update interpreting results section of Rec chapter.

Author: davemfish

source/en/recreation.rst

@@ -139,7 +139,7 @@ Running the Model
 
 The model uses an interface to input all required and optional data (see :ref:`rec-data-needs`). The AOI is sent to a server managed by the Natural Capital Project, where PUD and TUD computations are performed. Consequently, this model requires a connection to the internet. The model may be run with three configurations:
 
-#. Get a map of visitation rates in your Area of Interest. Provide a "Workspace" and "Area of Interest", do not check "Compute Regression". Results include "pud_results.gpkg" and "tud_results.gpkg" (:ref:`rec-interpreting-results`).
+#. Get a map of visitation rates in your Area of Interest. Provide a "Workspace" and "Area of Interest", do not check "Compute Regression". Results include "pud_results.gpkg", "tud_results.gpkg", and "regression_data.gpkg" (:ref:`rec-interpreting-results`).
 #. Get a map of visitation rates and compute a regression with one set of predictors. Provide a "Workspace" and "Area of Interest", check "Compute Regression" and provide "Predictors Table" :ref:`rec-data-needs`. Additional results include "regression_data.gpkg", "regression_coefficients.csv" and "regression_summary.txt" (:ref:`rec-interpreting-results`).
 #. Estimate visitation rates for a Scenario. Provide a "Workspace" and "Area of Interest", check "Compute Regression" and provide "Predictors Table" and "Scenario Predictors Table" (:ref:`rec-data-needs`). Additional results include "scenario_results.gpkg" (:ref:`rec-interpreting-results`).
 
@@ -174,15 +174,16 @@ Model Outputs
 
 + **TUD_monthly_table.csv**: See the description of **PUD_monthly_table.csv**, but instead of photo-user-days, this file contains counts of twitter-user-days.
 
-+ **regression_data.gpkg** (output if Compute Regression is selected): AOI polygons with all the variables needed to compute a regression, including predictor attributes and the user-days response variable. The fields include:
++ **regression_data.gpkg**: AOI polygons with all the variables needed to compute a regression, including predictor attributes and the user-days response variable. The fields include:
 
-    + One field for each predictor given in the Predictor Table. The values of those fields are the metric calculated per response feature (:ref:`rec-data-needs`: Predictor Table).
-
     + **pr_PUD**: the proportion of the sum of PUD_YR_AVG across all features
 
     + **pr_TUD**: the proportion of the sum of TUD_YR_AVG across all features
 
     + **avg_pr_UD**: average of pr_TUD and pr_TUD. This variable is logit-transformed and then used as the response variable in the regression model.
+    
+    + If Compute Regression is selected, one field for each predictor given in the Predictor Table. The values of those fields are the metric calculated per response feature (:ref:`rec-data-needs`: Predictor Table).
+
 
 + **regression_summary.txt** (output if Compute Regression is selected):