upscale: Upscaling of smooth components

In spind: Spatial Methods and Indices

Description

The analysis is based a wavelet multiresolution analysis using only smooth wavelet components. It is a 2D analysis taking the grid structure and provides scale-specific results for data sampled on a contiguous geographical area. The dataset is assumed to be regular gridded and the grid cells are assumed to be square. The scale-dependent results are graphically displayed.

Usage

upscale(
  f,
  coord,
  wavelet = "haar",
  wtrafo = "dwt",
  pad = mean(f),
  color.maps = FALSE
)

Arguments

f	A vector.
coord	A matrix of two columns with corresponding cartesian coordinates. Currently only supports integer coordinates.
wavelet	Name of wavelet family. haar, d4, and la8. are possible. haar is the default.
wtrafo	Type of wavelet transform. Either dwt or modwt. dwt is the default.
pad	A numeric value for padding the matrix into a bigger square. Default is set to mean(f).
color.maps	A logical value. If TRUE, produces colorful maps. If FALSE, produces grayscale maps. Default is grayscale. NOW DEPRECATED, color maps will not be produced in future versions.

Value

A set of plots showing the matrix image at each value for level.

Author(s)

Gudrun Carl

Examples

data(carlinadata)
coords <- carlinadata[ ,4:5]

# Upscaling of smooth components
upscale(carlinadata$land.use, coord = coords)

spind documentation built on Jan. 13, 2021, 6:04 p.m.