R Fundamentals Part 4: Putting it all together
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R Fundamentals Part 3: Data Exploration and Analysis
Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field.
Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc.
Geospatial data are an important component of social science and humanities data visualization and analysis.
Geospatial data are an important component of social science and humanities data visualization and analysis.
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a
This workshop will provide an introduction to graphics in R with ggplot2.