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Lien-jün-kang (čínsky pchin-jinem Liányúngǎng, znaky 连云港) je městská prefektura v Čínské lidové republice, kde patří do provincie Ťiang-su.
Partnerská města, Poloha & Administrativní členění
Explore the main themes, entities and connections around Lien-jün-kang. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
prefektura ťiang-su provincie commons čína obyvatel 2020 městská 34 36 119 10 datové položky wikimedia čínsky pchin-jinem znaky jün-tchaj liányúngǎng
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Lien-jün-kang | Hustota zalidnění | 604 obyv./km² | 1.00 | infobox |
| Lien-jün-kang | Oficiální web | www.lyg.gov.cn | 1.00 | infobox |
| Lien-jün-kang | Označení vozidel | 苏G | 1.00 | infobox |
| Lien-jün-kang | Počet obyvatel | 4 599 360 (2020) | 1.00 | infobox |
| Lien-jün-kang | provincie | Ťiang-su | 1.00 | infobox |
| Lien-jün-kang | PSČ | 222000 (centrum) 222100-222300, 222500 (zbytek) | 1.00 | infobox |
| Lien-jün-kang | Rozloha | 7 615,29 km² | 1.00 | infobox |
| Lien-jün-kang | Souřadnice | 34°36′ s. š., 119°10′ v. d. | 1.00 | infobox |
| Lien-jün-kang | Stát | Čína Čína | 1.00 | infobox |
| Lien-jün-kang | Telefonní předvolba | 518 | 1.00 | infobox |
| Lien-jün-kang | Vznik | 1935 | 1.00 | infobox |
| Lien-jün-kang | Časové pásmo | UTC+8 | 1.00 | infobox |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.