DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.
Access EMODnet Web Coverage Service data through R
Access EMODnet Web Feature Service data through R
This repository contains exemplary workflow using programming tools and libraries for data rescue of historical biodiversity data. These tools combine OCR and text mining approaches to retrieve valuable information like species, functional traits and environments.
User Guide of the Data Interpolating Variational Analysis (Diva) software tool
Modules for data transformation in the MSP Italian plan
Spatial analysis of vessel traffic density and threatened marine species occurrences across Scandinavia (2017–2024), combining EMODnet, OBIS and Marine Protected Area data to assess shipping exposure using Python and R.
HydroQC Mini is a lightweight Python tool that runs quick QA/QC on EMODnet bathymetry/DTM GeoTIFF tiles and exports a markdown report, JSON summary, and diagnostic maps (depth, missing data, outliers, slope, roughness).
Geospatial portfolio: bathymetry, cartography and reproducible GIS workflows
Interactive map of cetacean observations and vessel strike risk in Norwegian and surrounding waters. Conservation screening tool with peer-reviewed collision risk formulas.
🌊 Generate quick quality checks and diagnostic maps for EMODnet bathymetry GeoTIFFs with this lightweight Python tool.
Geospatial monitoring platform for offshore energy infrastructure. Visualizes oil & gas platforms, wind farms, wells, and pipelines using React, TypeScript, Supabase, and PostGIS. Data from EMODnet and BOEM.
🌊 Generate quick quality checks and diagnostic maps for EMODnet bathymetry GeoTIFFs with this efficient Python tool.
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