Enhancing transparency in land use change modeling: Leveraging eXplainable AI techniques for urban growth prediction with spatially distributed insights.
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| Title: | Enhancing transparency in land use change modeling: Leveraging eXplainable AI techniques for urban growth prediction with spatially distributed insights. |
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| Authors: | Wang, Zelin1, zwang51@gmu.edu, Feng, Tianshu2, tfeng@gmu.edu, Safikhani, Abolfazl1, asafikha@gmu.edu, Tepe, Emre1,3, emretepe@ufl.edu |
| Source: | Computers, Environment & Urban Systems; Oct2025, Vol. 121, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 01989715 |
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| DOI: | 10.1016/j.compenvurbsys.2025.102322 |
