analyses multi-time scale part 5, examining results with covariates in daily deviations

modification validation script following changes in daily deviation options

running gam_CAI with gam and DISTOC for daily deviation surface

validation script check and slight modifications to handle modifications in daily deviations

modificatons for multi-time scale methods, adding gam,gwr,kriging options for daily deviation surfaces

first modifications to add interpolation methods and covaratiates options for daily deviation surfaces

Merge branch 'bp/interp' of code.nceas.ucsb.edu:environmental-layers into bp/interp

analyses for multi-time scale paper, monthly hold-out proportions (0-70%) for all methods

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

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

testing and debugging gam fusion with monthly holdout proportion

analyses paper part 5: monthly hold out gam CAI first results

modification to add monthly hold out for fusion methods

running test kriging CAI with multiple hold out proportion monthly time scale, OR

running test with modified code for monthly hold out and gam CAI in OR

validation script, modifications to make use of same function for daily and monthly accuracy calculations

raster prediction script, validation call for monthly and daily hold out and outputs objects

changes in validation script to deal with hold out proportion at monthly time scale

raster script prediction modifications to deal with for monthly hold out

master script test modifications with range of monthly hold out with zero

dealing with memory swap overload, daily devation debugging following change in monthly outputs

daily deviation function and CAI function, modifications for monthly hold out

modifications for monthly hold out in raster prediction script

first modifications for hold out at monthly timescale, master script and monthly sampling function

contribution covariates fig and tables for manuscript

contribution of covariates fig and tables for paper, functions used in script

initial commit contribution of covariates functions for paper

contribution of covariates paper, script major clean up and modification -splitting functions and script

contribution of covariates paper script major modification analyses and figures

running gam daily comb3 OR with revised screening for paper analyses

running gam daily comb3 OR with revised screening for paper analyses

running kriging fusion comb3 OR with revised screening for paper analyses

running gam cai comb3 OR with revised screening for paper analyses

running gam fusion comb3 OR with revised screening for paper analyses

anlalyses paper contribution of covariates, over training tendency

raster prediction script, adding recording of training metric fits for paper analyses

validation metric script fix small bug following run with one model

results interpolation script, fixing bugs and slight changes

running gam daily mutlisampling 10 to 70% baseline comb3

paper analyses and figure contributio of covariates, modifications

running kriging daily multisampling 10 to 70% prop baseline comb3

running kriging daily with multisampling 10 to 70% for baselin comb3

running Kriging CAI with modified screening of values

covariates script, modification of screening function related to CANHEIGHT and LC

paper 1 manuscript: analyses, figures and tables -daily temp OR predictions

analyses paper part 3: comb3, multisampling and distance to closest fitting station

analyses papers part 2: comparison comb3 baseline covariates

running gam_fusion using comb3 from comparison, temp OR

running GAM_CAI with comb3 for comparison, OR temp

running kriging_CAI for temp OR, master script

running GWR_CAI for temp OR, master script

adding gwr_CAI and kriging_CAI, modifications to raster prediction function

running GWR fusion method, master script, temp OR

modification for gwr fusion and additional methods for CAI

adding gwr fusion method, modifications raster prediction function

master script, running first predictions of temp using kriging fusion in OR

adding kriging fusion method, several modifications in raster predictions functions

master script, temp predictions, for Oregon with 7 hold out prop, 10 samples and 12 dates

master script, multisampling first predictions with new code using prop hold out 10% to 70%

initial commit, analyses paper part 1 with revised results

master script, test run for NASA

master script, preparing data for Oregon for the test run

raster prediction, modification for screening of training, runs by stage

covariates production script, fixing bug without stage 2

gam day, predictions for paper testing covariates combination 4

kriging day, predictions for paper, testing covariates combination 3

gwr day predictions for paper, testing covariate combination 3, part 1

gam day predictions for paper testing covariates combination 3

gam day testing covariates combination for paper OR

gam day with additional screening of training data for model comparison paper OR

gam day additional screening for model comparison, paper OR

gam day, testing covariates combination with nesting and ti() for paper Oregon

gam fusion handling errors

covariates preparation, dealing with projection shift and keeping track of covariates names after screening

gam day with screening of values, OR analyses for paper

testing screening using GAM predictions in Oregon

covariates, fixing screening function to remove extreme values

adding function to define projection system

covariates production function, adding screening for extreme values

master script adding arguments to screen covariates

results output script, modifications to output graphs for added methods: gam_daily, gwr_daily, kriging_daily

data preparation, modifications to run anywhere, Queensland test

master script, testing code for Queensland region using Gam fusion

adding GWR daily method, modifications in interpolation day function script

LST calculation for Queensland region