res_area

This raster contains the area of interest as well as the desired model
resolution (100 m * 100 m) and the project extent.

datasets

An automated and streamlined workflow for predictive climate
mapping using climate station data. Works within an environment
the user provides a destined path to - otherwise it's tempdir().
Quick and relatively easy creation of resilient and reproducible
climate models, predictions and climate maps, shortening the
usually long and complicated work of predictive modelling.
For more information, please find the provided URL.
Many methods in this package are new, but the main method is based
on a workflow from
Meyer (2019) <doi:10.1016/j.ecolmodel.2019.108815>
and
Meyer (2022) <doi:10.1038/s41467-022-29838-9> , however, it was generalized and adjusted in the context of this package.

Alexander Klug

climodr

Climate Modeling with Point Data from Climate Stations

Luise Wraase

Seda Bekar

Dirk Zeuss

res_area function

## `res_area`
A binary Raster of pixels with value 1 in extent that belong to example area<dl>
 <dt>class</dt>
<dd>SpatRaster</dd> <dt>dimensions</dt>
<dd>57, 71, 1 (nrow, ncol, nlyr)</dd> <dt>resolution</dt>
<dd>100, 100 (x, y)</dd> <dt>extent</dt>
<dd>805732, 812832, 5890310, 5896010 (xmin, xmax, ymin, ymax)</dd> <dt>coord. ref.</dt>
<dd>WGS 84 / UTM zone 32N (EPSG:32632)</dd> <dt>name</dt>
<dd>res_area</dd> <dt>min/max</dt>
<dd>0/1</dd>
</dl>

Format

Resolution and Area — res_area

## `res_area`
A binary Raster of pixels with value 1 in extent that belong to example area<dl>
 <dt>class</dt>
<dd>SpatRaster</dd>

 <dt>dimensions</dt>
<dd>57, 71, 1 (nrow, ncol, nlyr)</dd>

 <dt>resolution</dt>
<dd>100, 100 (x, y)</dd>

 <dt>extent</dt>
<dd>805732, 812832, 5890310, 5896010 (xmin, xmax, ymin, ymax)</dd>

 <dt>coord. ref.</dt>
<dd>WGS 84 / UTM zone 32N (EPSG:32632)</dd>

 <dt>name</dt>
<dd>res_area</dd>

 <dt>min/max</dt>
<dd>0/1</dd>


</dl>

res_area: Resolution and Area

Description

Usage

Arguments

Format