Alzette 2.0 Forest РApp Prototype and Growth Simulation

The Alzette 2.0 tree adoption app is aimed at allowing citizens participation in planting a bioremediation forest along the Alzette river southern floodplain.

The following exercise is an initial interface prototype.

  • Through the app citizens are encouraged to plot their own trees within the location after selecting a tree out of the catalogue. The first step in the script is identifying several prototypes of what a random forest designed by people could look like.
  • The second step is to allow the users to visualize exploration routes within the forest based on inputs of a certain type of tree to see. These routes compare the length of different paths taken based on the highest number of Oak trees for example. This is aimed at encouraging the users to interact with the forest and make the process of exploring it more fun.

The data used is collected from Luxembourg Ge portal and processed through QGIS prior to visualizing in Grasshopper.

The following shows a simulation of the natural random growth of the forest based on user selection of where to plot their adopted trees

 

Several variations of forest growth were explored to simulate random user selection

 

3 exploration routes were selected:

  • Exploring the largest number of Oak trees growing on the route from point A to point B
  • Exploring the largest number of Bald Cypress trees growing on the route from point A to point B
  • Shortest route from point A to point B

 

The graph below showcases a comparison between the three routes based on highest number of trees seen along the route and in return these would be the highest shaded routes at the full growth of the forest

Alzette Forest-App Prototype ,is a project of IAAC, Institute for Advanced Architecture of Catalonia developed at Master in City & Technology in 2020/21 by student: Leyla Saadi and faculty: Eugenio Bettucchi & Iacopo Neri