Geocomplexity explains spatial errors

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

International Journal of Geographical Information Science Pub Date : 2023-04-20 DOI:10.1080/13658816.2023.2203212

Zehua Zhang, Yong-Soo Song, Peng Luo, Peng Wu

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引用次数: 1

Abstract

Abstract The explanation of spatial errors in geospatial modelling has long been a challenge. This study introduces an index that captures the complexity of local spatial distribution, which can partially provide insight into spatial errors. While previous studies have explored the complexity of geographical data from various perspectives, there is limited knowledge on assessing the complexity while taking spatial dependence into account. This study proposes a measure of geocomplexity, i.e. the spatial local complexity indicator, which characterizes the complexity of local spatial patterns while considering spatial neighbor dependence. We used both aspatial and spatial models to estimate the economic inequality in Australia, and applied the spatial local complexity indicator to explain spatial errors in these models. Results show that the developed geocomplexity indicator, using a binary spatial matrix, can effectively explain spatial errors arising from models, including 17%-47% of errors in aspatial models and 14% in a spatial model. The experiments in this study support our hypothesis that geocomplexity is an essential component in explaining spatial errors. The proposed geocomplexity indicator, along with our hypothesis, has the potential for advancing the understanding complex geospatial systems and enabling applications in various fields related to spatial data analysis.

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地质复杂性解释了空间误差

摘要地理空间建模中空间误差的解释一直是一个挑战。本研究引入了一个捕捉局部空间分布复杂性的指数，该指数可以部分提供对空间误差的洞察。虽然以前的研究从各个角度探讨了地理数据的复杂性，但在考虑空间依赖性的情况下评估复杂性的知识有限。本研究提出了一种测量地理复杂性的方法，即空间局部复杂性指标，该指标在考虑空间邻居依赖性的同时表征局部空间模式的复杂性。我们使用空间和空间模型来估计澳大利亚的经济不平等，并应用空间局部复杂性指标来解释这些模型中的空间误差。结果表明，所开发的地理复杂性指标使用二进制空间矩阵，可以有效地解释模型产生的空间误差，包括空间模型中17%至47%的误差和空间模型中14%的误差。本研究中的实验支持了我们的假设，即地理复杂性是解释空间误差的重要组成部分。所提出的地理复杂性指标，以及我们的假设，有可能促进对复杂地理空间系统的理解，并使其能够应用于与空间数据分析相关的各个领域。

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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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.