SSTP: Spatially Shifting Temporal Points
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.


Spatially Shifting Temporal Points (SSTP) is an alternative pooled within-time series (e.g. years) variogram estimation tool. This is particularly useful for spatially data-scarce regions, where abundant time series are available. For example, climate databases in developing countries are generally spatially scarce, i.e. only a few (< 50) meteorological stations data, but abundant in time, i.e. long (> 50 years) time series are available. A temporally constant spatial variogram can be estimated using SSTP that outperforms the erratic spatial variogram estimation for individual years and the available pooled within-time series variogram estimation technique.

A discussion paper on SSTP is available via:

Instructions for usage

You should have the latest version of R and the required packages installed as demonstrated in the "SSTP_script.R". Download the "SSTP_data.Rdata" and "SSTP_script.R" and follow the instructions in the script.