A Hybrid Population Distribution Prediction Approach Integrating LSTM and CA Models with Micro-Spatiotemporal Granularity: A Case Study of Chongming District, Shanghai
dc.contributor.author | Pengyuan Wang | |
dc.contributor.author | Xiao Huang | |
dc.contributor.author | Joseph Mango | |
dc.contributor.author | Di Zhang | |
dc.contributor.author | Dong Xu | |
dc.contributor.author | Xiang Li | |
dc.date.accessioned | 2025-05-14T12:53:40Z | |
dc.date.available | 2025-05-14T12:53:40Z | |
dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21947 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject.ddc | 550 | |
dc.title | A Hybrid Population Distribution Prediction Approach Integrating LSTM and CA Models with Micro-Spatiotemporal Granularity: A Case Study of Chongming District, Shanghai | |
dc.type | ||
dspace.entity.type | Distribution | |
relation.isDatasetOfDistribution | c26d8438-6ded-43f9-9786-0d2515e15e2d | |
relation.isDatasetOfDistribution.latestForDiscovery | c26d8438-6ded-43f9-9786-0d2515e15e2d |
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