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Matanzas je přístavní město na Kubě, ležící asi 100 km východně od Havany na pobřeží Floridského průlivu. Má okolo 150 000 obyvatel a je hlavním městem stejnojmenné provincie. Protékají jím řeky Yumurí, San Juan a Canímar, má proto přezdívku město mostů nebo kubánské Benátky.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Matanzas.
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 Matanzas shows recurring relationship patterns in the source. For example, Matanzas → Ecured Archivováno, Obrázky, Wayback Machine, Wikimedia CommonsStránky Another extracted example is Matanzas → 495,1 obyv./km². 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.
město commons juan kubánské roku místní zde kuba obyvatel provincie 23 81 34 31 datové položky wikimedia kubě havany yumurí
TTTA extracted 15 structured relationships around Matanzas. Examples in this analysis include Matanzas → Hustota zalidnění → 495,1 obyv./km² and Matanzas → Nadmořská výška → 20 m n. m.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Matanzas | Hustota zalidnění | 495,1 obyv./km² | 1.00 | infobox |
| Matanzas | Nadmořská výška | 20 m n. m. | 1.00 | infobox |
| Matanzas | Oficiální web | www.matanzascity.org | 1.00 | infobox |
| Matanzas | Počet obyvatel | 156 952 (2015 odhad) | 1.00 | infobox |
| Matanzas | provincie | Matanzas | 1.00 | infobox |
| Matanzas | PSČ | 40100 | 1.00 | infobox |
| Matanzas | Rozloha | 317 km² | 1.00 | infobox |
| Matanzas | Souřadnice | 23°3′4″ s. š., 81°34′31″ z. d. | 1.00 | infobox |
| Matanzas | Stát | Kuba Kuba | 1.00 | infobox |
| Matanzas | Telefonní předvolba | 52 | 1.00 | infobox |
| Matanzas | Vznik | 1635 | 1.00 | infobox |
| Matanzas | related to Externí odkazy | Obrázky | 0.60 | section |
The concept neighborhoods around Matanzas bring nearby vocabulary together. In this analysis, examples include Commons, Datové and Floridského. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Matanzas, one of the stronger structural bridges in this analysis connects Matanzas 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 Matanzas to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Matanzas · CS edition · Analysis: TopicsToTalkAbout