Researchers convene to build a first-of-its-kind data repository for tracking greenspace and health
By Jennifer Biddle
On May 29, 2026, the UC Davis Center for Occupational and Environmental Health hosted a workshop on “Establishing a Nationwide Repository of Spatial Metrics of Nature.” Some 20 researchers, technology experts and agency representatives from across the U.S. and Europe met in person and online to begin development of a web-based tool that can measure the impact nature has on health. Support for the workshop came from the REI Cooperative Action Fund.
All the trees that line our streets and grow in our parks and yards clean our air, protect us from the hot summer sun and lower energy costs by shading our homes… Our urban forest makes our city livable, and we must take care of the nature that cares for us. New York City Mayor Zohran Mamdani
By now, most Americans know what a heat dome is because many have lived through one. As summers grow hotter and cities search for ways to reduce heat, improve air quality and support public health, nature is having its moment. Trees, parks, gardens and other greenspaces are increasingly being looked to for solutions.
In New York City, “Vital Parks for All” is investing billions of dollars in neighborhoods to expand access to quality greenspaces through park acquisitions, infrastructure upgrades, new facilities, improved park maintenance and tree planting in its most heat-vulnerable communities. And the city’s 2026 Urban Forest Plan hopes to increase its tree canopy to 30 percent, which would put it in league with Singapore, one the world’s greenest cities.
But beneath the greenspace enthusiasm lies a more complicated question: Is improving health simply a matter of planting more trees?
That question brought researchers from across the United States and Europe to the University of California, Davis for a workshop hosted by the Center for Occupational and Environmental Health (COEH). Led by COEH Director Peter James, Sc.D., the gathering assembled experts in environmental epidemiology, health geography, GIS, urban planning, climate, neuroscience, technology and medicine to begin designing a nationwide repository of nature-related data.
What Is Nature?
Yet before participants could discuss databases, maps or technology, they found themselves confronting a more fundamental challenge: What exactly is nature?
For decades, researchers have relied on measures such as tree canopy coverage or satellite-based vegetation indices to estimate exposure to nature. But workshop participants argued that these metrics often capture only a fraction of the story.
“Green spaces, which are living organisms, grow over time. They die, they change throughout the seasons, they rustle on the winds,” said Ray Yeager, Ph.D., health geographer and assistant professor at the University of Louisville. “Unlike other things, we are co-evolved to be in these spaces.”
Comparing nature to art, Yeager said we could measure how many times a person views art, how pleasing it was, how far a person lived from an art museum and the quality of the art. But how would we measure art that made us feel something unexpected? And how do we distinguish between good and bad art, and who decides if it’s one or the other?
Workshop participants noted that nature can take many forms. It might be a forest, park, schoolyard, garden, cemetery, agricultural land or blue space. And whether some landscapes are managed by people and others mostly untouched, both may offer health benefits. The challenge is determining which characteristics of these spaces matter most.
The Trouble With "Quality"
Like the overall concept of nature, nature’s quality is hard to define. Two neighborhoods can have the same amount of vegetation but provide very different experiences. One can offer biodiversity, shade and public access, while another may be inaccessible, poorly maintained or ecologically degraded. A park that has trash, broken equipment and crime that keeps people at bay could still cool the surrounding neighborhood and reduce air pollution. A highly manicured landscape may feel inviting but drain water resources.
Even something labeled "greenspace" on a map may turn out to be largely paved. And yet, if a park is completely hardscaped, it can still have a lot of value for the physical activity it provides, said Anne Neale, Ph.D., a research scientist with the U.S. Environmental Protection Agency.
Adding more complexity, researchers discussed the need to synchronize timeframes for data collection across states, the varying quality of data sets between locales, and differences in public and proprietary information. Nothing is static, they said, including climate and environmental policies aiming to shape the landscapes researchers are trying to measure.
“Fire is a driver of change,” said Dr. James, referring to an upcoming policy change. In California, 5 million people live in a high-severity fire zone, and soon, those people will need to remove all vegetation within 5 feet of their home to reduce fire risk, which would potentially decrease canopy cover. A data set that connects policy changes to vegetation data could be interesting and empowering to people, James said.
Another new policy goes into effect on January 1, 2027, when California begins phasing out irrigation of "non-functional" turf statewide, part of a new water conservation law. Lawns and trees that once counted as green will die — or simply stop looking green, even while technically alive — raising thorny questions about how satellite imagery should interpret land that's brown but not really degraded.
James described the current landscape as "a lasagna of different metrics," with the challenge of making disparate data sources work together. The workshop identified more than 50 potential datasets that could contribute to a future repository, from satellite imagery and LiDAR measurements to biodiversity indicators, environmental DNA, geotagged photographs, heat maps, water and dark sky datasets, crime records and street-level imagery.
Use a big data approach and let goal-seeking drive how we come up with intelligence. Jared Hanley, CEO and Co-Founder of NatureQuant
Building a Common Language
Rather than creating another static database, workshop participants envisioned a searchable platform that allows users to zoom into a location, explore available datasets, filter by year or topic and connect environmental information with health outcomes. Researchers were inspired by successful mapping initiatives like UCSF's Health Atlas and the EPA's EnviroAtlas, both of which demonstrate how large, complex datasets can become tools that policymakers, researchers and communities use.
The goal is to build a common framework that would allow datasets to be categorized, compared and linked. Standardizing metadata (descriptions of how datasets are created, measured and maintained) surfaced as a key priority. Without this foundation, comparing studies would be difficult.
The success of the new COEH nature repository depends on how rigorous it is and how well it meets the needs of its users. Researchers suggested using strategic combinations of metrics in a pixel grid and deploying accuracy assessments. Documentation of dataset metadata would also help researchers keep track of the data. Each use case would help determine the types of geographic boundaries to integrate.
“You zoom into your neighborhood. You click on a point or census tract, and we have a list of all the data sets that are available,” James said explaining his vision. “You have a filter. You say, ‘I only want data from 2020 to 2025.’ It gives you the list of data sets that are available.” Each broad category could embed equations or enable quick statistical analyses with publicly available health data, like scatterplots looking at tree canopy cover and depression prevalence.
Being compliant with federal standards for digital accessibility would take time but was important to the project, too. Data cleaning also came up, and while it was not off the table as a potential feature, some said they were wanting to mainly bring all the data sets together and leave the cleaning to others.
Jared Hanley and Chris Bailey ended the session by describing how NatureQuant geo-hashes its data. "[We] use a big data approach and let goal-seeking drive how we come up with intelligence,” Hanley said.
Off-the-shelf, ready-to-go data is what we want to host. UCD Professor Peter James, Sc.D.
Data Innovations
Turning from what the nature repository could house, the workshop focused next on the nuts and bolts of building one. With so much big data out there, constructing a tool that checks all the boxes is a challenge since it needs to be everything all at once: easy to use, fast, accurate, consistent, secure and visually appealing.
Scarlett Gomez, Ph.D., a UCSF professor of epidemiology and biostatistics and director of the Greater Bay Area Cancer Registry, opened with a question she said she used to field constantly, “Why can't we have cancer data below the county level?”
In California, county-level data can obscure important local differences, especially in large counties like Los Angeles. But breaking data down to neighborhoods creates a new problem because many areas have too few cancer cases to generate statistically reliable rates. To overcome this, Gomez and colleagues combined census tracts into larger geographic zones with enough people and cases to produce stable estimates.
“This was a huge advance,” said Gomez. “Multiple states have since taken up the platform and put their own cancer registry data into it.”
That kind of innovative thinking laid the groundwork for the UCSF Health Atlas, a mapping tool Gomez helped develop that's considered the gold standard in public health mapping. The tool launched in California in 2020 and now hosts more than 200 variables from cancer and heart disease rates, to demographics, income and pollution exposure. The data comes from sources like the Census Bureau, CDC and EPA, among others. Users can layer any two variables to see how they intersect, filter down to a single state, and export the underlying data for their own analysis.
At UC Davis, GIS Analyst Peter Flores is leading development efforts for COEH’s nature repository using Databricks, a server within the university's secure data environment. The long-term vision includes multiple access points for different audiences, from public-facing dashboards to advanced analytical tools for researchers.
Databricks is a cloud-based data warehouse that controls who and how people access data, which helps keep it HIPAA-compliant. It can analyze huge data sets quickly and use Notebooks, Python, R, SQL and Scala for data engineering analytics.
One of the big advantages of Databricks is that since it’s HIPPA-compliant, health data can live in it and be linked through a single server. And since it’s part of UC Davis Health, the health system’s electronic medical records can potentially link to it, too.
Databricks uses medallion architecture to organize data into three stages—raw (bronze), cleaned (silver) and business-ready (gold)—so data gets more refined and trustworthy at each step. Although it houses data in all its forms, the final product will be off-the-shelf, ready-to-use, gold-level data.
There also will be multiple access points for different types of UC Davis users, including Databricks SQL Dashboards for non-technical users and Notebooks for data scientists who need to query and do advanced spatial analysis and machine learning.
External users will access the ESRI Enterprise Portal. “It's a lot of out-of-the-box tools, similar to what UCSF is doing with the Health Atlas,” said Flores. Internal and external users will be able to layer data sets and colors to visualize how they intersect.
Scientist Anne Neale ended the session with a tour of the EPA’s EnviroAtlas which she helped to design. EnviroAtlas helps users understand the benefits people get from nature—like clean air, clean water and flood control—and how those benefits relate to human health.
The tool incorporates over 400 data layers nationally, many summarized by 12-digit hydrologic unit codes, or sub-watershed basins, providing roughly 90,000 similarly sized spatial units across the country. Similar to Gomez’s cancer data, it’s another example of a small, consistent geographic unit making environmental and health data meaningful.
Through this nature repository, our goal is to capture the many dimensions of nature so we can better understand its ‘active ingredients’—what aspects of nature matter most for health, for whom, and under what circumstances. Peter James, Sc.D.
What Comes Next
Just 30 miles from UC Davis is America’s greenest city, according to the Treepedia Index. Sacramento, known as the “City of Trees” since its Gold Rush days, has tree coverage averaging an enviable 23.6 percent or almost twice as much as New York City’s.
But those trees are mostly concentrated around a dozen or so neighborhoods. Land Park has the densest canopy at 43 percent, which is nearly double the city-wide average. It’s also one of Sacramento’s wealthiest districts, highlighting a greenspace policy gap researchers need to address.
While the workshop agreed there’s no universal definition of nature and the environment can drive different health outcomes, participants also took away a clearer understanding of the gaps and began developing a roadmap for filling them. The group hopes to launch a beta version of the nature repository in late 2026 or early 2027 then work with researchers, community organizations and partner institutions to refine it.
This effort reflects a growing recognition that nature may be one of society's most promising public health tools, but understanding why it works, for whom and how to make its benefits available to everyone means more than planting trees.
"Nature is complex, and it can affect health in many different ways. Through this nature repository, our goal is to capture the many dimensions of nature so we can better understand its ‘active ingredients’—what aspects of nature matter most for health, for whom and under what circumstances,” said Peter James. “By putting these data in the hands of researchers and the public, we hope to accelerate discovery and ultimately help identify the kinds of nature-based interventions that can have the greatest impact on health. And that’s what makes this so exciting."
Jennifer Biddle is a health and science writer, editor and video producer at the UC Davis School of Medicine.