Dépôt numérique

spNetwork: A Package for Network Kernel Density Estimation

Gelb, Jérémy ORCID: https://orcid.org/0000-0002-7114-2714 (2021). spNetwork: A Package for Network Kernel Density Estimation R journal , vol. 13 , nº 2. p. 561-577. DOI: 10.32614/RJ-2021-102.

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This paper introduces the new package spNetwork that provides functions to perform Network Kernel Density Estimate analysis (NKDE). This method is an extension of the classical Kernel Density Estimate (KDE), a non parametric approach to estimate the intensity of a spatial process. More specifically, it adapts the KDE for cases when the study area is a network, constraining the location of events (such as accidents on roads, leaks in pipes, fish in rivers, etc.). We present and discuss in this paper the three main versions of NKDE: simple, discontinuous, and continuous that are implemented in spNetwork. We illustrate how to apply the three methods and map their results using a sample from a real dataset representing bike accidents in a central neighborhood of Montreal. We also describe the optimization techniques used to reduce calculation time and investigate their impacts when applying the three NKDE to a city-wide dataset.

Type de document: Article
Mots-clés libres: Network Kernel Density Estimate analysis (NKDE); analyse de l'estimation de la densité du noyau du réseau
Centre: Centre Urbanisation Culture Société
Date de dépôt: 14 juill. 2022 18:52
Dernière modification: 14 juill. 2022 18:52
URI: https://espace.inrs.ca/id/eprint/12599

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