why spatial data from a data perspective
why spatial data from a data perspective
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Playlist on understanding spatial data science: • Understanding spatial data Science
In the previous lecture, we attempted to answer the question, "Why is spatial data so important?" looking at the technical perspective
In this lecture, we'll discuss the answers to the same question. "Why is spatial special?" From perspectives of spatial data characteristics and analytics.
The next slide shows the outline of the presentation. The following will be discussed:
• The first law of geography, is about spatial autocorrelation issues.
• Coordinates systems, issues on the transformation between 3D and 2D space.
• Uncertainty which is about the fact that spatial data is basically probabilistic.
• Modifiable Areal Unit Problem, different aggregations would make different outcomes in spatial analysis.
Dr. Tobler in 1970, stated the first law of geography, "Everything is related to everything else, but near things are more related than distant things." This is a fundamental concept of spatial autocorrelation applicable to all spatial variables.