Spatial Data Mining
Spatial Data Mining is the process of discovering interesting and previously unknown,
but potentially useful patterns from large spatial datasets. Extracting
interesting and useful patterns from spatial datasets is more difficult than extracting
the corresponding patterns from traditional numeric and categorical data
due to the complexity of spatial data types, spatial relationships, and spatial autocorrelation.
Give me some example, please ?. I am interesting about this theme.
What is spatial autocorrelation actually means?
I though that this is about mapping for mining industry… :p
heuheuhuee….
OK, thanks a lot for your attention and appreciation about my first blog, for detail explanation I promise coming soon.