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Rogaland: Obce & Overview

Rogaland Fylke je územněsprávní jednotka v jihozápadním Norsku. Správním centrem území je město Stavanger. Správcem kraje Rogaland je Fylkesmann i Rogaland. Počet obyvatel dosáhl roku 2015 čísla 466 302. Rozloha kraje je 9376 km².

Language: Czech [CS]
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Rogaland topic overview

The analysis highlights Obce and Overview as prominent areas in the source structure around Rogaland.

Related topics
22
Source areas
2
Connected nodes
24
Extracted relationships
13
Related term clusters
9
Bridge connections
24

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 15 topics
Obce · 7 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Fylkesmann
Magnhild Meltveit Kleppa
Fylkesordfører
Solveig Ege Tengesdal
Geodata (OSM)
OSM, WMF
Hlavní město
Stavanger
Hustota zalidnění
53,3 obyv./km²
ISO 3166-2
NO-11

Tematické okruhy

Prozkoumejte skupiny témat propojených ve zdrojovém textu. Vyberte si libovolné téma; okruhy nemají určené pořadí.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Obce

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Rogaland connects Entity context

The extracted context around Rogaland shows recurring relationship patterns in the source. For example, Rogaland → Magnhild Meltveit Kleppa Another extracted example is Rogaland → Solveig Ege Tengesdal. Use these groups to spot repeated connection types before inspecting the individual relationships.

Rogaland

Top relations

Fylkesmann · 1
Rogaland → Magnhild Meltveit Kleppa
Fylkesordfører · 1
Rogaland → Solveig Ege Tengesdal
Geodata (OSM) · 1
Rogaland → OSM, WMF
Hlavní město · 1
Rogaland → Stavanger
Hustota zalidnění · 1
Rogaland → 53,3 obyv./km²
ISO 3166-2 · 1
Rogaland → NO-11
Oficiální web · 1
Rogaland → www.rogfk.no
Podřízené celky · 1
Rogaland → 23 obcí
Počet obyvatel · 1
Rogaland → 499 417 (2024)
Rozloha · 1
Rogaland → 9 377,1 km²

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

kraje karmøy město stavanger usedlost agder stavangeru commons území krajem severovýchodě leží jsou zčásti územím prochází rekonstruovaná obce norsko vindafjord

Rogaland relationships Subject–Predicate–Object triples

TTTA extracted 13 structured relationships around Rogaland. Examples in this analysis include Rogaland → Fylkesmann → Magnhild Meltveit Kleppa and Rogaland → Fylkesordfører → Solveig Ege Tengesdal. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
RogalandFylkesmannMagnhild Meltveit Kleppa1.00infobox
RogalandFylkesordførerSolveig Ege Tengesdal1.00infobox
RogalandGeodata (OSM)OSM, WMF1.00infobox
RogalandHlavní městoStavanger1.00infobox
RogalandHustota zalidnění53,3 obyv./km²1.00infobox
RogalandISO 3166-2NO-111.00infobox
RogalandOficiální webwww.rogfk.no1.00infobox
RogalandPodřízené celky23 obcí1.00infobox
RogalandPočet obyvatel499 417 (2024)1.00infobox
RogalandRozloha9 377,1 km²1.00infobox
RogalandSouřadnice58°58′12″ s. š., 5°42′36″ v. d.1.00infobox
RogalandStátNorsko Norsko1.00infobox
RogalandČasové pásmoUTC+01:001.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Rogaland bring nearby vocabulary together. In this analysis, examples include Mapě, Norska and Obrestad. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Rogaland
    • Mapě
    • Norska
    • Obrestad
    • Vindafjord
    • Vlajka
    • Znak
    • Stavanger
    • Commons
    • Norsko
    • Agder
    • Hjelmeland
    • Hlavní
  • rogaland
    • Mapě
    • Norska
    • Obrestad
    • Vindafjord
    • Vlajka
    • Znak
    • Stavanger
    • Commons
    • Norsko
    • Agder
    • Hjelmeland
    • Hlavní
  • hjelmeland
    • Sauda
    • Suldal
    • Commons
    • Norsko
    • Jsou
    • Km²
    • Leží
    • Mapě
    • Norska
    • Obce
    • Obrestad
    • Obyvatel
  • sauda
    • Hjelmeland
    • Suldal
    • Commons
    • Norsko
    • Jsou
    • Mapě
    • Norska
    • Obce
    • Obrestad
    • Počet
    • Rozloha
    • Severovýchodě
  • karmøy
    • Vikinská
    • Usedlost
    • Commons
    • Norsko
    • Km²
    • Mapě
    • Norska
    • Obrestad
    • Obyvatel
    • Počet
    • Rekonstruovaná
    • Rozloha
  • suldal
    • Commons
    • Norsko
    • Mapě
    • Norska
    • Obrestad
    • Počet
    • Rozloha
    • Vikinská
    • Vindafjord
    • Vlajka
    • Znak
    • Zčásti
  • obce
    • Hjelmeland
    • Hlavní
    • Mapě
    • Norska
    • Obrestad
    • Sauda
    • Severovýchodě
    • Suldal
    • Vlajka
    • Znak
    • Zčásti
    • Území
  • vindafjord
    • Vikinská
    • Vlajka
    • Znak

Connections between topic areas Semantic bridges

For Rogaland, one of the stronger structural bridges in this analysis connects Rogaland with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Rogaland — Overview · splits 9 ⟂ 16
Rogaland — Obce · splits 17 ⟂ 8

Map overview Semantic statistics

Rogaland

Nodes25
Edges24
Triples13
Avg. degree1.92
Density0.08
Components1

Source & methodology

TTTA analyzes the structure around Rogaland to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Obce & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Rogaland · CS edition · Analysis: TopicsToTalkAbout

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