process_variable_codes

Check user defined variables for gridMET and TerraClimate functions.

internal

auxiliary

Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.

Kyle Messier

amadeus

Accessing and Analyzing Large-Scale Environmental Data

Mitchell Manware

Insang Song

Eva Marques

Mariana Alifa Kassien

Elizabeth Scholl

Spatiotemporal Exposures and Toxicology Group 

process_variable_codes function

<dl><dt>variables</dt>
<dd>character(1). Data variables. (Passed from download_* or
process_*).</dd>
<dt>source</dt>
<dd>character(1). Data source for selected variables ("gridMET" or
"TerraClimate").</dd></dl>

Arguments

Filter gridMET and terraClimate variable names and variable codes — process_variable_codes

<dl>

<dt>variables</dt>
<dd>character(1). Data variables. (Passed from download_* or
process_*).</dd>


<dt>source</dt>
<dd>character(1). Data source for selected variables ("gridMET" or
"TerraClimate").</dd>

</dl>

Filter gridMET and terraClimate variable names and variable codes

process_variable_codes: Filter gridMET and terraClimate variable names and variable codes

Description

Usage

Value

Arguments