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http://dx.doi.org/10.22640/lxsiri.2020.50.1.25

A Study on the Spatial Distribution Patterns of Urban Green Spaces Using Local Spatial Autocorrelation Statistics  

Kim, Yun-Ki (Department of Land Management, Choengju University)
Publication Information
Journal of Cadastre & Land InformatiX / v.50, no.1, 2020 , pp. 25-45 More about this Journal
Abstract
The primary purpose of this study is to compare and analyze the performance of local spatial autocorrelation techniques in identifying spatial distribution patterns of green spaces. To achieve the objective, this researcher uses satellite image analysis and spatial autocorrelation techniques. The result of the study shows that the LISA cluster map with the spatial outlier cluster is superior to other analytical methods in identifying the spatial distribution pattern of urban green space. This study can contribute to the related fields in that it uses several different research methods than the existing ones. Despite this differentiation and usefulness, this study has limitations in using low-resolution satellite imagery and NDVI among vegetation indices in identifying spatial distribution patterns of green areas. These limitations may be overcome in future studies by using UAV images or by simultaneously using several vegetation indices.
Keywords
Green Spaces; Spatial; Distribution; Patterns; Spatial Autocorrelation; LISA; NDVI;
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