chelsa

get_chelsa

The CHELSA data (Karger et al. 2017) consists of downscaled model output
temperature and precipitation estimates at a horizontal resolution of 30 arc
sec. The precipitation algorithm incorporates orographic predictors including
wind fields, valley exposition, and boundary layer height, with a subsequent
bias correction. The spatial resolution is about 1-arc second (~1km at the
equator). This resource makes V2 available.

resource

Biodiversity areas, especially primary forest, serve a
multitude of functions for local economy, regional functionality of
the ecosystems as well as the global health of our planet. Recently,
adverse changes in human land use practices and climatic responses to
increased greenhouse gas emissions, put these biodiversity areas under
a variety of different threats. The present package helps to analyse a
number of biodiversity indicators based on freely available
geographical datasets. It supports computational efficient routines
that allow the analysis of potentially global biodiversity portfolios.
The primary use case of the package is to support evidence based
reporting of an organization's effort to protect biodiversity areas
under threat and to identify regions were intervention is most duly
needed.

Darius A. Görgen

mapme.biodiversity

Efficient Monitoring of Global Biodiversity Portfolios

Om Prakash Bhandari

Andreas Petutschnig

chelsa function

<dl><dt>years</dt>
<dd>A numeric vector of the years to make CHELSA monthly precipitation
layers available for. Must be greater 1979, defaults to <code>c(1979:2018)</code>.</dd></dl>

Arguments

Climatologies at High resolution for the Earth Land Surface Areas (CHELSA) — chelsa

<dl>

<dt>years</dt>
<dd>A numeric vector of the years to make CHELSA monthly precipitation
layers available for. Must be greater 1979, defaults to <code>c(1979:2018)</code>.</dd>

</dl>

chelsa: Climatologies at High resolution for the Earth Land Surface Areas (CHELSA)

Description

Usage

Value

Arguments

References