| Type: | Package |
| Title: | Philippine Tropical Cyclones Data |
| Version: | 0.1.1 |
| Description: | The Philippines frequently experiences tropical cyclones (called 'bagyo' in the Filipino language) because of its geographical position. These cyclones typically bring heavy rainfall, leading to widespread flooding, as well as strong winds that cause significant damage to human life, crops, and property. Data on cyclones are collected and curated by the Philippine Atmospheric, Geophysical, and Astronomical Services Administration or 'PAGASA' and made available through its website https://bagong.pagasa.dost.gov.ph/tropical-cyclone/publications/annual-report. This package contains Philippine tropical cyclones data in a machine-readable format. It is hoped that this data package provides an interesting and unique dataset for data exploration and visualisation. |
| License: | CC0 |
| Depends: | R (≥ 2.10) |
| Suggests: | dplyr, ggplot2, knitr, lubridate, pdftools, rmarkdown, spelling, testthat (≥ 3.0.0), tibble, tidyr |
| Encoding: | UTF-8 |
| Language: | en-GB |
| LazyData: | true |
| RoxygenNote: | 7.3.1 |
| URL: | https://panukatan.io/bagyo/, https://github.com/panukatan/bagyo |
| BugReports: | https://github.com/panukatan/bagyo/issues |
| Config/testthat/edition: | 3 |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2024-04-17 08:50:25 UTC; ernestguevarra |
| Author: | Ernest Guevarra 
[aut, cre, cph] |
| Maintainer: | Ernest Guevarra <ernest@guevarra.io> |
| Repository: | CRAN |
| Date/Publication: | 2024-04-18 14:02:48 UTC |
Philippine Tropical Cyclones Data
Description
The Philippines frequently experiences tropical cyclones (called 'bagyo' in
the Filipino language) because of its geographical position. These cyclones
typically bring heavy rainfall, leading to widespread flooding, as well as
strong winds that cause significant damage to human life, crops, and
property. Data on cyclones are collected and curated by the Philippine
Atmospheric, Geophysical, and Astronomical Services Administration (PAGASA)
and made available through its website. This package contains Philippine
tropical cyclones data in a machine-readable format. It is hoped that this
data package provides an interesting and unique dataset for data exploration
and visualisation as an adjunct to the traditional iris dataset and to the
current palmerpenguins dataset.
Usage
bagyo
Format
A data frame with 9 columns and 86 rows:
| Variable | Description |
| year | Year |
| category_code | Tropical cyclone category code |
| category_name | Tropical cyclone category name |
| name | Name given to the tropical cyclone by Philippine authorities |
| rsmc_name | Name given to the tropical cyclone by RSMC |
| start | Date and time at which cyclone enters Philippine waters |
| end | Date and time at which cyclone leaves Philippine waters |
| pressure | Maximum central pressure in hPa |
| speed | Maximum sustained wind speed in km/h |
Author(s)
Maintainer: Ernest Guevarra ernest@guevarra.io (ORCID) [copyright holder]
Source
Data are drawn from PAGASA's Annual Report on Philippine Tropical Cyclones found at https://www.pagasa.dost.gov.ph/tropical-cyclone/publications/annual-report
See Also
Useful links:
Report bugs at https://github.com/panukatan/bagyo/issues
Examples
bagyo
Find cyclones information
Description
Find cyclones information
Usage
find_bagyo(.year = NULL, .category = NULL)
Arguments
.year |
An integer value for a year or a vector of years of cyclones data to retrieve. Default to NULL to retrieve all years. |
.category |
A character value or a vector of category code/s or category name/s to retrieve. Default to NULL to retrieve all categories |
Value
A data.frame of cyclones information based on specified year and
category
Examples
find_bagyo()
find_bagyo(.year = 2017)
find_bagyo(.category = "TD")
find_bagyo(.year = 2017, .category = "TD")
Get a cyclone name
Description
Randomly returns a cyclone name and prints additional information available from the package regarding the cyclone.
Usage
get_bagyo()
Value
A list of information regarding a randomly selected cyclone from
the bagyo dataset.
Examples
get_bagyo()
print() helper function for get_bagyo() function
Description
print() helper function for get_bagyo() function
Usage
## S3 method for class 'bagyo'
print(x, ...)
Arguments
x |
Object of class |
... |
Additional |
Value
Printed output of get_bagyo() function
Examples
get_bagyo()