Package: elsa 1.2-12
elsa: Entropy-Based Local Indicator of Spatial Association
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>.
Authors:
elsa_1.2-12.tar.gz
elsa_1.2-12.zip(r-4.5)elsa_1.2-12.zip(r-4.4)elsa_1.2-12.zip(r-4.3)
elsa_1.2-12.tgz(r-4.4-x86_64)elsa_1.2-12.tgz(r-4.4-arm64)elsa_1.2-12.tgz(r-4.3-x86_64)elsa_1.2-12.tgz(r-4.3-arm64)
elsa_1.2-12.tar.gz(r-4.5-noble)elsa_1.2-12.tar.gz(r-4.4-noble)
elsa_1.2-12.tgz(r-4.4-emscripten)elsa_1.2-12.tgz(r-4.3-emscripten)
elsa.pdf |elsa.html✨
elsa/json (API)
| # Install 'elsa' in R: |
| install.packages('elsa', repos = c('https://babaknaimi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/babaknaimi/elsa/issues
Last updated 10 months agofrom:311a290e06. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win-x86_64 | OK | Nov 10 2024 |
| R-4.5-linux-x86_64 | OK | Nov 10 2024 |
| R-4.4-win-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-x86_64 | OK | Nov 10 2024 |
| R-4.4-mac-aarch64 | OK | Nov 10 2024 |
| R-4.3-win-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-x86_64 | OK | Nov 10 2024 |
| R-4.3-mac-aarch64 | OK | Nov 10 2024 |
Exports:categorizecorrelogramdif2listdneighelsaelsa.testentrogramgearylisamelsamorannclassneighdVariogram
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Categorizing continious data | categorize categorize,list-method categorize,numeric-method categorize,RasterLayer-method categorize,RasterStackBrick-method categorize,SpatRaster-method |
| Correlogram of Spatial Data | correlogram correlogram,RasterLayer-method correlogram,Spatial-method |
| Convert differences in the level of categorical map to a list | dif2list dif2list,data.frameORmatrix,ANY-method dif2list,data.frameORmatrix-method |
| Construct neighbours list | dneigh dneigh,data.frameORmatrix-method dneigh,SpatialPoints-method dneigh,SpatialPolygons-method dneigh,SpatVector-method neighd neighd,data.frameORmatrix-method neighd,SpatialPoints-method neighd,SpatialPolygons-method neighd,SpatVector-method |
| Entropy-based Local indicator of Spatial Association | elsa elsa,RasterLayer-method elsa,SpatialPointsDataFrame-method elsa,SpatialPolygonsDataFrame-method elsa,SpatRaster-method elsa,SpatVector-method |
| Elsa test for local spatial autocorrelation | elsa.test elsa.test,RasterLayer-method elsa.test,Spatial-method elsa.test,SpatRaster-method |
| Entrogram for Spatial Data | entrogram entrogram,RasterLayer-method entrogram,SpatialPointsDataFrame-method entrogram,SpatialPolygonsDataFrame-method |
| An S4 class for Entrogram | Correlogram-class data.frameORmatrix-class Entrogram-class matrixORnull-class Variogram-class |
| Local indicators of Spatial Associations | lisa lisa,RasterLayer-method lisa,Spatial-method |
| Entropy-based Local indicator of Spatial Association for Multivariate data | melsa melsa,SpatRaster-method |
| Global Spatial Autocorrelation Statistics | geary geary,RasterLayer-method geary,Spatial-method geary,SpatRaster-method geary,SpatVector-method moran moran,RasterLayer-method moran,Spatial-method moran,SpatRaster-method moran,SpatVector-method |
| Best number of classes for categorizing a continuous variable | nclass nclass,numeric-method nclass,RasterLayer-method nclass,SpatRaster-method |
| An S4 class of neighbour features | neighbours-class |
| Empirical Variogram from Spatial Data | Variogram Variogram,RasterLayer-method Variogram,Spatial-method |
