Lesson05
IS415 GeoSpatial Analytics and Applications
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Content
- Exploratory Spatial Data Analysis (ESDA)
- Exploratory Data Analysis (EDA)
- Interactive techniques: Linking and brushing
- Principles of Geographically Weighted Summary Statistics
- Local Indicators of Spatial Association (LISA)
- Local Moran and Local Geary
- Measures of local spatial association
- Getis and Ord’s G-statistics
- Local Moran cluster maps
- Multivariate extensions
References
Methods
Anselin, L. (1995). "Local indicators of spatial association – LISA". Geographical Analysis, 27(4): 93-115.
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. (2010) “Local spatial autocorrelation statistics: Distributional issues and an application”. Geographical Analysis, 27(4): 286-306.
Bivand, R.S., Pebesma, E., and Gómez-Rubio, V. (2013) Applied Spatial Data Analysis with R, Springer. Chapter 9: Modelling Areal Data.
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.
