modifications, contribution of covariates, figures and analyses for paper 1, OR
running gwr CAI with 40-70% monthly hold out for multi-time scale paper, OR
running gwr fusion, 40-70% monthly hold out for multi-time scale paper, OR
running gwr fusion, 0-30% holdout for multi-time scale paper, OR
Merge branch 'bp/interp' of code.nceas.ucsb.edu:environmental-layers into bp/interp
Adding modis_LST_mean.py. Python alternative to grass version. Outputs geotif or flt.
analyses for multi timescale methods paper, part 5, hold out comparisons
running gwr CAI with monthly hold out from 0.4 to 0.7 in OR, paper analyses
running gwr CAI with monthly hold out from 0.2 to 0.3 in OR,paper analyses
runnin gwr CAI, monthly hold out 0 to 0.1 for OR, paper analyses
Merge branch 'aw/precip' of code.nceas.ucsb.edu:environmental-layers into aw/precip
Added routine to process identify regions of concern in modis cloud data
analyses paper methods part 5, monthly hold out (0 to 70%) for gam_fus and kriging_fus
running kriging fusion with 40 to 70% monthly hold out and changes in paper 1 script figures and analyses
running kriging fusion with 20 to 30% monthly holdout for multitimescale paper, OR
running kriging fusion with 0 to 10% monthly holdout for multitimescale paper, OR
running gam fusion with 40 to 70% monthly holdout for multitimescale paper, OR
running gam fusion with 20-30% monthly holdout, multitimescale paper, OR
running gam fusion with 0-10% monthly hold-out for multitimescale paper,OR
nearly finished first global run of MOD35 cloud frequency
Removing random shapefile
Updated C5 MOD35 Processing Path code and C5MOD35_Evaluation in preparation for publication
testing and debugging gam fusion with monthly holdout proportion
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