Database analysis
Carried out by the Foundation's team
What can be learned from an environmental database that already exists?
Concrete answers to management questions: trends over time, spatial patterns, relationships between variables and differences between sites or seasons, with reproducible statistical and spatial analysis. Many institutions have years of data that has never been analysed.
Who's behind it
Laura Carolina Rodríguez Rey does spatial and statistical analysis in R, Python, SPSS and PostGIS. Esteban René Andrade has analysed fishing processes by cleaning and interpreting field databases. See the team.
What you get
- Cleaning and quality control of the database
- Statistical and spatial analysis, with the scripts that reproduce it
- Maps and charts
- Report with results and interpretation
Timeline
2 to 6 weeks.
How we do it
- Quality control and cleaning of the database
- Descriptive and inferential statistics in R, Python or SPSS
- Spatial analysis, raster and vector, in PostGIS and QGIS
- Reproducible scripts delivered with the results
Regulatory framework
- Darwin Core standard for the structure of biodiversity data
- Colombia — Law 1581 of 2012 when the database contains personal data
Request a quote
Tell us about the project, the ecosystem and the timeline. We reply with a scope and an estimate — or we tell you frankly that this is not for us.