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Akademický článek

The Integration of Linguistic and Geospatial Features Using Global Context Embedding for Automated Text Geocoding

Autor: Zheren Yan, Can Yang, Lei Hu, Jing Zhao, Liangcun Jiang, Jianya Gong

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 9, p 572 (2021)

Geocoding is an essential procedure in geographical information retrieval to associate place names with coordinates. Due to the inherent ambiguity of place names in natural language and the scarcity of place names in textual data, it is widely recogn

Externí odkaz: https://doaj.org/article/605cb833dd8a4b87a328cb0409f0684a

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A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing

Autor: Fan Gao, Boyi Shangguan, Zheren Yan, Peng Yue

Publikováno v: International Journal of Geographical Information Science. 34:2243-2274

High performance computing is required for fast geoprocessing of geospatial big data. Using spatial domains to represent computational intensity (CIT) and domain decomposition for parallelism are p...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::018e0e4082d896bed14553928fc7187b
https://doi.org/10.1080/13658816.2020.1730850

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The Integration of Linguistic and Geospatial Features Using Global Context Embedding for Automated Text Geocoding

Autor: Lei Hu, Can Yang, Jianya Gong, Jing Zhao, Liangcun Jiang, Zheren Yan

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 572, p 572 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 9

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::501946b2f8f04b15fe83726ddc9b2b79
https://www.mdpi.com/2220-9964/10/9/572

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A stream computing approach for live environmental models using a spatial data infrastructure with a waterlogging model case study

Autor: Boyi Shangguan, Deodato Tapete, Peng Yue, Zheren Yan

Publikováno v: Environmental Modelling & Software. 119:182-196

Traditional environmental model simulations often use archived data as inputs. Recent advancement of Sensor Web technologies in Spatial Data Infrastructures (SDIs) allows real-time observations to be fed into models to generate “live” models. A k

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e064cdf23bbe873045ff24e7b81080b7
https://doi.org/10.1016/j.envsoft.2019.06.009

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Contextualized Spatial–Temporal Graph Networks for Taxi Demand Prediction

Autor: Liangcun Jiang, Chenxiao Zhang, Fan Gao, Zheren Yan, Boyi Shangguan, Peng Yue

Publikováno v: Agro-Geoinformatics

Taxi demand prediction is a basis task for taxi on-demand services. However, accurate taxi demand prediction is still a challenge, because it needs to decouple complex time and space dependence as much as possible. Recently, the research on spatial-t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::834435c76d4469e98f4a89b730d4ca52
https://doi.org/10.1109/agro-geoinformatics50104.2021.9530294

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Computational Domain Decomposition in Parallel Geoprocessing – the Case on Generating DEM from LiDAR Point Cloud

Autor: Fan Gao, Zheren Yan, Peng Yue

Publikováno v: IGARSS

High performance computing technologies have been widely used in geoprocessing. As a typical case of data and computationally intensive applications, generating DEM from LiDAR point clouds can benefit from parallelization. Spatial inhomogeneity of po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a2484b5201a35cca16a14e380c890fec
https://doi.org/10.1109/igarss.2019.8900149

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