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brclimr  

Fetch Zonal Statistics of Weather Indicators for Brazilian Municipalities
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("brclimr", "0.2.0")



Attach the package and use:
library("brclimr")
Maintained by
Raphael Saldanha
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-07
Latest Update: 2023-03-14
Description:
Fetches zonal statistics from weather indicators that were calculated for each municipality in Brazil using data from the BR-DWGD and TerraClimate projects. Zonal statistics such as mean, maximum, minimum, standard deviation, and sum were computed by taking into account the data cells that intersect the boundaries of each municipality and stored in Parquet files. This procedure was carried out for all Brazilian municipalities, and for all available dates, for every indicator available in the weather products (BR-DWGD and TerraClimate projects). This package queries on-line the already calculated statistics on the Parquet files and returns easy-to-use data.frames.
How to cite:
Raphael Saldanha (2023). brclimr: Fetch Zonal Statistics of Weather Indicators for Brazilian Municipalities. R package version 0.2.0, https://cran.r-project.org/web/packages/brclimr. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2023-03-07 08:00), 0.1.1 (2023-03-12 13:10), 0.1.2 (2023-03-14 17:10)
Other packages that cited brclimr R package
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Other R packages that brclimr depends, imports, suggests or enhances
Complete documentation for brclimr
Functions, R codes and Examples using the brclimr R package
Some associated functions: brdwgd_data . fetch_data . pipe . product_info . terraclimate_data . 
Some associated R codes: brdwgd_data.R . fetch_data.R . product_info.R . terraclimate_data.R . utils-pipe.R .  Full brclimr package functions and examples
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