Hi, great video! I wanted to know how the grid in 0:08 that encloses the points is chosen. Is it arbitrary? Because it does affect the weights later on. Thanks!
@@DonBoyes oh I wasn't clear enough. I know a little about this since I implemented it on python but what I wanted to know is how arbitrary is the rectangular box that encloses the entire voronoi diagram because the outer cells would be non-finite geometrical shapes.
@@hatim010 It's fairly arbitrary. Sometimes you might have some rationale for choosing a specific distance, but generally it is the same as defining any study area.
Great explanation. Clear and straightforward. Thanks!
This is great. Great simple explanation and visualization. Thank you.
Glad it was helpful!
Outstanding explanation
Wow, thanks! Glad it was helpful Joel.
awesome video
Thanks!
Hi, great video!
I wanted to know how the grid in 0:08 that encloses the points is chosen. Is it arbitrary? Because it does affect the weights later on.
Thanks!
they are called Thiessen polygons - you can learn more about them in this video: ruclips.net/video/E-s1p5yQWI0/видео.html
@@DonBoyes oh I wasn't clear enough. I know a little about this since I implemented it on python but what I wanted to know is how arbitrary is the rectangular box that encloses the entire voronoi diagram because the outer cells would be non-finite geometrical shapes.
@@hatim010 It's fairly arbitrary. Sometimes you might have some rationale for choosing a specific distance, but generally it is the same as defining any study area.
@@DonBoyes I see now, thanks a lot!
@@hatim010 You're welcome!
thanks so much for this video
You're very welcome!
Great Video! Please make a video on GIS Models (Binary, Index, Regression, and Process). That will be helpful
WItam to ja michalski: to nie to 0,1 dla pana