer to create the gold layer, which is the purpose-built, aggregated, or filtered datasets for specific end-users and applications. So, we can think of these as our final layer, or dashboards. This will help us balance scalability with ML-readiness and create beautiful, local data marts specific to the rich community architecture of specific ecosystems.

• Approach Overview—Start Here

• Goals:

• Definitions

• Prompting → Use these summaries to set up a conversation with your preferred coding agent.

• Standardization

• Project Roadmap

• Additional Reading

• Recipe/Ingredient Approach

New York City Parcel Data

• What uses have emerged for the Office of Emergency Management
  • Standardizing national disaster planning and responses, distributing federal aid.

Replicating the Nanjing Study

• Statistical Assumptions & Strength of Provided Evidence
• Data Requirements
• Build Update Rundown:

Dataset Access