sch_201707

A spatial Raster file from a random area choose for the Vignette or as dummy data.

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

sch_201707 function

## `sch_201707`
A Spat Raster with 8 spectral bands<dl>
 <dt>class</dt>
<dd>SpatRaster</dd> <dt>dimensions</dt>
<dd>86, 151, 10 (nrow, ncol, nlyr)</dd> <dt>resolution</dt>
<dd>100, 100 (x, y)</dd> <dt>extent</dt>
<dd>801522.5, 816622.5, 5888973, 5897573 (xmin, xmax, ymin, ymax)</dd> <dt>coord. ref.</dt>
<dd>WGS 84 / UTM zone 32N (EPSG:32632)</dd> <dt>names</dt>
<dd>blue, green, red, nir, nirb, re1, re2, re3, swir1, swir2</dd> <dt>min/max</dt>
<dd>33.90298/5479.6602</dd>
</dl>

Format

Spatial Raster File for Vignette — sch_201707

## `sch_201707`
A Spat Raster with 8 spectral bands<dl>
 <dt>class</dt>
<dd>SpatRaster</dd>

 <dt>dimensions</dt>
<dd>86, 151, 10 (nrow, ncol, nlyr)</dd>

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

 <dt>extent</dt>
<dd>801522.5, 816622.5, 5888973, 5897573 (xmin, xmax, ymin, ymax)</dd>

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

 <dt>names</dt>
<dd>blue, green, red, nir, nirb, re1, re2, re3, swir1, swir2</dd>

 <dt>min/max</dt>
<dd>33.90298/5479.6602</dd>


</dl>

sch_201707: Spatial Raster File for Vignette

Description

Usage

Arguments

Format