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fc9f282
update config
Nov 17, 2025
1b4fae2
update template.xml
Nov 17, 2025
cb141cf
add R scripts for local sensitivity analysis
Nov 17, 2025
8fc2243
add local SA analysis script
Nov 17, 2025
68e4be6
add processed data outputs for SA
Nov 17, 2025
a38efee
add design_points_198.csv for multisite SA
Nov 17, 2025
d82f2d6
add sa_design_points.csv for SA generation
Nov 17, 2025
000c14b
add workflow scripts for local SA
Nov 17, 2025
ae7e038
Revert "add processed data outputs for SA"
Nov 18, 2025
a5c942d
Revert "add sa_design_points.csv for SA generation"
Nov 18, 2025
36370ec
made sigma configurable
Nov 18, 2025
4fe8777
update sigma_level
Nov 18, 2025
6e5489b
corrected dplyr namespace
Nov 18, 2025
b38a22a
made quantile block as first entry of sensitivity.analysis
Nov 18, 2025
ff3eafd
save regression_results as csv
Nov 18, 2025
e3ecab6
updated analyze_environmental_gradient() to fits regressions of both …
Nov 18, 2025
481d540
update local sensitivity analysis report
Nov 18, 2025
17db11a
ensure data directory exists
Nov 18, 2025
d77d112
add the data/design_points.csv path
divine7022 Nov 26, 2025
7753a3d
add process_sa_file helper function and refactor doc
divine7022 Nov 26, 2025
76a2b6a
refactored to completely drop the clustering logic and it now acts pu…
divine7022 Nov 26, 2025
10d2acf
fix indent
divine7022 Nov 26, 2025
4aba622
remove XML dependency and replaced raw XML file re-parsing with direc…
divine7022 Nov 26, 2025
9b701ae
correct design_points path
divine7022 Dec 8, 2025
8692fdc
fix sa variables extraction logic
divine7022 Dec 10, 2025
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11 changes: 11 additions & 0 deletions 000-config.yml
Original file line number Diff line number Diff line change
Expand Up @@ -8,8 +8,19 @@ default:
raw_data_dir: "data_raw"
cache_dir: "cache"
pecan_outdir: "/projectnb2/dietzelab/ccmmf/modelout/ccmmf_phase_2b_mixed_pfts_20250701"
master_design_points: "/projectnb2/dietzelab/ccmmf/data/design_points.csv"
pecan_xml_template: "data_raw/template.xml"
sites:
design_points_file: "data_raw/sa_design_points.csv"
n_sample: 10
sensitivity:
sigma_levels: [-3, -2, -1, 1, 2, 3] # Standard
# Or use [-2, -1, 1, 2] for faster runs
# ensemble:
# size: 20
# n_met: 10
# run:
# start_date: "2016-01-01"
# end_date: "2023-12-31"
projection:
ca_albers_crs: 3310
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