Bio-logging can be used to study animal movements. However, geolocation technologies are not perfect and can generate unaccurate positions. In that way, this application aims at giving an easy way to clean geolocated data thanks to algorithms, but also gives the opportunity to proceed it by hand. A 3D visualization is obtained thanks to CesiumJS.
Prerequisites: Nodejs 10.16.0 (https://nodejs.org/en/ ), Python 3.7.3 (https://www.python.org/downloads/ )
Everything can be done from cmde
Installation:
1/ Create a directory for the application : here it will be named ‘application’ 2/ Go in your new directory and execute $ git clone https://github.com/AJambon/stageNS.git
Back installation:
2/Still in the same directory, execute $ pip install virtualenv
3/ Go in Back directory C:\application\stageNS\Back and
- create virtual environment with python $ -m venv virtualenvironmentname
- activate virtual environment with $ .\virtualenvironmentname\Scripts\activate
- Add the path of the virtual environment folder in the gitignore file
4/ Go in the directory named telemetry2 with $ cd telemetry2
- Dependencies installation with $ python setup.py develop
- execute $ pserve development.ini
Front installation:
5/ Go in src directory with $ cd C:\application\stageNS\Front\stage_front\src
- Open the file config.js
- Replace the apiUrl by your server name
export const myConfig = {
apiUrl : 'http://localhost:6543'
}6/ Go in Front directory with $ cd C:\application\stageNS\Front\stage_front
- Execute $ npm install
- Execute $ npm run dev
Then you can open your browser and enter http://localhost:8080