English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We introduce the notion of intensity reweighted moment pseudostationary pointprocesses on linear networks. Based on arbitrary general regular linear networkdistances, we propose geometrically corrected versions of differenthigher-order summary statistics, including the inhomogeneous empty spacefunction, the inhomogeneous nearest neighbour distance distribution functionand the inhomogeneous $J$-function. We also discuss their non-parametricestimators. Through a simulation study, considering models with different typesof spatial interaction, we study the performance of our proposed summarystatistics. Finally, we make use of our methodology to analyse two datasets:motor vehicle traffic accidents and spider data.

Inhomogeneous higher-order summary statistics for linear network point processes