Package: rcamelspe 0.1.0

Paul E. Santos Andrade

rcamelspe: Catchment Attributes and Meteorology for Peru (CAMELS-PE)

Download, load, manage, and filter the Catchment Attributes and Meteorology for Large-Sample Studies - Peru (CAMELS-PE) dataset for hydroclimatic and hydrological analysis. Offers high-performance reading and manipulation of large datasets using the 'arrow' and 'collapse' packages. Provides tools to extract catchment-scale meteorological time series, physical attributes, and spatial boundaries for 136 catchments, with 10 daily variables on the 1981-2025 calendar and 79 attributes. CAMELS-PE data are distributed separately under CC BY 4.0 <doi:10.5281/zenodo.21195425>.

Authors:Paul E. Santos Andrade [aut, cre, cph]

rcamelspe_0.1.0.tar.gz
rcamelspe_0.1.0.zip(r-4.7-any)rcamelspe_0.1.0.zip(r-4.6-any)
rcamelspe_0.1.0.tar.gz(r-4.7-any)rcamelspe_0.1.0.tar.gz(r-4.6-any)
rcamelspe_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rcamelspe/json (API)

# Install 'rcamelspe' in R:
install.packages('rcamelspe', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/paulesantos/rcamelspe/issues

Pkgdown/docs site:https://paulesantos.github.io

On CRAN:

Conda:

3.00 score 4 scripts 21 exports 42 dependencies

Last updated from:1b6daa7ca8. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK147
source / vignettesOK184
linux-releaseOK125
windows-develOK58
windows-releaseOK87
wasm-releaseOK124

Exports:download_camels_pedownload_pe_dataget_camels_pathget_camels_pe_pathload_pe_attributesload_pe_geospatialload_pe_metadataload_pe_timeseriesplot_attribute_mapplot_catchmentsplot_pe_attribute_mapplot_pe_catchmentsplot_pe_timeseriesplot_timeseriesread_attributesread_dictionaryread_geospatialread_metadataread_timeseriesset_camels_pathset_camels_pe_path

Dependencies:arrowassertthatbitbit64classclassIntclicollapsecpp11DBIdplyre1071farvergenericsggplot2gluegtableisobandKernSmoothlabelinglifecyclemagrittrpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessftibbletidyselectunitsutf8vctrsviridisLitewithrwk

Regionalización Hidroclimática de Cuencas en el Perú
1. Carga de Librerías y Configuración | 2. Preparación y Carga de Datos | 3. Preprocesamiento y Agrupamiento (Clustering K-means) | 4. Unión Geoespacial de Resultados | 5. Visualización de las Regiones Hidroclimáticas | 6. Interpretación de las Regiones Hidroclimáticas
Rendered fromregionalization.Rmdusingknitr::rmarkdown

Last update: 2026-11-07
Started: 2026-11-07

Rendimiento de rcamelspe: comparación reproducible con RCamelsPE
Resultados: dónde es más eficiente rcamelspe | Lectura práctica de los resultados | Corrección del cuello de botella de diez cuencas | Escenarios y decisiones de implementación | Cómo contribuyen nuestras mejoras | Comprobación de equivalencia | Qué sabemos sobre memoria | Método reproducible | Volver a ejecutar | Cómo aprovechar rcamelspe
Rendered frombenchmark.Rmdusingknitr::rmarkdown

Last update: 2026-11-07
Started: 2026-11-07

Readme and manuals

Help Manual

Help pageTopics
Download CAMELS-PE dataset from Zenododownload_camels_pe
Download the CAMELS-PE dataset from Zenododownload_pe_data
Get the path to the CAMELS-PE datasetget_camels_path get_camels_pe_path
Load CAMELS-PE catchment attributesload_pe_attributes
Load CAMELS-PE geospatial dataload_pe_geospatial
Load CAMELS-PE metadataload_pe_metadata
Load CAMELS-PE daily timeseries dataload_pe_timeseries
Plot CAMELS-PE Attribute Mapplot_attribute_map plot_pe_attribute_map
Plot CAMELS-PE Catchmentsplot_catchments plot_pe_catchments
Plot CAMELS-PE Time Seriesplot_pe_timeseries plot_timeseries
Read CAMELS-PE catchment attributesread_attributes
Read CAMELS-PE data dictionaryread_dictionary
Read CAMELS-PE geospatial dataread_geospatial
Read CAMELS-PE station metadataread_metadata
Read CAMELS-PE time seriesread_timeseries
Set the path to the CAMELS-PE datasetset_camels_path set_camels_pe_path