Four Disciplines of spatial data science
disciplines of spatial data science
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Playlist on understanding spatial data science: • Solution structures of spatial data scienc...
Welcome back, ladies and gentlemen. In the previous video, we discussed understanding spatial data Science where we started with the definition of spatial data science and later discuss the unique aspects of spatial data science. We also answered the question why is spatial data science so important? One of the answers was, that spatial is not simply GIS, DBMS, data analytics, or big data problem. It is rather the combination of all the disciplines.
Kindly watch the previous video on understanding spatial data in parts 1 and 4. The link is in the video description section.
In this video, we’ll discuss Solution Structures of Spatial Data Science Problems under the topic of spatial data science and applications. The Outline of today’s lecture will include:
• Four Disciplines for Spatial Data Science and Applications
• Open-Source Software
• Spatial Data Science Problems
• Spatial Data vs. Spatial Big Data
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