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  • User Guide
    • Installation
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    • Load Spatial Data
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  • Spatial Weights
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    • Distance-Based Weights
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  • Local Spatial Autocorrelation
    • Local Moran
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    • Local Join Count
    • Quantile LISA
  • Multivariate Local Spatial Autocorrelation
    • Local Neighbor Match Test
    • Multivariate Local Geary
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    • Multivariate Local Join Count
    • Multivariate Quantile LISA
  • Spatial Clustering
    • SKATER
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  • API REFERENCE
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  • quantileLisa()
  • Arguments
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  1. Local Spatial Autocorrelation

Quantile LISA

PreviousLocal Join CountNextLocal Neighbor Match Test

Last updated 3 years ago

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Quantile LISA () is quantile local spatial autocorrelation that applies local join count statistics to quantiles of a continuous variable by converting the continuous variable to a binary variable that takes the value of 1 for a specific quantile. For more information, please read

quantileLisa()

function quantileLisa(
    WeightResult w,
    Number k,
    Number quantile,
    Array val,
    Number permutations, 
    String permutation_method,
    NUmber significance_cutoff, 
    Number seed)

Arguments

Name

Type

Description

w

WeightResult

the WeightResult object created from weights function

k

Number

the total number of quantiles

quantile

Number

the index of which quantile is used in local join count statistics

val

Array

the numeric column that contains the binary values (e.g. 0 and 1) for LISA statistics

permutations

Number

the number of permutations for the LISA computation. Default: 999.

permutation_method

String

the permutation method used for the LISA computation. Options are 'complete', 'lookup'. Default: 'lookup'.

significance_cutoff

Number

the cutoff value for significance p-values to filter not-significant clusters. Default: 0.05.

seed

Number

the seed for random number generator used in LISA statistics. Default: 123456789.

Return

Type

Description

LisaResult

The LisaResult object contains the results of LISA computation: pvalues, clusters, lisa_values, neighbors, labels, colors

Try it yourself in the playground (jsgeoda + deck.gl):

2019
https://geodacenter.github.io/workbook/6d_local_discrete/lab6d.html#quantile-lisa