Man pages for biamouras/accSeg
Functions for my MSc analysis

cumopProcesses the cumulative accessibility.
getWeightComputes the weights for neighborhood.
globalDissimilarityComputes the global dissimilarity
globalEntropyComputes the global entropy score E (diversity).
globalExposureComputes the global exposure measures
globalIndexHComputes global index H
globalMoranProcesses the global Moran's I bivariate
globalMoranSimEvaluates the p-value of the Moran's I
globalSegregSummary of global segregation indexes
idProcessProcesses the ids of data frame 1 and data frame 2
laggedMoranProcesses the lagged value to plot Moran scatter plot
LISAmapsProcesses the local simulations and local Moran to produce...
localDissimilarityComputes local dissimilarity for all groups.
localEntropyComputes the local entropy score for a unit area Ei...
localExposureComputes the local exposure index of group m to group n. in...
localIndexHComputes the local entropy index H for all localities.
localIntensityProcesses the local population intensity for each locality
localMoranProcesses the local Moran's I bivariate
localMoranSimEvaluates the p-value of the Moran's I
localSegregSummary of local segregation indexes
nbMatrixProcesses the neighbourhood matrix
popIntensityComputes the local population intensity for all groups based...
potentialProcesses the potential (or gravity) accessibility.
simulaMoranEvaluates the p-value of the Moran's I
twosfcaProcesses the competition accessibility.
biamouras/accSeg documentation built on Nov. 19, 2020, 8:07 a.m.