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PowerSDI  

Calculate Standardised Drought Indices Using NASA POWER Data
View on CRAN: Click here


Download and install PowerSDI package within the R console
Install from CRAN:
install.packages("PowerSDI")

Install from Github:
library("remotes")
install_github("cran/PowerSDI")

Install by package version:
library("remotes")
install_version("PowerSDI", "1.0.0")



Attach the package and use:
library("PowerSDI")
Maintained by
Gabriel Constantino Blain
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-19
Latest Update: 2024-01-15
Description:
A set of functions designed to calculate the standardised precipitation and standardised precipitation evapotranspiration indices using NASA POWER data as described in Blain et al. (2023) . These indices are calculated using a reference data source. The functions verify if the indices' estimates meet the assumption of normality and how well NASA POWER estimates represent real-world data. Indices are calculated in a routine mode. Potential evapotranspiration amounts and the difference between rainfall and potential evapotranspiration are also calculated. The functions adopt a basic time scale that splits each month into four periods. Days 1 to 7, days 8 to 14, days 15 to 21, and days 22 to 28, 29, 30, or 31, where 'TS=4' corresponds to a 1-month length moving window (calculated 4 times per month) and 'TS=48' corresponds to a 12-month length moving window (calculated 4 times per month).
How to cite:
Gabriel Constantino Blain (2023). PowerSDI: Calculate Standardised Drought Indices Using NASA POWER Data. R package version 1.0.0, https://cran.r-project.org/web/packages/PowerSDI. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.3 (2023-11-19 16:30)
Other packages that cited PowerSDI R package
View PowerSDI citation profile
Other R packages that PowerSDI depends, imports, suggests or enhances
Complete documentation for PowerSDI
Functions, R codes and Examples using the PowerSDI R package
Full PowerSDI package functions and examples
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