Difference between revisions of "Lesson12"

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=Lesson competencies=
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=Must do=
  
=Technical References=
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Read:
  
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O’Sullivan, D., and Unwin, D. (2010) Geographic Information Analysis, Second Edition. John Wiley & Sons Inc., New Jersey, Canada. Chapter 5-6.
  
=Application References=
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“4.3.4 Density, kernels and occupancy” in De Smith, M. J., Goodchild, M.F., and Longley, P.A. (2018) Geospatial Analysis: A Comprehensive Guide to Principles Techniques and Software Tools (6th edition) [http://www.spatialanalysisonline.com/HTML/index.html?queries__computations_and_dens.htm]
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=In-Class Exercise=
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* Hands-on Exercise 8. The handout and data sets are available at course eLearn.
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=R Packages=
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* '''spatstat''': Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests [https://cran.r-project.org/web/packages/spatstat/index.html]
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* Getting Started with spatstat [https://cran.r-project.org/web/packages/spatstat/vignettes/getstart.pdf].
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* Handling shapefiles in the spatstat package [https://cran.r-project.org/web/packages/spatstat/vignettes/shapefiles.pdf]
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=References=
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==Methods==
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Brunsdon, C. & Comber, L. (2015) '''An Introduction to R for Spatial Analysis & Mapping''', SAGE, London. Chapter 6.
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==Applications==

Latest revision as of 23:00, 14 February 2019

Claraview.png IS415 GeoSpatial Analytics and Applications

About

Weekly Session

Take-home Exercises

Geospatial Analytics Project

Course Resources

 


Content

  • What is geospatial analytics?
  • Motivation of promoting geospatial analytics
  • Case study
  • An overview of Geographic Information Systems (GIS)
  • GIS versus Geospatial Analytics


Must do

Read:

O’Sullivan, D., and Unwin, D. (2010) Geographic Information Analysis, Second Edition. John Wiley & Sons Inc., New Jersey, Canada. Chapter 5-6.

“4.3.4 Density, kernels and occupancy” in De Smith, M. J., Goodchild, M.F., and Longley, P.A. (2018) Geospatial Analysis: A Comprehensive Guide to Principles Techniques and Software Tools (6th edition) [1]


In-Class Exercise

  • Hands-on Exercise 8. The handout and data sets are available at course eLearn.


R Packages

  • spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests [2]
  • Getting Started with spatstat [3].
  • Handling shapefiles in the spatstat package [4]


References

Methods

Brunsdon, C. & Comber, L. (2015) An Introduction to R for Spatial Analysis & Mapping, SAGE, London. Chapter 6.

Applications