Difference between revisions of "Lesson9"

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=Content=
 
=Content=
* What is geospatial analytics?
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* Modelling spatial events on and alongside networks
* Motivation of promoting geospatial analytics
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* Network point density estimation methods
* Case study
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* Network-Constrained K-function
* An overview of Geographic Information Systems (GIS)
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* Network spatial autocorrelation
* GIS versus Geospatial Analytics
 
  
 +
=Must do=
 +
 +
 +
=R
  
 
=Lesson competencies=
 
=Lesson competencies=

Revision as of 22:56, 14 February 2019

Claraview.png IS415 GeoSpatial Analytics and Applications

About

Weekly Session

Take-home Exercises

Geospatial Analytics Project

Course Resources

 


Content

  • Modelling spatial events on and alongside networks
  • Network point density estimation methods
  • Network-Constrained K-function
  • Network spatial autocorrelation

Must do

=R

Lesson competencies

Technical References

Application References