get_action_arb¶
-
process_ais_data.
get_action_arb
(row, options, grid_params)¶ Calculates an arbitrary action from the previous state to current state relative to the previous state.
First, the relative offset between the current and previous state in rows and columns is calculated. The action is then calculated according to a spiral rule beginning with the previous state, so self-transitions are defined as
0
as an initial condition. Spiral inspired by the polar functionr = theta
.Example
For example, if
prev_state = 5
,cur_state = 7
, andnum_cols = 4
, then our state grid is populated as follows:8 9 10 11 4 p 6 c 0 1 2 3
Where p represents the location of the previous state, and c represents the location of the current state. Then the current state’s position relative to the previous state is
rel_row = 0
,rel_col = 2
. Our action spiral then looks like this:15 14 13 12 11 15 14 13 12 11 16 4 3 2 10 16 4 3 2 10 17 5 0 1 9 -> 17 5 p 1 c 18 6 7 8 24 18 6 7 8 24 19 20 21 22 23 19 20 21 22 23
Thus, this algorithm will return
9
as the action.- Parameters
row (pandas.Series) – One row of the DataFrame the function is applied to, containing the trajectory number, previous state, current state, longitude, and latitude.
options (dict) – The script options specified in the
config_file
.grid_params (dict) – The grid parameters specified in the
config_file
.
- Returns
State-action-state triplets that interpolate between
prev_state
andcur_state
.- Return type
dict