A Hybrid Population Distribution Prediction Approach Integrating LSTM and CA Models with Micro-Spatiotemporal Granularity: A Case Study of Chongming District, Shanghai.
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%0 Journal Article
%1 journals/ijgi/WangHMZXL21
%A Wang, Pengyuan
%A Huang, Xiao
%A Mango, Joseph
%A Zhang, Di
%A Xu, Dong
%A Li, Xiang
%D 2021
%J ISPRS Int. J. Geo Inf.
%K dblp
%N 8
%P 544
%T A Hybrid Population Distribution Prediction Approach Integrating LSTM and CA Models with Micro-Spatiotemporal Granularity: A Case Study of Chongming District, Shanghai.
%U http://dblp.uni-trier.de/db/journals/ijgi/ijgi10.html#WangHMZXL21
%V 10
@article{journals/ijgi/WangHMZXL21,
added-at = {2024-07-15T00:00:00.000+0200},
author = {Wang, Pengyuan and Huang, Xiao and Mango, Joseph and Zhang, Di and Xu, Dong and Li, Xiang},
biburl = {https://www.bibsonomy.org/bibtex/24390c400f086a4f0cd5442bc00aa6987/dblp},
ee = {https://doi.org/10.3390/ijgi10080544},
interhash = {5cef6395d332a17e109b0ee9d4505631},
intrahash = {4390c400f086a4f0cd5442bc00aa6987},
journal = {ISPRS Int. J. Geo Inf.},
keywords = {dblp},
number = 8,
pages = 544,
timestamp = {2024-07-22T07:02:52.000+0200},
title = {A Hybrid Population Distribution Prediction Approach Integrating LSTM and CA Models with Micro-Spatiotemporal Granularity: A Case Study of Chongming District, Shanghai.},
url = {http://dblp.uni-trier.de/db/journals/ijgi/ijgi10.html#WangHMZXL21},
volume = 10,
year = 2021
}
