rs_dist_diff: rs_dist_diff

In mpadge/hotspotr: Compare Spatial Structure of Hotspots with Neutral Models

Description

Averages results of a number of neutral models

Usage

rs_dist_diff(nbs, wts, alpha = 0.1, sd0 = 0.1, niters = 1,
  ntests = 1000, ac_type = "moran", log_scale = TRUE, mean_stats)

Arguments

nbs	An spdep nb object listing all neighbours of each point
wts	Weighting factors for each neighbour; must have same length as nbs. Uniform weights used if not given.
alpha	Strength of spatial autocorrelation
sd0	Standard deviation of truncated normal distribution used to model environmental variation (with mean of 1)
niters	Number of sequential iterations of spatial autocorrelation
ntests	Number of repeats of neutral model used to calculate mean rank–scale distribution
ac_type	type of autocorrelation statistic to use in tests (moran, geary, or getis-ord=go)
log_scale	If TRUE, raw hotspot values are log-transformed
mean_stats	Mean rank–scale distributions returned from neutral_hotspots: a matrix of 2 columns

Value

A vector of hotspot values sorted from high to low

See Also

ives

mpadge/hotspotr documentation built on May 23, 2019, 6:23 a.m.