Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Čan-ťiang (čínsky 湛江, pchin-jin: Zhànjiāng) je městská prefektura v Čínské lidové republice. Leží v jihozápadní části provincie Kuang-tung naproti Chaj-nanu, samotné město leží na východním pobřeží poloostrova Lej-čou. Celá prefektura má rozlohu 12 490 čtverečních kilometrů a v roce 2010 v ní žilo bezmála sedm miliónů obyvatel.
The analysis highlights Partnerská města, Historie and Administrativní členění as prominent areas in the source structure around Čan-ťiang.
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 Čan-ťiang shows recurring relationship patterns in the source. For example, Čan-ťiang → Britům Nová, Charles, Francii, Francouzi, Francouzské Indočíny, Gaulle, Hongkongu, Japonci, Kuang-čou-wan, Na, Následující, Němcům Another extracted example is Čan-ťiang → Obrázky, Wikimedia Commons. 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.
12 prefektura kuang-tung roce commons provincie čína 490 2010 obyvatel francouzi městská 21 110 24 datové položky zhanjiang wikimedia pchin-jin
TTTA extracted 25 structured relationships around Čan-ťiang. Examples in this analysis include Čan-ťiang → Hustota zalidnění → 559,9 obyv./km² and Čan-ťiang → Oficiální web → www.zhanjiang.gov.cn. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Čan-ťiang | Hustota zalidnění | 559,9 obyv./km² | 1.00 | infobox |
| Čan-ťiang | Oficiální web | www.zhanjiang.gov.cn | 1.00 | infobox |
| Čan-ťiang | Počet obyvatel | 6 993 304 (2010) | 1.00 | infobox |
| Čan-ťiang | provincie | Kuang-tung | 1.00 | infobox |
| Čan-ťiang | PSČ | 524000 | 1.00 | infobox |
| Čan-ťiang | Rozloha | 12 490 km² | 1.00 | infobox |
| Čan-ťiang | Souřadnice | 21°12′ s. š., 110°24′ v. d. | 1.00 | infobox |
| Čan-ťiang | Stát | Čína Čína | 1.00 | infobox |
| Čan-ťiang | Telefonní předvolba | 759 | 1.00 | infobox |
| Čan-ťiang | Časové pásmo | UTC+8 | 1.00 | infobox |
| Čan-ťiang | related to Administrativní členění | Městská | 0.60 | section |
| Čan-ťiang | related to Externí odkazy | Obrázky | 0.60 | section |
The concept neighborhoods around Čan-ťiang bring nearby vocabulary together. In this analysis, examples include Commons, Městská and Wikimedia. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Čan-ťiang, one of the stronger structural bridges in this analysis connects Čan-ťiang 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 Čan-ťiang to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Partnerská města, Historie & Administrativní členění, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Čan-ťiang · CS edition · Analysis: TopicsToTalkAbout