Adding modis_LST_mean.py. Python alternative to grass version. Outputs geotif or flt.

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

adding GWR daily method, test in Oregon

running GAM CAI with monthly stations averages for 2000-2010 time period

slight modifications, solving issues for covariate brick production

raster prediction function, modifications related to kriging daily method

raster prediction function, modifications related to gam daily method

interpolation day script, adding kriging daily method prediction

interpolation day script, adding GAM daily prediciction method

LST climatology, changes to output location and adding compression to tif output

testing workflow for Oregon, fixing problems related to automation for covariates production

master script, debugging covariates production for Oregon study area

downloading North America tiles, continued

LST clim averages calc,testing parallel call to python scripts

covariates production script, major changes to automate the process, added also distance to coast product

master script, covariates production automation first changes

downloading of North America tiles, continued...

covariates production, modification related to output and parallelization to speed up

master script, gam fusion using tensor as basis e.g. te(x,y)

master script, gam fusion additional models using s(x,y), s(x,y,LST)

gam fusion prediction, minor output path changes following debugging

data preparation, debugging, clean up of input parameters names

LST script calc, modifications to allow parallel call of python+GRASS script

download and LST calc, modification of output and downloading of South America tiles

covariates preparation script, modifications to handle LST inputs and output directory

LST processing function, test and modifications

LST processing R function, initial commit, calls to python scripts

master script, calling python scripts from R function

master script, adding call to python scripts

initial commit, script for grass set to access python in R

handling modis dowloading outputs

splitting LST climatology script - downloading of modis tiles

splitting LST script-climatology calculation

LST downloading and climatology python script passing arguments from shell

results ouput analyses, modifications outputs and clean up

validation script, modifications to store results in output folder and additional minor changes

raster prediction, modifications log file and output tracking for workflow run

gam fusion, gam CAI functions modifications to store predictions in one unique output folder

data preparation script, modifications to store outputs in one unique output folder

master script modifications regarding outputs and clean up

validation script function for monthly averages for accuracy metrics

results analyses, modifications to allow for gam cai and other methods

validation first modification to add monthly averages for accuracy metrics

gam cai funciton test run

master script gam CAI predictions run and modifications

GAM CAI added to script and modification of function for daily deviation

raster prediction function, modifications to make code general for any interpolation method

master script adding GAM CAI method and parameters for Venezuela region

output resuults analyses, modifications to reflect general name of objects from earlier scripts

modifications script for figures AAG conference and screening of LST

initial commit combined boxplots for later use

code for figure paper and conference:land cover elevation difference,spatial transects

IBS figures code re-use

IBS conference, code used to create figures initial commit

raster prediction, additional modifications following run for Oregon TMAX interpolation

gam fusion function remove change of name for elevation covariate

master script run first test for Oregon interpolation TMAX using covar stack

data preparation, addtional modifications to allow for Oregon and any regions

AAG 2013 figures, covariates stack, screening and modification to allow continuity for Oregon TMAX

initial commit AAG2013 and transition script for continuity of results from Oregon using previous covariates brick

gam fusion function modifications to allow any variable (TMIN) and record results

results output figures modifications to allow TMIN output figures

run TMIN predictions year 2000 Venezuela

results stations and covar outputs modifications

run Venezuela prediction TMAX year 2010 with monthly averages 2000-2011

run prediction follwing modifications for year 2010 Venezuela with monthly 1981-2010 averages

raster prediction and gam fusion modifications for TMIN predictions

master script, running first test for TMIN predictions Venezuela

data preparation following up modifications related to flags and output from functions

Data preparation, degugging query year period and adding other improvements to keep track of datasets used in interpolation

run TMAX prediction Venezuela year 2000 with monthly averages from 2000-2010 time period

run TMAX prediction Venezuela for year 2000 with 1981-2010 period and modifications in sourcing and input parameters

Validation functions, degugging, missing parameters and library

Raster prediction, modifications to solve issues with calls and multiple sourcing

Initial commit summary outputs for covariates and stations used in modeling

Results output analyses, splitting code for covariates output summary