Clustering of OpenStreetMap-mapped cafés relative to population density in Jeddah

Inhomogeneous Ripley's K/L with WorldPop-based intensity, Monte Carlo envelopes and Getis-Ord Gi* on H3 hexagons for OSM cafés in Jeddah, with an assessment of OSM coverage against public benchmarks.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23915596
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
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article

Clustering of OpenStreetMap-mapped cafés relative to population density in Jeddah

Amir Khan
Zenodo (CERN European Organization for Nuclear Research)
Geographic Information Systems Studies
article

Clustering of OpenStreetMap-mapped cafés relative to population density in Jeddah

Amir Khan
article en

Abstract

Inhomogeneous Ripley's K/L with WorldPop-based intensity, Monte Carlo envelopes and Getis-Ord Gi* on H3 hexagons for OSM cafés in Jeddah, with an assessment of OSM coverage against public benchmarks.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Geographic Information Systems Studies
DOIOpen Access PDFOpenAlex
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Clustering of OpenStreetMap-mapped cafés relative to population density in Jeddah — Amir Khan · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS