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Rohov (německy Rohow, polsky Rogów) je obec v okrese Opava v Moravskoslezském kraji. Obec se nečlení na části a má jediné katastrální území. Žije zde 600 obyvatel.
The analysis highlights Historie, Obecní správa and Pamětihodnosti as prominent areas in the source structure around Rohov.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Rohov shows recurring relationship patterns in the source. For example, Rohov → Duchovní, Kobeřice, Mezi, SK VEHA TEAM, Sportovní, Sudice, TJ Spartak Rohov Another extracted example is Rohov → Dům, Komárkůobecní, Pavla, Petra, Příroda, Rohova. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
obec obce opava hlavní počet commons slezsko česko části katastrální území 600 obyvatel obci čp okrese zde ulice rohově 50
TTTA extracted 52 structured relationships around Rohov. Examples in this analysis include Rohov → Adresa obecního úřadu → Hlavní 180 Rohov 747 25 Sudice [email protected] and Rohov → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Rohov | Adresa obecního úřadu | Hlavní 180 Rohov 747 25 Sudice [email protected] | 1.00 | infobox |
| Rohov | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Rohov | Historická země | Slezsko (do r. 1920 též pruské Slezsko) | 1.00 | infobox |
| Rohov | Katastrální území | Rohov | 1.00 | infobox |
| Rohov | Kraj | Moravskoslezský | 1.00 | infobox |
| Rohov | Kód obce | 568376 | 1.00 | infobox |
| Rohov | Kód části obce | 140431 | 1.00 | infobox |
| Rohov | Nadmořská výška | 239 m n. m. | 1.00 | infobox |
| Rohov | Obec s rozšířenou působností | Kravaře (správní obvod) | 1.00 | infobox |
| Rohov | Oficiální web | www.rohov.cz | 1.00 | infobox |
| Rohov | Okres | Opava | 1.00 | infobox |
| Rohov | Pověřená obec | Kravaře | 1.00 | infobox |
| Rohov | Počet domů | 166 (2021) | 1.00 | infobox |
| Rohov | Počet k. ú. | 1 | 1.00 | infobox |
| Rohov | Počet obyvatel | 600 (2025) | 1.00 | infobox |
| Rohov | Počet ZSJ | 1 | 1.00 | infobox |
| Rohov | Počet částí obce | 1 | 1.00 | infobox |
| Rohov | PSČ | 747 25 | 1.00 | infobox |
| Rohov | Rozloha | 6,64 km² | 1.00 | infobox |
| Rohov | Starosta | Roman Šušolík | 1.00 | infobox |
| Rohov | Status | obec | 1.00 | infobox |
| Rohov | Stát | Česko Česko | 1.00 | infobox |
| Rohov | Zeměpisné souřadnice | 50°0′56″ s. š., 18°4′17″ v. d. | 1.00 | infobox |
The concept neighborhoods around Rohov bring nearby vocabulary together. In this analysis, examples include Commons, Infoboxu and Oficiální. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Rohov, one of the stronger structural bridges in this analysis connects Rohov 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.
TTTA analyzes the structure around Rohov to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Obecní správa & Pamětihodnosti, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Rohov · CS edition · Analysis: TopicsToTalkAbout