{
  "abstract": "This case study compares generalized linear models, generalized additive models, and semi-structured deep distributional regression for analyzing settlement patterns in historical land-cover maps. Using four reference years for Donau-Ries county (Landkreis Donau-Ries) in southern Germany, we quantify how distances to agricultural areas, forests, and rivers relate to residential presence, and we evaluate predictive performance through spatial block cross-validation. Classical models yield stable and interpretable distance effects, whereas the semi-structured framework improves prediction once local image context is included. The analysis illustrates a practical trade-off between interpretability, accuracy, and robustness when interpretable covariates are combined with deep components in spatio-temporal data analysis.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.40513",
  "author_total": 4,
  "authors": [
    {
      "name": "Mireille Fangueng"
    },
    {
      "name": "Frank Thiemann"
    },
    {
      "name": "Monika Sester"
    },
    {
      "name": "Philipp Otto"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/12b7718hkv6hz.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.40513",
  "fulltext_url": null,
  "id": "12b7718hkv6hz",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.40513",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "stat.AP"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2610.40513",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-29",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/12b7718hkv6hz.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:36:41Z",
      "native_id": "2610.40513",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.40513"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:stat.AP",
      "subfield": "statistics"
    }
  ],
  "title": "A case study of hybrid statistical models for analyzing spatio-temporal effects in historical map series of Donau-Ries county",
  "title_text": "A case study of hybrid statistical models for analyzing spatio-temporal effects in historical map series of Donau-Ries county",
  "type": "preprint",
  "updated_at": "2026-11-01T12:21:00Z",
  "url": "https://research.draconitic.com/paper/12b7718hkv6hz",
  "venue": "arXiv",
  "versions": []
}