当前位置:
X-MOL 学术
›
GISci. Remote Sens.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
An adaptive transition probability matrix with quality seeds for cellular automata models
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-05-03 , DOI: 10.1080/15481603.2024.2347719 Youcheng Song 1, 2 , Xu Hongtao 3 , Haijun Wang 1, 2 , Ziyang Zhu 2, 4 , Xinyi Kang 2, 4 , Xiaoxu Cao 1 , Zhang Bin 5 , Haoran Zeng 1
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-05-03 , DOI: 10.1080/15481603.2024.2347719 Youcheng Song 1, 2 , Xu Hongtao 3 , Haijun Wang 1, 2 , Ziyang Zhu 2, 4 , Xinyi Kang 2, 4 , Xiaoxu Cao 1 , Zhang Bin 5 , Haoran Zeng 1
Affiliation
The cellular automata (CA) model is the predominant method for predicting land use and land cover (LULC) changes. The accuracy of this model critically depends on well-defined transition rules, whi...
中文翻译:
用于元胞自动机模型的具有质量种子的自适应转移概率矩阵
元胞自动机 (CA) 模型是预测土地利用和土地覆盖 (LULC) 变化的主要方法。该模型的准确性关键取决于明确定义的转换规则,而......
更新日期:2024-05-03
中文翻译:
用于元胞自动机模型的具有质量种子的自适应转移概率矩阵
元胞自动机 (CA) 模型是预测土地利用和土地覆盖 (LULC) 变化的主要方法。该模型的准确性关键取决于明确定义的转换规则,而......