Hi, I am Luíz Fernando Esser, a researcher with a main interest in biodiversity patterns and how they will change with climate change. I have a background in species distribution modeling and have started my journey into machine learning methods to improve my modeling approaches. With this blog, I aim to spread functions that I write in R, as well as general ideas regarding species distribution modeling and machine learning.
How to start?
Below you will find my last posts, but you can also do a search or click in Posts in the main menu.
Strategies for Model Validation
High validation values do not always mean that the model is good. It could only mean that the test was too easy. Species Distribution Modeling (SDM) is a Machine Learning (ML) approach to detect species given its occurrence information. Both in SDM and ML the validation process is a crucial step to know how good…
Retrieving PaleoClim data with R
I am currently working with some projections to past scenarios and decided to go with PaleoClim data, once they have multiple steps in time and not just the usual current, mid-holocene and last glacial maximum. So, inspired in a function I made to retrieve CMIP6 data from WorldClim 2.1, I build this function to help…
Retrieving CMIP6 data through R
Raster package has the incredible getData function, which easily retrieves data from different data sources, including CMIP5 data from WorldClim 1.4. As it is the very best way to make this data available through R, I frequently receive questions about CMIP6 data. For this purpose I have created the following function. If you want to…
Luíz Fernando Esser 