doc: update readme on dependency and installation

README.md

@@ -21,18 +21,32 @@ Why Borea? B for Box and orea is a back slang of aero.
 
 ## Dependency
 
+Borea needs:
+- python >= 3.9
+- gdal >= 3.3.2
+- numpy <= 1.26.4
+- pyproj
+- scipy
+- pandas
+- dataclasses
+
 ### Conda/Mamba
-For conda/mamba environment the depencency is [borea_dependency/environment.yml](./borea_dependency/environment.yml).  
+For conda/mamba environment is [borea_dependency/environment.yml](./borea_dependency/environment.yml).  
 
 ### Pip venv
-For pip environment (venv) the depencency is [borea_dependency/requirements.txt](./borea_dependency/requirements.txt)  
+For pip environment (venv) is [borea_dependency/requirements.txt](./borea_dependency/requirements.txt)  
 and you need to install `libgdal-dev` and `GDAL>=3.3.2`.
 
 ## Installation
 
-You need to retrieve the repository with ```git clone``` and install the environment. By ```conda``` or ```mamba``` with ```environment.yml``` or ```pip``` with ```requirements.txt```.
+There are two ways to install Borea with the repository `git clone` or with pip `pip install ign-borea` [doc](./README_borea_lib.md).
+
+With **the repository**, you also need to install the environment.  
+With **pip** the environment comes with it but does not contain GDAL, which you have to install yourself.
 
+### Installation of the environment
 #### Conda/Mamba
+GDAL is contained and installed in the conda/mamba environment.
 ```
 conda env create -f ./borea_dependency/environment.yaml
 ```
@@ -41,8 +55,7 @@ mamba env create -f ./borea_dependency/environment.yaml
 ```
 
 #### Pip
-The package exists on pip with `pip install ign-borea` without GDAL
-
+GDAL is not included in the pip environment, so you have to install it yourself.
 ```
 pip install -r ./borea_dependency/requirements.txt
 sudo apt-get install libgdal-dev

README_borea_lib.md

@@ -27,6 +27,11 @@ pip install GDAL==<GDAL VERSION FROM OGRINFO>
 ```
 You can find more information on [mothergeo-py](https://mothergeo-py.readthedocs.io/en/latest/development/how-to/gdal-ubuntu-pkg.html) if you have problems installing GDAL.
 
+#### Conda/Mamba
+
+You create your conda/mamba environment with pip in it, then in the environment you install borea with `pip install ign-borea` and GDAL with `conda install GDAL` or `mamba install GDAL`.  
+Note: GDAL version must be >= 3.3.2
+
 #### In the QGIS environment
 
 View the doc on [borea github docs/installation/In_QGIS.md](https://github.com/IGNF/Borea/tree/main/docs/installation/In_QGIS.md).
@@ -101,7 +106,7 @@ The DataFrame **pt3d** is a table with 5 column and n line. The id of column mus
 
     it can be created with the function `read_file_pt_dataframe(path_file_pt,header_file,"pt3d")`  
 The dictionary **pinit** which give the initialization point X, Y, Z. A point on the worksite with a z at an approximate flying height. The name of the key in the dictionary is `coor_init`.  
-Example at the end of explanation of function [file](https://github.com/IGNF/Borea/tree/main/docs/functions/Space_resection.md).
+Example at the end of explanation of function [file](https://github.com/IGNF/Borea/tree/main/examples/eg_space_resection.py) l.38.
 
 * You can calculate some control point statistics to see how accurate your site is `stat = Stat(work, pathreturn, control_type)` to init the object and run for all stat with `stat.main_stat_and_save()`. Make stat on function image to world and world to image, if there are data. And save result on *pathreturn/Stat_{Name_worksite}.txt*.