A Map Spectrum-Based Spatiotemporal Clustering Method for GDP Variation Pattern Analysis Using Nighttime Light Images of the Wuhan Urban Agglomeration

A Map Spectrum-Based Spatiotemporal Clustering Method for GDP Variation Pattern Analysis Using Nighttime Light Images of the Wuhan Urban Agglomeration

Estimates of gross domestic product (GDP) play a significant role in evaluating the economic performance of a country or region. Understanding the spatiotemporal process of GDP growth is important for estimating or monitoring the economic state of a region. Various GDP studies have been reported, an...

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Bibliographic Details
Main Authors: Penglin Zhang, Shuaijun Liu, Juan Du
Format: Article
Language:English
Published: MDPI AG 2017-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
map spectrum
spatiotemporal clustering
nighttime light image
GDP growth patterns
Wuhan urban agglomeration
Online Access:http://www.mdpi.com/2220-9964/6/6/160

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http://www.mdpi.com/2220-9964/6/6/160

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