Transparent assessment of spatial and/or temporal prediction methods

This repository aims at making spatial, temporal, and spatio-temporal prediction methods more transparent and comparable. To this end it contains

• datasets that can be used to assess the performance of prediction methods.
• prediction methods in the form of executable scripts. The scripts illustrate how to apply the prediction methods to the datasets.
• ❗not yet implemented❗ comparison of the performance of all prediction methods for each dataset.

datasets

• MOD13A1_NDVI_Alaska: MODIS NDVI data
• more to come...

methods

• gapfill: an R package to predict missing values in spatio-temporal remote sensing data
• more to come...

contribute

You are welcome to

• contribute a dataset
• contribute a prediction method
• give comments and suggestions

To contribute please send me an email and/or issue a pull request.

gerber at mines . edu

http://user.math.uzh.ch/gerber/