Changes in yml early warnings

Chages in the yml file for the early warnings pipeline

scripts/00_Early_Warnings_2/Early_Warnings.yml

@@ -12,43 +12,43 @@ inputs:
     type: text
     example: "scripts/00_Early_Warnings/input/dir_stack"
   fun_summary:
-    label: fun_summary
-    description: 'Estadistica resumen de cada capa de la coleccion. https://rdrr.io/cran/terra/man/global.html'
-    type: options
+    label: summary function
+    description: 'Corresponds to the statistic by which you want to reduce the data collection. https://rdrr.io/cran/terra/man/global.html'
+    type: text
     options:
       - mean
       - sum
       - mode
     example: mean
   projection_factor:
-    label: projection_factor
-    description: 'Valor por el que se multiplican la cantidad maxima de periodos, para estimar hasta que periodo proyectar. Ej. si tienes 20 periodos, y el valor de proyeccion es 2, entonces se proyectara hasta 40 periodos'
+    label: projection factor
+    description: 'It corresponds to the number of additional periods for which you want to make the projection. If, for example, you wanted to project 100 periods and the collection has 60 periods, the value that must be set would be 40, so that there are 100 periods in total'
     type: int
-    example: 2
+    example: 40
   threshold:
     label: threshold
-    description: 'Umbral en el que se detecta una alerta temprana. Si NULL cuando no se tiene claro, entonces se estima a partir de threshold_trend'
+    description: 'Value of the variable at which an early warning is detected. If NULL when not clear, then estimated from threshold_trend'
     type: text
     example: NULL
   threshold_trend:
-    label: threshold_trend
-    description: "Funcion para estimar el Umbral de deteccion de alerta temprana. x corresponden a los datos observados, y la funcion sobre x a como se estima el umbral. Por ejemplo, para temperatura se toma la media de los 20 primeros periodos x[1:20] sumado a 1.5 x[1:20]+1.5"
+    label: threshold trend
+    description: "Function that determines the threshold value to detect early warning. In the case of temperature, the average of the first 20 periods is taken and 1.5 is added according to the literature. In the case of forest, 30% of the forest is found in year 1 of the collection is taken. When the projected values exceed this value, the alert is identified."
     type: text
     example: "mean(x[1:20])+1.5"
 outputs:
-  grafica1_trend:
-    label: grafica1_trend
-    description: grafica1_trend
+  trend_figure:
+    label: trend figure
+    description: 'It corresponds to the trend graph of the variable of interest. This shows the variable summarized by the selected function for the area of interest and the threshold value.''
     type: image/jpg
   result_table:
-    label: result_table
-    description: result_table
+    label: result table
+    description: 'corresponds to the table that has the results of the analysis. This contains the collection periods, the value of the function that is chosen for the variable, the predicted values, the threshold value and the difference between the observed and predicted values.'
     type: text/csv
   threshold:
     label: threshold
     description: threshold
     type: text
   trend_raster:
-    label: trend_raster
-    description: trend_raster
+    label: trend raster
+    description: 'It corresponds to a raster layer in which each of the cells contains the trend value for all analysis periods.'
     type: text