Climate Modeling with Point Data from Climate Stations
Autocorrelation
Calculate spectral indices
Modelling
Load in Example Data
Create Maps using the terra package graphic parameters
Predict sensor data area wide
Cropping tiff data
Create climodr environment
Final aggregation for CSV-Data
Preparing CSV-Data
Processing CSV-Data
Spatial aggregation for CSV-Data
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.