Local asymmetry in spatial interactions: A generalized slide-vector approach

Fuente: arXiv
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Main Authors: Liu, Bin, Gong, Zhaoya, Thill, Jean-Claude
Format: Preprint
Published: 2025
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author Liu, Bin
Gong, Zhaoya
Thill, Jean-Claude
author_facet Liu, Bin
Gong, Zhaoya
Thill, Jean-Claude
contents The conceptualization of space is crucial for comprehending the processes that shape geographic phenomena. Functional space exhibits asymmetric spatial separations, which deviate from the symmetry axiom of metric space commonly adopted as a representation of the geographical space. However, existing literature has paid scant attention to the issue of asymmetry of spatial separation. Technically, spatial models and analysis methods grounded in a Euclidean representation of the geographical space have their capability to handle the functional space of geographical phenomena restricted by the inherency of the symmetry axiom. In this study, we aim at differentiating and characterizing the spatial dependency and heterogeneity of asymmetric spatial separations. Specifically, we propose a local slide-vector model based on spatially constrained multi-dimensional unfolding. The model takes account of spatial dependency and heterogeneity of asymmetry and can capture local asymmetric structures of spatial separations. Furthermore, we examine the dynamics of local asymmetric structures and introduce a potential field method to infer inter-regional asymmetries. To demonstrate the validity of our approach, we apply it to study the spatial separations derived from U.S. interstate migration data. Our approach sheds light on the distortion of geographic space from the perspective of migrants' relocation preferences and improves the understanding of domestic human migration patterns.
format Preprint
id arxiv_https___arxiv_org_abs_2509_01131
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Local asymmetry in spatial interactions: A generalized slide-vector approach
Liu, Bin
Gong, Zhaoya
Thill, Jean-Claude
Physics and Society
The conceptualization of space is crucial for comprehending the processes that shape geographic phenomena. Functional space exhibits asymmetric spatial separations, which deviate from the symmetry axiom of metric space commonly adopted as a representation of the geographical space. However, existing literature has paid scant attention to the issue of asymmetry of spatial separation. Technically, spatial models and analysis methods grounded in a Euclidean representation of the geographical space have their capability to handle the functional space of geographical phenomena restricted by the inherency of the symmetry axiom. In this study, we aim at differentiating and characterizing the spatial dependency and heterogeneity of asymmetric spatial separations. Specifically, we propose a local slide-vector model based on spatially constrained multi-dimensional unfolding. The model takes account of spatial dependency and heterogeneity of asymmetry and can capture local asymmetric structures of spatial separations. Furthermore, we examine the dynamics of local asymmetric structures and introduce a potential field method to infer inter-regional asymmetries. To demonstrate the validity of our approach, we apply it to study the spatial separations derived from U.S. interstate migration data. Our approach sheds light on the distortion of geographic space from the perspective of migrants' relocation preferences and improves the understanding of domestic human migration patterns.
title Local asymmetry in spatial interactions: A generalized slide-vector approach
topic Physics and Society
url https://arxiv.org/abs/2509.01131