How Can Data Science Advance Ecology Research?
Genstat’s easy-to-use environment is used by many in the ecology sector, particularly its Generalised linear models (GLMs) for analysing non-Normal data, such as counts and proportions. Likewise, ecologists often use multivariate methods for analysing and interpreting biological and environmental ecological data, including principal components analysis, bi-plots, multi-dimensional scaling, canonical correspondence analysis, canonical correlation analysis, discriminant analysis, redundancy analysis and cluster analysis. Many ecology-focused analyses can be found within Genstat’s dedicated ecology tools including investigating and modelling species abundance, calculating diversity indices and estimating the number of species.
In just a few steps or selections from the options menu you can undertake simple or more complex analyses, bringing reliable and accurate analytics to your research.