Entropy-Based Local Indicator of Spatial Association
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Documentation for package ‘elsa’ version 1.1-28
Help Pages
| categorize | Categorizing continious data |
| categorize-method | Categorizing continious data |
| correlogram | Correlogram of Spatial Data |
| Correlogram-class | An S4 class for Entrogram |
| correlogram-method | Correlogram of Spatial Data |
| data.frameORmatrix-class | An S4 class for Entrogram |
| dif2list | Convert differences in the level of categorical map to a list |
| dif2list-method | Convert differences in the level of categorical map to a list |
| dneigh | Construct neighbours list |
| dneigh-method | Construct neighbours list |
| elsa | Entropy-based Local indicator of Spatial Association |
| elsa-method | Entropy-based Local indicator of Spatial Association |
| elsa.test | Elsa test for local spatial autocorrelation |
| elsa.test-method | Elsa test for local spatial autocorrelation |
| entrogram | Entrogram for Spatial Data |
| Entrogram-class | An S4 class for Entrogram |
| entrogram-method | Entrogram for Spatial Data |
| geary | Global Spatial Autocorrelation Statistics |
| geary-method | Global Spatial Autocorrelation Statistics |
| lisa | Local indicators of Spatial Associations |
| lisa-method | Local indicators of Spatial Associations |
| matrixORnull-class | An S4 class for Entrogram |
| moran | Global Spatial Autocorrelation Statistics |
| moran-method | Global Spatial Autocorrelation Statistics |
| nclass | Best number of classes for categorizing a continuous variable |
| nclass-method | Best number of classes for categorizing a continuous variable |
| neighbours-class | An S4 class of neighbour features |
| neighd | Construct neighbours list |
| neighd-method | Construct neighbours list |
| Variogram | Empirical Variogram from Spatial Data |
| Variogram-class | An S4 class for Entrogram |
| Variogram-method | Empirical Variogram from Spatial Data |