ropensci/hddtools

Name: hddtools

Owner: rOpenSci

Description: Hydrological Data Discovery Tools (R package for hydrology and open data)

Created: 2014-07-30 10:39:49.0

Updated: 2017-12-15 14:03:39.0

Pushed: 2017-10-21 08:07:15.0

Homepage: http://ropensci.github.io/hddtools/

Size: 19037

Language: R

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README

hddtools: Hydrological Data Discovery Tools

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hddtools stands for Hydrological Data Discovery Tools. This R package is an open source project designed to facilitate access to a variety of online open data sources relevant for hydrologists and, in general, environmental scientists and practitioners.

This typically implies the download of a metadata catalogue, selection of information needed, a formal request for dataset(s), de-compression, conversion, manual filtering and parsing. All those operations are made more efficient by re-usable functions.

Depending on the data license, functions can provide offline and/or online modes. When redistribution is allowed, for instance, a copy of the dataset is cached within the package and updated twice a year. This is the fastest option and also allows offline use of package's functions. When re-distribution is not allowed, only online mode is provided.

Dependencies & Installation

The hddtools package depends on other CRAN packages. Check for missing dependencies and install them using the commands below:

s <- c("zoo", "sp", "RCurl", "XML", "rnrfa", "Hmisc", "raster", 
       "stringr", "devtools", "leaflet")
packages <- packs[!(packs %in% installed.packages()[,"Package"])]
ength(new_packages)) install.packages(new_packages)

Get the released version from CRAN:

all.packages("hddtools")

Or the development version from github using devtools:

ools::install_github("ropensci/hddtools")

Load the hddtools package:

ary("hddtools")
Data sources and Functions

The package contains functions to interact with the data providers listed below. For examples of the various functionalities see the vignette.

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This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.