This set of scripts provides a method of generating a harvest plan given a set of individual tree locations and potential landing sites.
The only external requirement other than python is scipy. To install scipy, run pip install scipy
There are a few manual parameters which must be configured before running. These parameters will eventually be converted into command line arguments
All parameters are located within the find_optimal_cuts.py file.
First are the csv file locations
tree_points_path = "[TREE POINTS CSV]"
road_points_path = "[LANDING POINTS CSV]"
The tree point csv file is expected to contain the following columns:
x y elevation basin height
The landing point csv file is expected to contain the following columns:
x y elevation basin
The order of these columns in the csv file is unimportant.
Next are the grid parameters
top_left = ([TOP LEFT X], [TOP LEFT Y])
cut_width, cut_height = ([GRID CELL WIDTH], [GRID CELL HEIGHT])
These define the offset and scale of the grid
Finally is the heuristic
heuristic_type = "[HEURISTIC TYPE]"
Currently two heuristics are supported, RecordToRecord and SimulatedAnnealing.
The first run will generate a list of feasible harvest units from the input tree point set, and output to a json file. This file will subsequently be used instead of the csv files. Solutions will be output to a folder with the heuristic name, with the filename containing the trial number and objective value
After configuration, to run use python find_optimal_cuts.py