Get a dataframe of points that should be evaluated due to their proximity (nearness in Z distance) to the bottom

Get a dataframe of points that should be evaluated due to their proximity (nearness in Z distance) to the bottom

Usage

pts_to_reevaluate(cs_pts, threshold = 1, pct_threshold = 0.99)

Arguments

cs_pts

dataframe/sf dataframe of cross section points (requires hy_id, cs_id, and Z values)

threshold

numeric, threshold distance in meters for points to be considered "near the bottom". Default is 1 meter (i.e. check if points are within 1 meter above the bottom)

pct_threshold

numeric, threshold percent of points in the cross section that are within threshold of bottom to determine whether point should be considered for re evaluation. Default is 0.99 (i.e. 99% of points are near the bottom). Default is 0.99 (i.e. 99&%).

Value

dataframe with the hy_id, cs_id, pts_near_bottom (count of pts_near_bottom), and pct_near_bottom (% of points in cross section that are near bottom). An empty dataframe is returned if ZERO points are classified as "near the bottom"