Machine learning often evokes images of Skynet, self-driving cars, and computerized homes.
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Machine learning often evokes images of Skynet, self-driving cars, and computerized homes.
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.
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.
This workshop will provide a comprehensive overview of graphics in R, including base graphics and ggplot2.