We employ the Local Indicators of Spatio-Temporal Association (LISTA) functions on linear networks to build a statistical test for local second-order structure. This allows to identify differences in the spatio-temporal clustering behaviour of two point patterns, a point pattern of interest and a background one, both occurring on the same linear network. We illustrate the proposed methodology analysing a traffic-related problem.

Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu (2022). Comparing local structures of spatio-temporal point processes on linear networks. In Book of short papers - SIS 2022.

Comparing local structures of spatio-temporal point processes on linear networks

Nicoletta D'Angelo
;
Giada Adelfio;Jorge Mateu
2022-01-01

Abstract

We employ the Local Indicators of Spatio-Temporal Association (LISTA) functions on linear networks to build a statistical test for local second-order structure. This allows to identify differences in the spatio-temporal clustering behaviour of two point patterns, a point pattern of interest and a background one, both occurring on the same linear network. We illustrate the proposed methodology analysing a traffic-related problem.
2022
9788891932310
Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu (2022). Comparing local structures of spatio-temporal point processes on linear networks. In Book of short papers - SIS 2022.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/558957
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