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
December 7, 2018
Geospatial data are an important component of social science and humanities data visualization and analysis.
Training: Geospatial Data in R: Part 1
December 6, 2018
Geospatial data are an important component of social science and humanities data visualization and analysis.
Training: Geospatial Data in Python with GeoPandas
November 27, 2018
Geospatial data are an important component of social science and humanities data visualization and analysis.
November 16, 2018
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.
Training: Introduction to Crowdsourcing in Research: A discussion with Kate Beck on benefits and concerns
November 27, 2018
Crowdsourcing is a method increasingly used in qualitative, quantitative, and mixed-methods research.
Training: Git Fundamentals
December 10, 2018
Git is a powerful tool for keeping track of changes you make to the files in a project.
November 27, 2018
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes.
November 26, 2018
Machine learning often evokes images of Skynet, self-driving cars, and computerized homes.
Training: ArcGIS Online: Parts 1 & 2
November 2, 2018 to November 9, 2018
This 2-part workshop will introduce the ArcGIS Online (AGOL) platform. AGOL is a web-based mapping software that allows you to build maps and explore data online.
