SANG-IL LEE - R Development

R Shiny Web Applications

Spatial Kernel Density Estimation

This application is designed to let users to create their own spatial kernel density estimation maps, sometimes called heat maps, on the internet.
It utilizes an R package, SpatialKDE, which is based on QGIS Heatmap tool.
Link: https://sangillee.shinyapps.io/SpatialKernelDensityEstimation/

R Packages

`salsa`

salsa stands for S and L for spatial autocorrelation. This is basically an R implementation of S and L statistics developed by me (Lee 2001, 2004, 2009).
It also includes other functions associated with spatial autocorrelation.
It will be uploaded in a month.

References

Lee, Sang-Il. 2001. “Developing a Bivariate Spatial Association Measure: An Integration of Pearson’s r and Moran’s I.” Journal of Geographical Systems 3 (4): 369–85. https://doi.org/10.1007/s101090100064.

———. 2004. “A Generalized Significance Testing Method for Global Measures of Spatial Association: An Extension of the Mantel Test.” Environment and Planning A: Economy and Space 36 (9): 1687–1703. https://doi.org/10.1068/a34143.

———. 2009. “A Generalized Randomization Approach to Local Measures of Spatial Association.” Geographical Analysis 41 (2): 221–48. https://doi.org/10.1111/j.1538-4632.2009.00749.x.