wildviz: Compiles and Visualizes Wildfire, Climate, and Air Quality Data
Fetches data from three disparate data sources and allows user to perform analyses on them. It offers two core components: 1. A robust data retrieval and preparation infrastructure for wildfire, climate, and air quality index data and 2. A simple, informative, and interactive visualizations of the aforementioned datasets for California counties from 2011 through 2015. The sources of data are: wildfire data from Kaggle <https://www.kaggle.com/rtatman/188-million-us-wildfires>, climate data from the National Oceanic and Atmospheric Administration <https://www.ncdc.noaa.gov/cdo-web/token>, and air quality data from the Environmental Protection Agency <https://aqs.epa.gov/aqsweb/documents/data_api.html>.
| Version: |
0.1.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
DBI, dplyr, httr, jsonlite, lubridate, purrr, rnoaa, RSQLite, shiny, tibble, tidyr, shinythemes, ggplot2, plotly, ggthemes |
| Suggests: |
knitr, rmarkdown, markdown, testthat |
| Published: |
2021-08-23 |
| Author: |
Bradley Rafferty [aut, cre],
Daniel Chung [aut] |
| Maintainer: |
Bradley Rafferty <brjrafferty at gmail.com> |
| BugReports: |
https://github.com/bradraff/wildviz/issues |
| License: |
GPL-2 |
| URL: |
https://github.com/bradraff/wildviz |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
wildviz results |
Documentation:
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