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Publication : international journal of geographical information science

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Academic Journal

Unsupervised land-use change detection using multi-temporal POI embedding.

Authors : Yao, Yao^1,2,3 (AUTHOR); Zhu, Qia¹ (AUTHOR); Guo, Zijin¹ (AUTHOR)

Source: International Journal of Geographical Information Science. Nov2023, Vol. 37 Issue 11, p2392-2415. 24p.

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Academic Journal

A probabilistic framework with the gradient-based method for multi-objective land use optimization.

Authors : Luo, Haowen¹ (AUTHOR); Huang, Bo^1,2,3 (AUTHOR)

Source: International Journal of Geographical Information Science. May2023, Vol. 37 Issue 5, p1128-1156. 29p.

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Academic Journal

Children's walking to urban services: an analysis of pedestrian access to social infrastructures and its relationship with land use.

Authors : No, Wonjun¹ (AUTHOR); Choi, Junyong¹ (AUTHOR); Kim, Youngchul¹ (AUTHOR)

Source: International Journal of Geographical Information Science. Jan2023, Vol. 37 Issue 1, p189-214. 26p.

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Academic Journal

Spatiotemporal graph-based analysis of land cover evolution using remote sensing time series data.

Authors : Zou, Xinyu¹ (AUTHOR); Liu, Xiangnan¹ (AUTHOR); Liu, Meiling¹ (AUTHOR)

Source: International Journal of Geographical Information Science. May2023, Vol. 37 Issue 5, p1009-1040. 32p.

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Academic Journal

Updating and backdating analyses for mitigating uncertainties in land change modeling: a case study of the Ci Kapundung upper water catchment area, Java Island, Indonesia.

Authors : Rani, Medria Shekar¹ (AUTHOR) ; Cameron, Ross² (AUTHOR); Schroth, Olaf³ (AUTHOR)

Source: International Journal of Geographical Information Science. Dec2022, Vol. 36 Issue 12, p2549-2562. 14p.

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Academic Journal

Deep convolutional autoencoder for urban land use classification using mobile device data.

Authors : Sun, Zhihao¹ (AUTHOR); Peng, Zhenghong² (AUTHOR); Yu, Yang¹ (AUTHOR)

Source: International Journal of Geographical Information Science. Nov2022, Vol. 36 Issue 11, p2138-2168. 31p.

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Academic Journal

A graph-based framework to integrate semantic object/land-use relationships for urban land-use mapping with case studies of Chinese cities.

Authors : Su, Yu¹ (AUTHOR); Zhong, Yanfei^1,2 (AUTHOR); Liu, Yinhe¹ (AUTHOR)

Source: International Journal of Geographical Information Science. Jul2023, Vol. 37 Issue 7, p1582-1614. 33p.

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Academic Journal

A mathematical programming approach for downscaling multi-layered multi-constraint land-use models.

Authors : Ramos, Rafael G.¹ (AUTHOR); Scarabello, Marluce da Cruz¹ (AUTHOR); Costa, Wanderson¹ (AUTHOR)

Source: International Journal of Geographical Information Science. Sep2023, Vol. 37 Issue 9, p2020-2042. 23p.

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Academic Journal

A comparison of a gradient boosting decision tree, random forests, and artificial neural networks to model urban land use changes: the case of the Seoul metropolitan area.

Authors : Jun, Myung-Jin¹ (AUTHOR)

Source: International Journal of Geographical Information Science. Nov 2021, Vol. 35 Issue 11, p2149-2167. 19p.

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Academic Journal

The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types.

Authors : Zhang, Jinbao¹ (AUTHOR); Li, Xia² (AUTHOR) ; Yao, Yao³ (AUTHOR)

Source: International Journal of Geographical Information Science. Jan2021, Vol. 35 Issue 1, p193-211. 19p.

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نتائج البحث

فلترة النتائج

Unsupervised land-use change detection using multi-temporal POI embedding.

A probabilistic framework with the gradient-based method for multi-objective land use optimization.

Children's walking to urban services: an analysis of pedestrian access to social infrastructures and its relationship with land use.

Spatiotemporal graph-based analysis of land cover evolution using remote sensing time series data.

Updating and backdating analyses for mitigating uncertainties in land change modeling: a case study of the Ci Kapundung upper water catchment area, Java Island, Indonesia.

Deep convolutional autoencoder for urban land use classification using mobile device data.

A graph-based framework to integrate semantic object/land-use relationships for urban land-use mapping with case studies of Chinese cities.

A mathematical programming approach for downscaling multi-layered multi-constraint land-use models.

A comparison of a gradient boosting decision tree, random forests, and artificial neural networks to model urban land use changes: the case of the Seoul metropolitan area.

The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types.

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