From e5abdd8a23c4d0dc5170b708a64c03ea02c03807 Mon Sep 17 00:00:00 2001
From: vogtpet <68806384+vogtpet@users.noreply.github.com>
Date: Thu, 21 Oct 2021 12:01:23 +0200
Subject: [PATCH] Update en.rst

updated info to be compliant with GWB 1.8.4
Note:
- reading parameters from input/acc-parameters file in now shifted by 2 lines
- Jupyter dashboard for Accounting needs an additional button for the new option Big3pink
---
 doc/en.rst | 27 +++++++++++++++++++--------
 1 file changed, 19 insertions(+), 8 deletions(-)

diff --git a/doc/en.rst b/doc/en.rst
index c05da79..2258434 100644
--- a/doc/en.rst
+++ b/doc/en.rst
@@ -118,15 +118,16 @@ You will need to select parameters for your computation:
     -   Foreground connectivity: 8
     -   spatial pixel resolution: 25
     -   area thresholds: 200 2000 20000 100000 200000
-    -   options: default
+    -   option: default
+    -   big3pink: 0
 
 Foreground connectivity
 #######################
 
-This set the foreground connectivity of your analysis: 
+This sets the foreground connectivity of your analysis: 
 
 -   8 neighbors (default) will use every pixel in the vicinity (including diagonals)
--   4 neighbors only use the vertical and horizontal one
+-   4 neighbors only use the vertical and horizontal ones
 
 .. figure:: https://raw.githubusercontent.com/12rambau/gwb/master/doc/img/connectivity.png
     :alt: connectivity image
@@ -150,6 +151,15 @@ Two computation options are available:
 -   stats + image of viewport (default)
 -   stats + images of ID, area, viewport (detailed)
 
+Big3pink
+########
+
+Two options are available: 
+
+-   do not highlight the 3 largest objects (0)
+-   show the 3 largest objects in pink color (1)
+
+
 Run the analysis
 """"""""""""""""
 
@@ -463,7 +473,7 @@ You will need to select parameters for your computation:
     -   Spatial pixel resolution: 25
     -   Computation precision: float-precision
     -   Windows size: 23
-    -   Options: average per-patch density, color-coded into 2 classes (FAD-APP2)
+    -   Options: fragmentation at pixel or at patch level with various number of color-coded classes
 
 Foreground connectivity
 #######################
@@ -490,11 +500,12 @@ Set up to 10 observation windows sizes (in pixels).
 Options
 #######
 
-Three computation options are available: 
+Four computation options are available: 
 
--   FAD: per-pixel density, color-coded into 6 fragmentation classes
--   FAD-APP2: average per-patch density, color-coded into 2 classes
--   FAD-APP5: average per-patch density, color-coded into 5 classes
+-   FOS5: per-pixel density, color-coded into 5 fragmentation classes
+-   FOS6: per-pixel density, color-coded into 6 fragmentation classes
+-   FOS-APP2: average per-patch density, color-coded into 2 classes
+-   FOS-APP5: average per-patch density, color-coded into 5 classes
 
 Run the analysis
 """"""""""""""""