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