Description Usage Arguments Details Value Author(s) References Examples
This function can be used to convert a data.frame including the values specifying the differences (digree of dissimilarities) between the classes (categories) in a categoricl map, to a list.
1 |
x |
A Raster or Spatial* dataset |
d |
the local distance, or an object of class neighbours created by dneigh function |
n |
number of simulation, default is 999 for small datasets, and 99 for large datasets |
null |
Optional, a null distribution of data (a Raster if x is Raster or a numerical vector if x is either Raster or Spatial dataset ); if not provided, a null distribution is generated by the function |
method |
resampling method for nonparametric simulation, can be either 'boot' (bootstraping; default) or 'perm' (permutation) |
nc |
number of classes (only if x is a continuous variable); if not specified, it is estimated using nclass function |
categorical |
logical, specifies whether x is a categorical; if not specified, it is guessed by the function |
dif |
the level of dissimilarities between different categories (only if x is a categorical variable); see |
... |
Aditional arguments passed to writeRaster function (applied only when x is Raster) |
This function test how significant the local spatial autocorrelation is at each location, so it generates a p-value at each location through a Monte Carlo simulation and a non-parametric approach. See the reference for the details about the method.
If null
distribution is not provided, the function generates a null distribution by drawing a sample at each location from a unique set of m values in dataset (categories) each having a probability of 1/m.
An object same as the input (x
)
Babak Naimi naimi.b@gmail.com
Naimi. B. et al. (under review) ELSA: An Entropy-based Local indicators of Spatial Association, Geographical Analysis;
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