Environmental Informatics is broadly defined as an interdisciplinary effort to apply information technology and data analysis to research and understand our environment. This may include creating, collecting, storing, processing, modeling, interpreting, displaying, and sharing environmental information. At ESI we manage several database, process specimens, create or maintain models, develop educational programs, provide outreach, and more. We house expertise in Remote Sensing, GIS, Acoustic workflows, Python/R/JS, SQL, 3D Modeling, and Species Distribution Modeling.
Informatics & Data
Geographic Information Systems (GIS)
ESI has GIS expertise creating, analyzing, and managing spatial data and databases. We can assist in curating GIS datasets, discovering new data, conversions, and analysis. From least cost path analysis, network routing, maximum entropy modelling, NetLogo, bathymetry estimation, watershed analysis, rainfall time series, and web enabled interactive maps we can help with your spatially oriented projects. We also have experience in Remote Sensing and analysis including Digital Elevation Models (DEM), LiDAR analysis, land-cover/land-use classification and more.
Applications, Visualizations, & Web
There are many ways to deliver a visualization of your results, whether its to a journal, colleagues and collaborators, or the public. We have experience making web apps to check and share results among colleagues and striking visualizations for outreach. We can also create custom input applications to help manage incoming data to reduce strenuous repetition and assert data integrity. Whether python to SQL workflows, R-Shiny or Svelte/JS web applications, A-Z analysis pipelines in R contact ESI to see if we can help your project.
Data & Databases
At ESI we maintain spatial and environmental datasets such as weather station data from OKEON field sites, camera trap and acoustic metadata, and specimen information. We also acquire large datasets such as JMA (Japan Meteorological Agency) weather data for Okinawa, Soil distribution maps, and time-series LandSat imagery.
Previous Work Examples
3D Visualization
This is a 3D render from Blender using a micro-CT scan from the "Biodiversity and Biocomplexity Unit" at OIST. Original CT Scan from Cong Liu, 3D-Model made by Kenneth Dudley (ESI). CT scan was cleaned to replace missing portion of leg where it was pinned, clarify geometry, and textures added via nodes and vertex shaders in Blender Cycles in accordance with high quality reference z-stacked micro photograph.
Scan by Cong Liu, 3D Model/Video by Kenneth Dudley
Kenneth Dudley