Data only becomes valuable when it tells a story, and the way it’s presented is key to how that story is received, understood, and shared. By presenting data visually, it becomes more accessible, engaging, and meaningful for both technical and non-technical audiences. It helps reveal patterns, trends, and relationships within the data, allowing users to quickly grasp insights and make informed decisions.
Both our GIS and Science Interpretation teams are closely aligned and frequently work together to ensure the accessibility and engagement of all our project outputs. Using powerful tools like ArcGIS and Adobe, creating maps, apps and dashboards provide quick, easy and effective ways to visualize and share new ideas with a broader audience.
Custom Land Cover Database (LCDB) Basemap EOS Ecology
When studying rivers and their upstream catchments, variation in land cover can offer valuable clues and context to the patterns observed in the downstream river channel. Gaining a broader understanding of the surrounding landscape enables more informed decision-making, but interpreting different land classifications and understanding their implications can be challenging. We have simplified the publicly available national land cover database by refining each category into groups that share common themes related to upstream land use activities, enabling us to better assess their potential influence on water quality within the catchment and support more effective environmental management decisions.
'Streamed' DashboardsEOS Ecology
‘Streamed’ is a community-based water quality monitoring platform, which you can find out more about here. GIS plays an important part in this project by providing the tool for recording the field data via a simple online form, which community groups and schools can use with minimal training or support. When data is submitted, it is automatically processed and displayed on a web map, presented on dashboards to provide users, and anyone interested, with useful water quality information.
