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Obec Čaková (německy Friedersdorf, polsky Czakowa) se nachází v okrese Bruntál v Moravskoslezském kraji. Žije zde 340 obyvatel.
The analysis highlights Poloha, Historie and Pamětihodnosti as prominent areas in the source structure around Čaková.
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 Čaková shows recurring relationship patterns in the source. For example, Čaková → Branticemi, Brantická, Bruntál, Geomorfologicky, Jakubčovický, Jesenické, Krasovem, Krkonošsko-jesenické, Kunovem, Nejvyšší, Nivou, Nových Heřminov, Novými Heřminovy, Nízký Jeseník, Obec, Od, Ostrava, Skalka, Střelná, Sudetské Another extracted example is Čaková → Frieder, Friedersdorf, Friedrich, Friedrova, Od, Teprve, Vesnice, Význam. 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.
obce obec obyvatel počet bruntál 17 území čakové nachází louky 50 32 commons českým opavy česko 340 např protéká potok
TTTA extracted 68 structured relationships around Čaková. Examples in this analysis include Čaková → Adresa obecního úřadu → Čaková 101 793 16 Zátor [email protected] and Čaková → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Čaková | Adresa obecního úřadu | Čaková 101 793 16 Zátor [email protected] | 1.00 | infobox |
| Čaková | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Čaková | Historická země | Slezsko | 1.00 | infobox |
| Čaková | Katastrální území | Čaková | 1.00 | infobox |
| Čaková | Kraj | Moravskoslezský | 1.00 | infobox |
| Čaková | Kód obce | 552003 | 1.00 | infobox |
| Čaková | Kód části obce | 18309 | 1.00 | infobox |
| Čaková | Nadmořská výška | 515 m n. m. | 1.00 | infobox |
| Čaková | Obec s rozšířenou působností | Krnov (správní obvod) | 1.00 | infobox |
| Čaková | Oficiální web | www.cakova.cz | 1.00 | infobox |
| Čaková | Okres | Bruntál | 1.00 | infobox |
| Čaková | Pověřená obec | Krnov | 1.00 | infobox |
| Čaková | Počet domů | 111 (2021) | 1.00 | infobox |
| Čaková | Počet k. ú. | 1 | 1.00 | infobox |
| Čaková | Počet obyvatel | 340 (2025) | 1.00 | infobox |
| Čaková | Počet ZSJ | 1 | 1.00 | infobox |
| Čaková | Počet částí obce | 1 | 1.00 | infobox |
| Čaková | PSČ | 793 16 | 1.00 | infobox |
| Čaková | Rozloha | 11,93 km² | 1.00 | infobox |
| Čaková | Starosta | Petr Náhlý | 1.00 | infobox |
| Čaková | Status | obec | 1.00 | infobox |
| Čaková | Stát | Česko Česko | 1.00 | infobox |
| Čaková | Zeměpisné souřadnice | 50°3′ s. š., 17°32′54″ v. d. | 1.00 | infobox |
The concept neighborhoods around Čaková bring nearby vocabulary together. In this analysis, examples include Sídlům, Českým and Čp. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Čaková, one of the stronger structural bridges in this analysis connects Čaková with Poloha. 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 Čaková to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Poloha, Historie & Pamětihodnosti, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Čaková · CS edition · Analysis: TopicsToTalkAbout