running weather anomalies

ecohealthalliance · Oct 13, 2023 · 4ef3b4d · 4ef3b4d
1 parent 35a4516
commit 4ef3b4d
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Showing 3 changed files with 3 additions and 2 deletions.
diff --git a/R/calculate_weather_anomalies.R b/R/calculate_weather_anomalies.R
@@ -54,7 +54,7 @@ calculate_weather_anomalies <-
       lag_dates <- model_dates |> slice((row_select - start):(row_select - end))
 
       # Lag: calculate mean by pixel for the preceding x days
-      lagged_means <- weather_dataset |> 
+      lagged_means <- weather_transformed_dataset |> 
         filter(date %in% !!lag_dates$date) |> 
         group_by(x, y) |> 
         summarize(lag_relative_humidity_mean = mean(relative_humidity),

diff --git a/_targets.R b/_targets.R
@@ -323,7 +323,7 @@ data_targets <- tar_plan(
                model_dates_selected,
                lag_intervals,
                overwrite = FALSE),
-             pattern = head(model_dates_selected, 20),
+             pattern = model_dates_selected,
              format = "file", 
              repository = "local"),  
   # at 10 min per date, this would take 4260 minutes = 71 hours = 3 days when run sequentially

diff --git a/_targets/meta/meta b/_targets/meta/meta
@@ -6521,3 +6521,4 @@ transform_modis_ndvi|function|28d79a3d7f63479a
 get_wahis_rvf_outbreaks_raw|function|a8564ce9127c9c1d
 get_nasa_weather_coordinates|function|2c23f9e4d93cd8ca
 ecmwf_forecasts_transformed_39321319|branch|3acf03c76cfe7948|65f4c5c000b3cdb0|df72ad0db9d40283|-1425929150|data/ecmwf_forecasts_transformed/ecmwf_seasonal_forecast_sys5_2013.gz.parquet|t19643.7287401079s|00558ffa7074450f|3048433881|file|local|vector|ecmwf_forecasts_transformed||931.08||
+weather_anomalies_ed20e728|branch|d63f00a95328aa64|5ef87258cf0b822e|504645e86440039f|258210251|data/weather_anomalies/weather_anomaly_2014-01-03.gz.parquet|t19643.7668759296s|be1ce42ffa69c406|25575651|file|local|vector|weather_anomalies||46.615||