Interaction between Development Intensity: An Evaluation of Alternative Spatial Weight Matrices

IF 2.1 Q3 ENVIRONMENTAL SCIENCES Urban science (Basel, Switzerland) Pub Date : 2023-02-09 DOI:10.3390/urbansci7010022
Manman Li, Mengying Cui, David Levinson
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引用次数: 1

Abstract

This paper investigates the spatial dependency of job and worker densities for the Minneapolis–St. Paul (Twin Cities) metropolitan area using census block level data from 2002 to 2017. A spatial weight matrix is proposed, considering the statistical expression of data, referred to as the correlation matrix, which detects the variations of dependencies among spatial units in both direction and level. The superior performance of the correlation matrix is demonstrated through a series of spatial regression models to predict land use patterns, in comparison with the conventionally used adjacency matrix as well as the accessibility matrix.
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发展强度之间的相互作用:替代空间权重矩阵的评估
本文研究了明尼阿波利斯-圣。Paul(双子城)大都市地区使用2002年至2017年人口普查区块级数据。考虑到数据的统计表达式,提出了一种空间权重矩阵,称为相关矩阵,用于检测空间单元之间在方向和水平上的相关性变化。与传统使用的邻接矩阵和可达性矩阵相比,通过一系列空间回归模型来预测土地利用模式,证明了相关矩阵的优越性能。
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
CiteScore
4.30
自引率
0.00%
发文量
0
审稿时长
11 weeks
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