A parallel framework on hybrid architectures for raster-based geospatial cellular automata models

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

International Journal of Geographical Information Science Pub Date : 2024-04-22 DOI:10.1080/13658816.2024.2343776

Huan Gao, Zhewei Liang, Qingfeng Guan, Xun Liang, Wen Zeng

引用次数: 0

Abstract

Geospatial cellular automata (Geo-CA) models have encountered challenges in computing efficiency and scalability when conducting large-scale land use change simulation applications. Parallel comput...

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基于光栅的地理空间蜂窝自动机模型的混合架构并行框架

在进行大规模土地利用变化模拟应用时，地理空间单元自动机（Geo-CA）模型在计算效率和可扩展性方面遇到了挑战。并行计算...

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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.