关于忽略空间自相关性中的异质性：后果与解决方案

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

International Journal of Geographical Information Science Pub Date : 2024-08-20 DOI:10.1080/13658816.2024.2391981

Zehua Zhang, Ziqi Li, Yongze Song

引用次数: 0

摘要

空间自回归（SAR）模型通常用于明确解释地理现象背后的空间依赖性。然而，传统的 SAR 模型是使用单一的 SAR 模型来指定的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

On ignoring the heterogeneity in spatial autocorrelation: consequences and solutions

Spatial autoregressive (SAR) models are often used to explicitly account for the spatial dependence underlying geographic phenomena. However, traditional SAR models are specified using a single SAR...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

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.