Leonardo M. Bastos

Assistant Professor, Integrative Precision Agriculture

University of Georgia

Welcome!

Hey there. I’m Leo Bastos, Assistant Professor at the University of Georgia with a passion for agronomy, statistics, data analytics and viz, and big data. I have taught and led multiple courses on learning R for agricultural data wrangling, modeling, and visualization. This blog is intended as a personal repository of my own data analysis projects, and as a way to share my scripts. Feel free to use this blog as a resource, and drop me a note if you find it useful! Cheers.

Interests

Soil Fertility/Crop Nutrition
Remote Sensing/GIS
Statistics
Data Analysis/Data Viz

Education

Ph.D. in Soil Fertility/Precision Agriculture with minor in Statistics, 2019

University of Nebraska-Lincoln
M.Sc. in Soil Microbiology, 2014

Kansas State University
B.Sc. in Agronomy, 2012

Federal University of Santa Maria - Brazil

Blog Posts

Research workflow - some guidelines from designing a study to publication

Some tips and thoughts for graduate students on different steps of a research project as it relates to data and analysis.

5 things I wish I knew in my first semester of grad school - Data organization

Data organization tips I wish I knew in my first semester of grad school

Treatment vs. Experimental design - what is the difference?

Have you ever wondered about the difference between treatment and experimental design? This post outlines their differences, the objectives of each, and demonstrates an applied agronomic example.

Blogging with RStudio - an example with the 2020 KSUCrops team data

This post was written as a demo for the 2020 KSUCrops team on how to blog using RStudio.

Data wrangling - an applied example with corn hybrid and nitrogen rate effect on plant height

Learn how to wrangle a corn plant height dataset, including filtering and selecting information based on row and column data, creating new variables, uniting two columns into one, gathering columns and summarizing data.

Nebraska state and counties boundary map with POI and spatial data display

Learn how to create a US state map including state and county borders, points identifying specific locations, and color coding according to a spatially-recorded variable.