Overview | Time series for points | Time series for polygons | Temperature | Climate indices with climatrends | Raw raster products | Servers | Datasets citation | CHIRPS v3 | CHIRTS-ERA5 | CHIRPS v2 | CHIRTS | Additional resources
Package: chirps 2.0.0
Kauê de Sousa
chirps: Access Climate Hazards Center Datasets
Provides access to Climate Hazards Center (CHC) datasets including CHIRPS v3, CHIRPS v2, CHIRTS-daily and CHIRTS-ERA5, read directly from the CHC server. 'CHIRPS' is a quasi-global (60°S to 60°N for v3) high-resolution (0.05 arc-degrees) rainfall data set, which incorporates satellite imagery and in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. 'CHIRTS' is a quasi-global (60°S to 70°N), high-resolution data set of daily maximum and minimum temperatures. Data are returned as rasters or as time series for points and polygons, ready for climate indices with the 'climatrends' package. For more details on CHC datasets please visit their official home page <https://www.chc.ucsb.edu/data>.
Authors:
chirps_2.0.0.tar.gz
chirps_2.0.0.zip(r-4.7-any)chirps_2.0.0.zip(r-4.6-any)chirps_2.0.0.zip(r-4.5-any)
chirps_2.0.0.tgz(r-4.6-any)chirps_2.0.0.tgz(r-4.5-any)
chirps_2.0.0.tar.gz(r-4.7-any)chirps_2.0.0.tar.gz(r-4.6-any)
chirps_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
chirps/json (API)
| # Install 'chirps' in R: |
| install.packages('chirps', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org')) |
Reviews:rOpenSci Software Review #357
Bug tracker:https://github.com/ropensci/chirps/issues
Pkgdown/docs site:https://docs.ropensci.org
Datasets:
- tapajos - Tapajós National Forest
chirpsclimatologyprecipitation-data
Last updated from:3772b714c4. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 210 | ||
| pkgdown docs | OK | 178 | ||
| source / vignettes | OK | 225 | ||
| linux-release | OK | 194 | ||
| macos-release | OK | 176 | ||
| macos-oldrel | OK | 143 | ||
| windows-devel | OK | 169 | ||
| windows-release | OK | 165 | ||
| windows-oldrel | OK | 159 | ||
| wasm-release | OK | 134 |
Exports:as.geojsonget_chirpsget_chirps_rawget_chirtsget_chirts_rawget_esiget_imergprecip_indices
Dependencies:askpassclassclassIntcurlDBIe1071httrjsonliteKernSmoothmimeopensslproxyR6Rcpps2sfsysterraunitswk
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Methods to coerce geographical coordinates into a geojson polygon | as.geojson as.geojson.default as.geojson.sf |
| API Client for CHIRPS and CHIRTS | chirps-package chirps |
| Get CHIRPS precipitation data | get_chirps get_chirps.default get_chirps.geojson get_chirps.sf get_chirps.sfc get_chirps.SpatExtent get_chirps.SpatRaster get_chirps.SpatVector |
| Get raw CHIRPS raster data | get_chirps_raw |
| Get CHIRTS temperature data | get_chirts get_chirts.default get_chirts.SpatExtent get_chirts.SpatRaster get_chirts.SpatVector |
| Get raw CHIRTS raster data | get_chirts_raw |
| Get evaporative stress index (ESI) data | get_esi get_esi.default get_esi.geojson get_esi.sf |
| Get Integrated Multisatellite Retrievals for GPM (IMERG) data | get_imerg get_imerg.default get_imerg.geojson get_imerg.sf |
| Compute simple precipitation indices over a time series | precip_indices |
| Tapajós National Forest | tapajos |