YEA Lab and YEA Journal: A Data Science Portal and Hypermedia Publication for Place-Based Ecological Monitoring

@techreport{cnl2026yea, author = {}, title = {YEA Lab and YEA Journal: A Data Science Portal and Hypermedia Publication for Place-Based Ecological Monitoring}, institution = {Canemah Nature Laboratory}, year = {2026}, number = {CNL-FN-2026-029}, month = {march}, url = {https://canemah.org/archive/document.php?id=CNL-FN-2026-029}, abstract = {This note captures the design rationale for two interconnected extensions to the Your Ecological Address (YEA) platform: **YEA Lab**, a data science portal for interactive ecological monitoring and analysis, and **YEA Journal**, a hypermedia publication layer that narrates the findings emerging from the platform's accumulating data. Where the field guide presents an interpretive reading experience organized around curated natural areas, the Lab provides the analytical workspace where monitoring data can be explored across time, space, and ecological gradients. The Journal sits between them as the publication layer — a place-based naturalist's magazine that synthesizes trends, highlights discoveries, and links readers into the Lab to explore the evidence behind the stories. Together with the existing field guide, these form a four-part architecture: **Guide** (reference), **Journal** (publication), **Lab** (analysis), and **Archive** (documentation) — each serving a distinct cognitive mode while sharing a common data substrate. The Lab is organized as eight instrument stations along a research workflow, not as independent tools selected from a menu. Each station follows a consistent assess-provision-analyze pattern, supported by a domain-specific Strata AI collaborator. The output of each station feeds the next: a curated place list from the Site Finder becomes the input context for the Climate Analyst, which feeds the Panorama Analyst, and so on through habitat characterization, biodiversity analysis, and pattern detection. A Research Notebook runs alongside the entire traversal, documenting the analytical path in sufficient detail for reproducibility. The Journal \& Publication Designer at the end of the workflow transforms research findings into curated public narratives. The instruments operate across a three-tier data architecture: Level 1 (ecological address data from 21+ geospatial APIs), Level 2 (curated place metadata and enrichment), and Level 3 (continuous monitoring streams from physical, virtual, and human instruments). Each Lab instrument draws from some combination of these levels depending on its analytical purpose.} }