Commit f20db00b authored by Romulo Pereira Goncalves's avatar Romulo Pereira Goncalves
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Merge and commit

parents 095a85bb fa1238c4
......@@ -20,7 +20,6 @@ output:
pdf_document:
toc: true
toc_depth: 2
always_allow_html: yes
header-includes:
- \usepackage{caption}
- \captionsetup[figure]{labelformat=empty}
......@@ -259,13 +258,13 @@ Habitat sampling output. R object that contains:
```
### 4.1.2 Interactive probability maps and downloading output
An interactive map is plotted in a web browser (e.g., Firefox for Linux) containing a selected habitat type. The probability threshold can be viewed by hovering the mouse over the map.
An interactive map is plotted in a web browser (e.g., Firefox for Linux) containing a selected habitat type. The number of models predicting this habitat type can be viewed by hovering the mouse over the map.
![](./images/inter_map_ex.png){width=65%}
![](./images/inter_map_ex_new.png){width=65%}
From this interactive map, the user has two choices:
1. Extract class type on the basis of a threshold if the probability map meets the user's evaluation
1. Extract class type on the basis of a threshold (minimum number of models assigning a pixel to that class type) if the probability map meets the user's evaluation
If the user chooses to extract the class, a user defined threshold is entered into the R console and the following files are saved:
......
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......@@ -388,15 +388,16 @@ Habitat sampling output. R object that contains:
### 4.1.2 Interactive probability maps and downloading output
An interactive map is plotted in a web browser (e.g., Firefox for Linux)
containing a selected habitat type. The probability threshold can be
viewed by hovering the mouse over the map.
containing a selected habitat type. The number of models predicting this
habitat type can be viewed by hovering the mouse over the map.
![](./images/inter_map_ex.png)
![](./images/inter_map_ex_new.png)
From this interactive map, the user has two choices:
1. Extract class type on the basis of a threshold if the probability
map meets the user’s evaluation
1. Extract class type on the basis of a threshold (minimum number of
models assigning a pixel to that class type) if the probability map
meets the user’s evaluation
If the user chooses to extract the class, a user defined threshold is
entered into the R console and the following files are saved:
......
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