GitHub / munterfi / global-temperature-change-detection
Global surface temperature layers are interpolated based on a point measurement data set of the worldwide surface temperature, which has been recorded since 1950. For the spatial interpolation, an universal Kriging approach is applied with additional layers for the continentality, the atmospheric distance, the North-South topographic gradient and the sun inclination angle of every pixel.
Stars: 3
Forks: 1
Open issues: 0
License: mit
Language: R
Size: 153 MB
Dependencies parsed at: Pending
Created at: almost 8 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: 3 months ago
Commit Stats
Commits: 33
Authors: 1
Mean commits per author: 33.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/munterfi/global-temperature-change-detection
Topics: climate-change, global-temperature, interpolation, kriging, semivariogram, spatial-analysis, spatial-data, spatial-statistics, universal-kriging