Social and spatial contexts affect health, and understanding nuances of context is key to informing successful interventions for health equity. Layering mixed methods and mixed scale data sources to visualize patterns of health outcomes facilitates analysis of both broad trends and person-level experiences across time and space. We used micro-scale citizen scientist-collected data from four Bay Area communities along with aggregate epidemiologic and population-level data sets to illustrate barriers to, and facilitators of, physical activity in low-income aging adults. These data integrations highlight the synergistic value added by combining data sources, and what might be missed by relying on either a micro- or macro-level data source alone. Mixed methods and granularity data integration can generate a deeper understanding of environmental context, which in turn can inform more relevant and attainable community, advocacy, and policy improvements.

The Idaho Rangeland Atlas is a collaboration of the University of Idaho Library and the University of Idaho Rangeland Center. Its purpose is to provide simple, clear information about Idaho's rangelands using open, accessible web technologies. Leveraging the University of Idaho's investements in geospatial data and infrastructure enable us to present this information. We believe that if an Idaho citizen wants to understand the basic facts of rangeland ecology and space in our state, those facts should be available without the need to engage in advanced analysis or obtain new skills.The lack of an aggregating resource, like a statistical abstract, adds time to process of discovery and delays the ability of users to move on, either to advanced research questions, as they have to answer and prove more fundamental ones first, or to other tasks based on the information that they now have. Given the increasing accessibility of web-based geospatial processing, and the improvement in technology to provide rich, informative, web-based queries of spatial data, the opportunity exists to re-invent the statistical abstract for natural resource and agricultural questions, providing a simple interface to gather facts about the state of Idaho’s rangelands.