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Jü-si

Jü-si (čínsky pchin-jinem Yùxī, znaky 玉溪) je městská prefektura v Čínské lidové republice, kde patří k provincii Jün-nan. Celá prefektura má rozlohu 14 807 čtverečních kilometrů a žije v ní zhruba dva a čtvrt milionu obyvatel.

[CS, Czech, Čeština]

Poloha, Správní členění & Rodáci

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Research this topic

Explore the main themes, entities and connections around Jü-si. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Hustota zalidnění
150,5 obyv./km²
Oficiální web
www.yuxi.gov.cn
Počet obyvatel
2 249 502 (2020)
provincie
Jün-nan
PSČ
653100
Rozloha
14 942 km²

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Poloha

Správní členění

Rodáci

Reference

  • Yuxi Yuxi?oldid=474799439

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Jü-si

Nodes24
Edges23
Triples19
Avg. degree1.92
Density0.083333
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Jü-si

Top relations

related to Poloha · 7
Jü-si → Chung-che, Jün-nan, Jünnansko-kuejčouské, Kchun-mingem, Kchun-mingu, Pchu-erem, Prefektura
related to Externí odkazy · 2
Jü-si → Obrázky, Wikimedia Commons
Hustota zalidnění · 1
Jü-si → 150,5 obyv./km²
Oficiální web · 1
Jü-si → www.yuxi.gov.cn
Počet obyvatel · 1
Jü-si → 2 249 502 (2020)
provincie · 1
Jü-si → Jün-nan
PSČ · 1
Jü-si → 653100
Rozloha · 1
Jü-si → 14 942 km²
Souřadnice · 1
Jü-si → 24°21′ s. š., 102°32′ v. d.
Stát · 1
Jü-si → Čína Čína

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

prefektura jün-nan commons čína 14 obyvatel městská čínské lidové kilometrů zhruba dva 24 21 102 32 datové položky yuxi provincie

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
Jü-siHustota zalidnění150,5 obyv./km²1.00infobox
Jü-siOficiální webwww.yuxi.gov.cn1.00infobox
Jü-siPočet obyvatel2 249 502 (2020)1.00infobox
Jü-siprovincieJün-nan1.00infobox
Jü-siPSČ6531001.00infobox
Jü-siRozloha14 942 km²1.00infobox
Jü-siSouřadnice24°21′ s. š., 102°32′ v. d.1.00infobox
Jü-siStátČína Čína1.00infobox
Jü-siČasové pásmoUTC+81.00infobox
Jü-sirelated to Externí odkazyObrázky0.60section
Jü-sirelated to Externí odkazyWikimedia Commons0.60section
Jü-sirelated to PolohaJün-nan0.60section

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.