Difference between revisions of "Lesson05"
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| + | =Content= | ||
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| + | * Introducing Spatial Clustering | ||
| + | * Cluster and Outlier Analysis | ||
| + | ** Basic concepts of Local Indicators of Spatial Association (LISA) | ||
| + | ** Local Moran and Local Geary | ||
| + | ** Moran scatterplot | ||
| + | ** LISA Cluster Map | ||
| + | * Hot Spot and Cold Spot Areas Analysis | ||
| + | ** Getis and Ord’s G-statistics | ||
| + | * Exploratory Spatial Data Analysis (ESDA) | ||
| + | |||
| + | |||
| + | =Must do= | ||
| + | |||
| + | * View | ||
| + | ** Lecture on “[https://www.youtube.com/watch?v=HF25odbiV3U&list=PLzREt6r1Nenlu-MBaxCRL2KZNk62n7o1g&t=0s&index=7 Local Spatial Autocorrelation]” by Luc Anselin (link to 1hr and 20mins video). | ||
| + | |||
| + | * Read | ||
| + | ** Anselin, L. (1995). "Local indicators of spatial association – LISA". ''Geographical Analysis'', 27(4): 93-115. | ||
| + | ** Brunsdon, C. & Comber, L. (2015) '''An Introduction to R for Spatial Analysis & Mapping''', SAGE Publication Ltd., London. Chapter 8: 8.1-8.6. | ||
| + | ** Bivand, R.S., Pebesma, E. & Gómez-Rubio, V. (2013) '''Applied Spatial Data Analysis with R''', 2nd Edition. Springer, New York. Chapter 9: Modeling Areal Data, Section 9.3.2 Local Tests. This is an e-book. | ||
| + | |||
| + | *Complete Hands-on Exercise 5. The handout and data sets are available at course eLearn. | ||
| + | |||
| + | |||
| + | =References= | ||
| + | |||
| + | ==Methods== | ||
| + | |||
| + | Getis, A. and Ord, J.K. (1992) “The analysis of spatial association by use of distance statistics”. ''Geographical Analysis'', 24(3): 189-206. | ||
| + | |||
| + | Ord, J.K. and Getis, A. (1995) “Local spatial autocorrelation statistics: Distributional issues and an application”. ''Geographical Analysis'', 27(4): 286-306. | ||
| + | |||
| + | Chapter 9: Modelling Areal Data in Bivand, R.S., Pebesma, E., and Gómez-Rubio, V. (2013) '''Applied Spatial Data Analysis with R''', Springer. | ||
| + | |||
| + | Bivand, R.S. 2010 “B.2 Exploratory Spatial data Analysis” in Fischer, M.M., and Getis, A. (2010) '''Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications''', Springer. | ||
| + | |||
| + | ==Applications== | ||
| + | |||
| + | Mack, Z.W.V. and Kam T.S. (2018) “Is There Space for Violence?: A Data-driven Approach to the Exploration of Spatial-Temporal Dimensions of Conflict” '''Proceedings of 2nd ACM SIGSPATIAL Workshop on Geospatial Humanities''' (ACM SIGSPATIAL’18). Seattle, Washington, USA, 10 pages. | ||
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| + | Singh A., Pathak P.K., Chauhan R.K., and Pan, W. (2011) “Infant and Child Mortality in India in the Last Two Decades: A Geospatial Analysis”. ''PLoS ONE'' 6(11), 1:19. | ||
| + | |||
| + | |||
| + | =Lesson competencies= | ||
Latest revision as of 09:10, 4 February 2019
IS415 GeoSpatial Analytics and Applications
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Content
- Introducing Spatial Clustering
- Cluster and Outlier Analysis
- Basic concepts of Local Indicators of Spatial Association (LISA)
- Local Moran and Local Geary
- Moran scatterplot
- LISA Cluster Map
- Hot Spot and Cold Spot Areas Analysis
- Getis and Ord’s G-statistics
- Exploratory Spatial Data Analysis (ESDA)
Must do
- View
- Lecture on “Local Spatial Autocorrelation” by Luc Anselin (link to 1hr and 20mins video).
- Read
- Anselin, L. (1995). "Local indicators of spatial association – LISA". Geographical Analysis, 27(4): 93-115.
- Brunsdon, C. & Comber, L. (2015) An Introduction to R for Spatial Analysis & Mapping, SAGE Publication Ltd., London. Chapter 8: 8.1-8.6.
- Bivand, R.S., Pebesma, E. & Gómez-Rubio, V. (2013) Applied Spatial Data Analysis with R, 2nd Edition. Springer, New York. Chapter 9: Modeling Areal Data, Section 9.3.2 Local Tests. This is an e-book.
- Complete Hands-on Exercise 5. The handout and data sets are available at course eLearn.
References
Methods
Getis, A. and Ord, J.K. (1992) “The analysis of spatial association by use of distance statistics”. Geographical Analysis, 24(3): 189-206.
Ord, J.K. and Getis, A. (1995) “Local spatial autocorrelation statistics: Distributional issues and an application”. Geographical Analysis, 27(4): 286-306.
Chapter 9: Modelling Areal Data in Bivand, R.S., Pebesma, E., and Gómez-Rubio, V. (2013) Applied Spatial Data Analysis with R, Springer.
Bivand, R.S. 2010 “B.2 Exploratory Spatial data Analysis” in Fischer, M.M., and Getis, A. (2010) Handbook of Applied Spatial Analysis: Software Tools, Methods and Applications, Springer.
Applications
Mack, Z.W.V. and Kam T.S. (2018) “Is There Space for Violence?: A Data-driven Approach to the Exploration of Spatial-Temporal Dimensions of Conflict” Proceedings of 2nd ACM SIGSPATIAL Workshop on Geospatial Humanities (ACM SIGSPATIAL’18). Seattle, Washington, USA, 10 pages.
Singh A., Pathak P.K., Chauhan R.K., and Pan, W. (2011) “Infant and Child Mortality in India in the Last Two Decades: A Geospatial Analysis”. PLoS ONE 6(11), 1:19.
