Lesson12

From Geospatial Analytics and Applications
Revision as of 23:00, 14 February 2019 by Tskam (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

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