Entropy-Based Local Indicator of Spatial Association
Global Spatial Autocorrelation Statistics
Categorizing continious data
Correlogram of Spatial Data
Convert differences in the level of categorical map to a list
Construct neighbours list
Entropy-based Local indicator of Spatial Association
Elsa test for local spatial autocorrelation
An S4 class for Entrogram
Entrogram for Spatial Data
Local indicators of Spatial Associations
Best number of classes for categorizing a continuous variable
An S4 class of neighbour features
Empirical Variogram from Spatial Data
A framework that provides the methods for quantifying entropy-based local indicator of spatial association (ELSA) that can be used for both continuous and categorical data. In addition, this package offers other methods to measure local indicators of spatial associations (LISA). Furthermore, global spatial structure can be measured using a variogram-like diagram, called entrogram. For more information, please check that paper: Naimi, B., Hamm, N. A., Groen, T. A., Skidmore, A. K., Toxopeus, A. G., & Alibakhshi, S. (2019) <doi:10.1016/j.spasta.2018.10.001>.