将土地类型的时空共同演化模式与细胞自动机相结合，提高土地利用预测的可靠性

IF 4.3 1区地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Geographical Information Science Pub Date : 2024-02-06 DOI:10.1080/13658816.2024.2314575

Zhanjun He, Xubin Wang, Xun Liang, Liang Wu, Jing Yao

引用次数: 0

摘要

土地利用和土地覆被变化（LUCC）模拟有助于解释各种情景下未来景观动态的原因和后果，进而支持政策决策...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Integrating spatiotemporal co-evolution patterns of land types with cellular automata to enhance the reliability of land use projections

Land use and land cover change (LUCC) simulation aids the interpretation of the causes and consequences of future landscape dynamics under various scenarios, which in turn supports policy decisions...

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来源期刊

International Journal of Geographical Information Science 地学-计算机：信息系统

CiteScore

11.00

自引率

7.00%

发文量

审稿时长

9 months

期刊介绍： International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.