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Package: amadeus | ||
Title: AMADEUS: A Machine for Data, Environments, and User Setup for common environmental and climate health datasets | ||
Title: A Machine for Data, Environments, and User Setup for Common Environmental and Climate Health Datasets | ||
Version: 0.3.0 | ||
Authors@R: c( | ||
person("Mitchell", "Manware", role = c("aut", "ctb"), comment = c(ORCID = "0009-0003-6440-6106")), | ||
person("Insang", "Song", role = c("aut", "ctb"), comment = c(ORCID = "0000-0001-8732-3256")), | ||
person("Eva", "Marques", role = c("aut", "ctb"), comment = c(ORCID = "0000-0001-9817-6546")), | ||
person("Mariana", "Alifa Kassien", role = c("aut", "ctb"), comment = c(ORCID = "0000-0003-2295-406X")), | ||
person("Kyle", "Messier", , "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9508-9623")) | ||
person("Kyle", "Messier", role = c("aut", "cre"), email = "[email protected]", comment = c(ORCID = "0000-0001-9508-9623")) | ||
) | ||
Description: A Mechanism/Machine for Data, Environments, and User Setup package for health and climate research. It is fully tested, versioned, and open source and open access. | ||
Maintainer: Kyle Messier <[email protected]> | ||
Description: amadeus is designed to faciliate access to and utiltiy with large scale, publicly available environmental data in R. The package contains funtions for downloading (download_data()) raw data files from web URLs, processing (process_covariates()) the raw data files into interpretable spatial objects, and extracting values (calc_covariates()) from the spatial data objects at point and polygon locations. These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatio-temporal resolution. amadeus functions are tested, versioned, and open source and open access. | ||
Depends: R (>= 4.1.0) | ||
Imports: dplyr, sf, sftime, stats, terra, methods, data.table, httr, rvest, exactextractr, utils, stringi, testthat (>= 3.0.0), parallelly, stars, future, future.apply, tidyr, rlang, rstac, nhdplusTools, archive, collapse, Rdpack | ||
Suggests: covr, withr, knitr, rmarkdown, lwgeom, FNN, doRNG | ||
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