Abstract
The construction of composite indices of quality of life with the help of principal component analysis (PCA) has provided important information, apart from dimensionality reduction, about the position of each observation unit in relation to other units. However, PCA failed to address the particularities of spatial data such as spatial heterogeneity and spatial autocorrelation. Spatial statistics such as global Moran’s I and local Moran’s I have provided important information about the association among spatial units.
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Saitluanga, B.L. (2017). Quality of Life and Residential Clusters in Aizawl City. In: Himalayan Quality of Life. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-319-53780-1_6
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DOI: https://doi.org/10.1007/978-3-319-53780-1_6
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