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| + | =Content= | ||
| + | * Introducing Spatial Point Patterns | ||
| + | * Techniques for Spatial Point Patterns Analysis | ||
| + | ** Area-based methods | ||
| + | ** Distanced-based methods | ||
| + | * Firs-order Analysis of Point Patterns | ||
| + | ** Kernel density estimation | ||
| + | * Second-order Analysis of Point Patterns | ||
| + | ** The K-function | ||
| + | ** The L-function | ||
| + | ** The G-function | ||
| + | |||
| + | |||
| + | =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. | ||
| + | |||
| + | [https://mgimond.github.io/Spatial/point-pattern-analysis.html Chapter 11: Point pattern analysis] in '''R in Intro to GIS and Spatial Analysis'''. | ||
| + | |||
| + | [https://mgimond.github.io/Spatial/hypothesis-testing.html Chapter 12 Hypothesis testing] in '''R in Intro to GIS and Spatial Analysis'''. | ||
| + | |||
| + | |||
| + | Complete: | ||
| + | |||
| + | ''Chapter 1: Introduction'' and ''Chapter 2: Point Pattern Analysis'' of DataCamp Course on '''Spatial Statistics in R'''. | ||
| + | |||
| + | |||
| + | =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== | ||
Latest revision as of 22:34, 27 February 2019
IS415 GeoSpatial Analytics and Applications
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Contents
Content
- Introducing Spatial Point Patterns
- Techniques for Spatial Point Patterns Analysis
- Area-based methods
- Distanced-based methods
- Firs-order Analysis of Point Patterns
- Kernel density estimation
- Second-order Analysis of Point Patterns
- The K-function
- The L-function
- The G-function
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.
Chapter 11: Point pattern analysis in R in Intro to GIS and Spatial Analysis.
Chapter 12 Hypothesis testing in R in Intro to GIS and Spatial Analysis.
Complete:
Chapter 1: Introduction and Chapter 2: Point Pattern Analysis of DataCamp Course on Spatial Statistics in R.
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 [1]
References
Methods
Brunsdon, C. & Comber, L. (2015) An Introduction to R for Spatial Analysis & Mapping, SAGE, London. Chapter 6.
