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Bottrop je město v západní části Severního Porýní-Vestfálska v Německu. Nachází se v průmyslové oblasti Porúří. Sousedí s městy a obcemi Essen, Oberhausen, Gladbeck a Dorsten. Žije zde přibližně 119 tisíc obyvatel.
The analysis highlights Partnerská města, Osobnosti města and Overview as prominent areas in the source structure around Bottrop.
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 Bottrop shows recurring relationship patterns in the source. For example, Bottrop → FacebookuBottrop, Flickeru, InstagramuBottrop, Obrázky, Wikimedia CommonsBottrop, YouTubeBottrop Another extracted example is Bottrop → Bottrop-Kirchhellen, Dickmann, Movie Park Germany, Schloss Beck, Tetraeder. 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.
31 německo commons obyvatel části znak vlajka 51 24 55 datové položky wikimedia německu porúří essen oberhausen gladbeck dorsten město
TTTA extracted 24 structured relationships around Bottrop. Examples in this analysis include Bottrop → Hustota zalidnění → 1 178,8 obyv./km² and Bottrop → Nadmořská výška → 60 m n. m.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Bottrop | Hustota zalidnění | 1 178,8 obyv./km² | 1.00 | infobox |
| Bottrop | Nadmořská výška | 60 m n. m. | 1.00 | infobox |
| Bottrop | Oficiální web | www.bottrop.de | 1.00 | infobox |
| Bottrop | Označení vozidel | BOT | 1.00 | infobox |
| Bottrop | Počet obyvatel | 118 705 (2023) | 1.00 | infobox |
| Bottrop | PSČ | 46236–46244 | 1.00 | infobox |
| Bottrop | Rozloha | 100,7 km² | 1.00 | infobox |
| Bottrop | Souřadnice | 51°31′24″ s. š., 6°55′31″ v. d. | 1.00 | infobox |
| Bottrop | Spolková země | Severní Porýní-Vestfálsko | 1.00 | infobox |
| Bottrop | Starosta | Bernd Tischler (SPD) | 1.00 | infobox |
| Bottrop | Stát | Německo Německo | 1.00 | infobox |
| Bottrop | Telefonní předvolba | 02041, 02045 | 1.00 | infobox |
| Bottrop | Vládní obvod | Münster | 1.00 | infobox |
The concept neighborhoods around Bottrop bring nearby vocabulary together. In this analysis, examples include Části, Commons and Datové. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Bottrop, one of the stronger structural bridges in this analysis connects Bottrop with Partnerská města. 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 Bottrop to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Partnerská města, Osobnosti města & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Bottrop · CS edition · Analysis: TopicsToTalkAbout