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Proceedings Paper

Population dynamics in Yangtze River delta: a neural-network and spatial statistical analysis
Author(s): Chao Wang; Runhe Shi; Wei Wei; Chaoshun Liu; Tao Qi; Wei Gao
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Paper Abstract

Population dynamics has major impacts on regional ecosystem and socioeconomic development. Its prediction has become a key step for assessing ecosystems and socioeconomic development. Using the population data of Yangtze River Delta, a model created by Back Propagation (BP) neural network were adapted to probe and describe the dynamic evolution, and the Moran Index was used in analyzing spatial autocorrelation quantitatively.

Paper Details

Date Published: 24 October 2012
PDF: 8 pages
Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130L (24 October 2012); doi: 10.1117/12.928030
Show Author Affiliations
Chao Wang, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Runhe Shi, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Wei Wei, East China Normal Univ. (China)
Chaoshun Liu, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Tao Qi, East China Normal Univ. (China)
Wei Gao, East China Normal Univ. (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation (China)
Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 8513:
Remote Sensing and Modeling of Ecosystems for Sustainability IX
Wei Gao; Thomas J. Jackson, Editor(s)

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