{
  "id": 15781974,
  "title": "geoGraph: Connectivity modelling across geographic space with hexagonal discrete global grids",
  "url": "https://urgent.news/2026/10/20/geograph-connectivity-modelling-across-geographic-space-with",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-20T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.14.759071v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "1. Estimating the movement and connectivity of organisms across landscapes is central to research in ecology and evolutionary biology. Although graph-based approaches representing geographic space as weighted networks provide a flexible and computationally efficient framework for such analyses, existing tools either perform their computations only on rectangular raster grids, thus introducing…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}