Difference between revisions of "Lesson9"
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=Must do= | =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) [http://www.spatialanalysisonline.com/HTML/index.html?queries__computations_and_dens.htm] | |
| − | |||
| + | =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 [https://cran.r-project.org/web/packages/spatstat/index.html] | ||
| + | |||
| + | * Getting Started with spatstat [https://cran.r-project.org/web/packages/spatstat/vignettes/getstart.pdf]. | ||
| + | |||
| + | * Handling shapefiles in the spatstat package [https://cran.r-project.org/web/packages/spatstat/vignettes/shapefiles.pdf] | ||
| + | |||
| + | |||
| + | =References= | ||
| + | |||
| + | ==Methods== | ||
| + | |||
| + | Brunsdon, C. & Comber, L. (2015) '''An Introduction to R for Spatial Analysis & Mapping''', SAGE, London. Chapter 6. | ||
| + | |||
| + | ==Applications== | ||
Revision as of 22:58, 14 February 2019
IS415 GeoSpatial Analytics and Applications
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Contents
Content
- Modelling spatial events on and alongside networks
- Network point density estimation methods
- Network-Constrained K-function
- Network spatial autocorrelation
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.
