Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Stod (německy Staab) je město v okrese Plzeň-jih v Plzeňském kraji. Rozkládá se v údolí řeky Radbuzy dvacet kilometrů jihozápadně od Plzně. Součástí města je vesnice Lelov. Žije zde přibližně 3 600 obyvatel.
The analysis highlights Historie, Overview and Slavní rodáci as prominent areas in the source structure around Stod.
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 Stod shows recurring relationship patterns in the source. For example, Stod → Furth, I/26, II/182, II/230, Město, Plzeň, Vede, Wald Another extracted example is Stod → Chotěšově, Karla IV, Král Jan Lucemburský, Pracovalo, První, Radbuzy, Stodě, Václav. 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.
obyvatel město města ves kostel městě česko počet stodě zde commons plzeň-jih radbuzy lelov líšina kotovice roku městem řeky součástí
TTTA extracted 65 structured relationships around Stod. Examples in this analysis include Stod → Adresa městského úřadu → náměstí ČSA 294 333 01 Stod [email protected] and Stod → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Stod | Adresa městského úřadu | náměstí ČSA 294 333 01 Stod [email protected] | 1.00 | infobox |
| Stod | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Stod | Historická země | Čechy | 1.00 | infobox |
| Stod | Kraj | Plzeňský | 1.00 | infobox |
| Stod | Kód obce | 558389 | 1.00 | infobox |
| Stod | Nadmořská výška | 337 m n. m. | 1.00 | infobox |
| Stod | Obec s rozšířenou působností | Stod (správní obvod) | 1.00 | infobox |
| Stod | Oficiální web | www.mestostod.cz | 1.00 | infobox |
| Stod | Okres | Plzeň-jih | 1.00 | infobox |
| Stod | Pověřená obec | Stod | 1.00 | infobox |
| Stod | Počet domů | 817 (2024) | 1.00 | infobox |
| Stod | Počet k. ú. | 2 | 1.00 | infobox |
| Stod | Počet obyvatel | 3 646 (2025) | 1.00 | infobox |
| Stod | Počet ZSJ | 2 | 1.00 | infobox |
| Stod | Počet částí obce | 2 | 1.00 | infobox |
| Stod | PSČ | 333 01 | 1.00 | infobox |
| Stod | Rozloha | 20,04 km² | 1.00 | infobox |
| Stod | Starosta | Jiří Vlk | 1.00 | infobox |
| Stod | Status | město | 1.00 | infobox |
| Stod | Stát | Česko Česko | 1.00 | infobox |
| Stod | Zeměpisné souřadnice | 49°38′21″ s. š., 13°9′53″ v. d. | 1.00 | infobox |
The concept neighborhoods around Stod bring nearby vocabulary together. In this analysis, examples include Commons, Infoboxu and Působností. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Stod, one of the stronger structural bridges in this analysis connects Stod 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 Stod to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Overview & Slavní rodáci, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Stod · CS edition · Analysis: TopicsToTalkAbout