- This markdown contains informations about a dataset that is related to the main parameters of rockfall in slopes and the risk that these events could cause. It's a small dataset with more than 1000 rows and 9 variables that the goal is to work with data analysis/visualization and machine learning algorithms to predict the target mean_range.
- This code was made on R, which is a language that is not entirely unlike (versions 3 and 4 of) the S language developed at AT&T Bell Laboratories by Rick Becker, John Chambers and Allan Wilks. R is free software distributed under a GNU-style copyleft. The core of R is an interpreted computer language with a syntax superficially similar to C, but which is actually a "functional programming language" with capabilities similar to Scheme. The language allows branching and looping as well as modular programming using functions.
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The 'rockfall' data frame dim contains 1050 rows and 9 variables:
- ID = Index counter
- h_enc = Slope height (m)
- ang_enc = Slope angle (°)
- rock_mass = Mass of the rock (kg)
- vel_rad = Angular velocity of the rock (rad/s)
- mean_range = Mean range value of the rock simmulated on Rocfall (m)
- porc_ac = Rock percentage that falls on the 'Critic Area', according to CPRM mapping manual
- porc_disp = Rock percentage that falls on the 'Dispersion Area', according to CPRM mapping manual
- porc_rock_mapped = porc_ac + porc_disp'