Developing Non-Negative Spatial Autoregressive Models for Better Exploring Relation Between Nighttime Light Images and Land Use Types

Developing Non-Negative Spatial Autoregressive Models for Better Exploring Relation Between Nighttime Light Images and Land Use Types

Exploring the relationship between nighttime light and land use is of great significance to understanding human nighttime activities and studying socioeconomic phenomena. Models have been studied to explain the relationships, but the existing studies seldom consider the spatial autocorrelation of ni...

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Bibliographic Details
Main Authors: Honghan Zheng, Zhipeng Gui, Huayi Wu, Aihong Song
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
nighttime light image
land use type
spatial autocorrelation
spatial autoregressive model
component of nighttime light
non-negative space error model
non-negative space lag model
Online Access:https://www.mdpi.com/2072-4292/12/5/798

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