make_everything: Make the whole analysis for a data set

In nxskok/seaiceR: Analysis of Temporal and Spatial Trends in Sea Ice

Description

Make the whole analysis for a data set

Usage

make_everything(d, locations, bounding_box = F, zoom = 5,
  scaling = 1, n_cluster)

Arguments

d	wide-format data set (see make_wide)
locations	lats and longs of the locations (data frame with three columns Location, Longitude, Latitude)
bounding_box	bounding box for map: bottom left long, lat; top right long, lat, longitudes W negative. Defaults to FALSE; then determined from data.
zoom	zoom for map; higher requires more map tiles, but produces better map. Default 5, max 18.
scaling	global scaling factor for points on Theil-Sen map, default 1 (bigger makes all points bigger)
n_cluster	number of clusters to use for Ward and K-means maps

Value

list of 2: the temporal results from nake_temporal; the spatial results from make_spatial.

Author(s)

Ken Butler, [e-mail]

Examples

make_everything(nine_points, nine_points_locations, n_cluster=4)

nxskok/seaiceR documentation built on Nov. 4, 2019, 10:12 p.m.