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.
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Training: Geospatial Data in R: Part 2
May 9, 2019
Geospatial data are an important component of social science and humanities data visualization and analysis.
Training: Geospatial Data in R: Part 1
May 7, 2019
Geospatial data are an important component of social science and humanities data visualization and analysis.
Training: R Fundamentals: Part 1
May 6, 2019
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.
April 25, 2019
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, an
April 25, 2019
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, an
April 23, 2019
This workshop introduces the basic concepts of Deep Learning - the training and performance evaluation of large neural networks, especially for image classification, natural language processing, an
