Deloitte model procedure

Processing procedure

It is recommended that the processing be done in the R environment provided by the Docker Container at https://hub.docker.com/repository/docker/earthlabcu/gff_pred

In order to run this container,

sudo docker container run -d -p 8787:8787 earthlabcu/gff_pred:latest

Then from your browser navigate to localhost:8787 to access the rstudio application. The username is rstudio and the password is password.

Next, run the following scripts in order:

Download and Create yearly tiffs from GridMet past climate data

data description and download details @ https://www.climatologylab.org/gridmet.html

need URLS in CSV file pointing to NetCDF files

GridMET-climate-data.R

Summarizes Housing data at L4 ecoregions, monthly time steps

ICLUS_L4_Population.R

From Here below needs to be run for each MACA model

Download and Create yearly tiffs from MACA future climate data

data description and download details @ https://climate.northwestknowledge.net/MACA/index.php

need URLS in CSV file pointing to NetCDF files

MACA_yearly.R

Create Ecoregion_summaries of climate data at monthly step

Level4_Ecoregion_climate.R

Merge data to create Count Data frame

L4_Eco_Count_DF.R

Make Stan_rds other rds files to run & process model output

this file parses the US into 12 subset to be analyzed because it is far

too large

make-stan-V6.R

From Here on you absolutely need HPC capabilities

I recommend at least 16 CPU and 128GB of RAM per subset

#Run models fit-count-zinb-nuts.R # need to point to correct zi_d file on line 3 fit-burn-area-lognormal.R # need to point to correct stan_d file on line 3

make sure name the output correct file name line 15

#Summarizing model output Model_output_processing.R Combine_to_CONUS.R