Package: DBEST 1.8
DBEST: Detecting Breakpoints and Estimating Segments in Trend
A program for analyzing vegetation time series, with two algorithms: 1) change detection algorithm that detects trend changes, determines their type (abrupt or non-abrupt), and estimates their timing, magnitude, number, and direction; 2) generalization algorithm that simplifies the temporal trend into main features. The user can set the number of major breakpoints or magnitude of greatest changes of interest for detection, and can control the generalization process by setting an additional parameter of generalization-percentage.
Authors:
DBEST_1.8.tar.gz
DBEST_1.8.zip(r-4.5)DBEST_1.8.zip(r-4.4)DBEST_1.8.zip(r-4.3)
DBEST_1.8.tgz(r-4.4-any)DBEST_1.8.tgz(r-4.3-any)
DBEST_1.8.tar.gz(r-4.5-noble)DBEST_1.8.tar.gz(r-4.4-noble)
DBEST_1.8.tgz(r-4.4-emscripten)DBEST_1.8.tgz(r-4.3-emscripten)
DBEST.pdf |DBEST.html✨
DBEST/json (API)
# Install 'DBEST' in R: |
install.packages('DBEST', repos = c('https://hristotomov.r-universe.dev', 'https://cloud.r-project.org')) |
- NDVI.Site1 - Site 1
- NDVI.Site2 - Site 2
- TREND.Site1 - Site 1
- TREND.Site2 - Site 2
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:fcf5aa4ee5. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Nov 12 2024 |
R-4.3-mac | OK | Nov 12 2024 |
Exports:DBEST
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Detecting Breakpoints and Estimating Segments in Trend (DBEST) | DBEST |
Site 1 | NDVI.Site1 |
Site 2 | NDVI.Site2 |
Methods for objects of class "DBEST". | plot.DBEST |
Site 1 | TREND.Site1 |
Site 2 | TREND.Site2 |