R Package for geographical data analysis and prediction.
The package aims to offer a set of tools for analysing marine bioregions and applying machine learning techniques (supervised and unsupervised).
On MilanoR you can find an article describing the main process in which the package was used.
Example plot of interpolated net heat flux over a user-specified spatial grid:
The package provides the following functions:
Requires the following packages:
The scripts folder contains some examples of use. In the following lines you can find a quick shortcut list to each .rmd example of use file.
Heat map of net heat flux:
Example of partial dependence plot of y vs other variables
Example of bioregion variables prediction on a predictive map for each year:
and average predicted map
Example of spatial data resizing on the qnet variable (net heat flux), here is a heat map of the outcome:
and as a comparison, the original available data:
Global ocean heat flux and evaporation products were provided by the WHOI OAFlux project (http://oaflux.whoi.edu) funded by the NOAA Climate Observations and Monitoring (COM) program
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