Learning Pathway Gallantries Grant - Intellectual Output 4 - Data analysis and modelling for evidence and hypothesis generation and knowledge discovery
Date: No date given
This Learning Pathway collects the results of Intellectual Output 4 in the Gallantries Project
Keywords: beginner
Learning objectives:
- Clean GBIF dataset for further analyses
- Clean, filter and anlayse data to obtain strong results
- Compute and visualize phenology of a species through the years
- Compute temporal abundance trends
- Deal with paired-end data to create consensus sequences
- Explore Biodiversity data with taxonomic, temporal and geographical informations
- Find and download environmental data
- Find and download occurrences data from GBIF
- Get occurrence data on a species
- Have an idea about quality content of the data regarding statistical tests like normality or homoscedasticity and coverage like temporal or geographical coverage
- Learning how to construct a Generalized Linear (Mixed) Model from a usual ecological question
- Learning how to interpret a Generalized Linear (Mixed) Model
- Learning how to use an ecological analysis workflow from raw data to graphical representations
- Model a theoretical ecological niche and predict species distribution in a future climate scenario by using SDM
- Obtain and filter/manipulate occurrence data
- Partition occurrence data
- Pre-process population data with Galaxy
- Process both occurrences and environmental data
- Upload data from DATRAS portal of ICES
- Visualize the data to understand them
Event types:
- Workshops and courses
Sponsors: Pôle National de Données de Biodiversité
Scientific topics: Ecology
Activity log