Spatial Data Mining I: Essentials of Cluster Analysis

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Whenever we look at a map, it is natural for us to organize, group, differentiate, and cluster what we see to help us make better sense of it. This session will explore the powerful Spatial Statistics techniques designed to do just that: Hot Spot Analysis and Cluster and Outlier Analysis. We will demonstrate how these techniques work and how they can be used to identify significant patterns in our data. We will explore the different questions that each tool can answer, best practices for running the tools, and strategies for interpreting and sharing results. This comprehensive introduction to cluster analysis will prepare you with the knowledge necessary to turn your spatial data into useful information for better decision making.

[@andikahadi7023]

they really deliver the presentation thorough but also fun and casual (Y)

[@219parrot]

This is so helpful! Thank you so much for your detailed and clear explanation/guide to performing a Hot spot analysis

[@Imran_et_al]

The presentation is so overwhelming in terms of the quality of the content. Thank You.

[@Ryan125y]

Thank you for adding the big "easy" button, defaults are great

[@johng5295]

Thanks in a million. Great content. Awesome. Very well explained. I couldn't find this explanation--simply put anywhere else. Great teachers are hard to find. Grade: A++💥

[@ewanharris5433]

This is absolutely brilliant - Pity the software is so expensive esp with exchange rates - SA

[@aben8763]

you can always get the trial version,

[@peterj9351]

Use R and/or QGIS. Problem solved!

[@ewanharris5433]

@@peterj9351
Thx Petr Will try R in combination

[@renatohingel1376]

Ótima explicação. Bastante didática e com muito exemplos. Parabéns e obrigado pela disponibilização

[@DjimeDourado]

Amazing explanation, congratulation!

[@rumanzihypolite4663]

i didn't get the difference between distance band and cell size. Can anyone explain to me?

[@brianac7273]

This was incredibly helpful. Thank you for sharing!

[@mohammadjahidulislamtushar9214]

is the hotspot or Cluster and Outlier can be applicable in environment behavioral pattern change?
For example, multitemporal land-use change and the changing pattern could be B-B-S-S-S-S.. this means if one polygon feature contains Barrend land at the initial stage and the next decade it will remain Bareen land but in the 3rd decade it will change in Settlement..thus the other decades change pattern will be...

[@charaznable1114]

I didn’t like heat map either until watched this video, thanks

[@isaaclopezmorenoflores1688]

Very good video!

[@shanthidhivya9678]

It's really a very good presentation 👍

[@jorgekramer1264]

Excellent presentation, very well rounded.

[@vilecypher]

I can totally relate how classifying data into natural breaks and quantiles affects my research hahaha

[@allanaudsley6447]

Can anyone explain to me why the tool specifies the percentage of features that have less than 8 neighbours based on the distance band? What is the justification for 8 neighbours? Thanks.

[@tawilk]

how do you get a census tract map without the population "black plots" already on it? I can only find maps that have population concentrations attached. trying to overlay information on top of these plots does not look good and is hard to read.

[@RomuloMagalhaesAutoTOPO]

Great, thanks.

[@prabeshshrestha145]

very helpful! thanks!

[@arybekham232]

hi how can i learn the math steps of Getis ord Gi* how it works in optimized hot spot analysis
I have been applied on the crimes

[@s.n.g.888]

Business model is a con.👎