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Sumatra je s rozlohou 443 066 km² šestým největším ostrovem světa. Nachází se v západní části souostroví Velké Sundy a je součástí Indonésie.
The analysis highlights Administrativní členění, Geografie and Obyvatelstvo as prominent areas in the source structure around Sumatra.
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 Sumatra shows recurring relationship patterns in the source. For example, Sumatra → AcehBangka-BelitungBengkuluJambiLampungRiau, Administrativní, Jižní Sumatra, Medan, PadangSumatera Selatan, PalembangSumatera Utara, PekanbaruSumatera Barat, Severní Sumatra, Sumatry, Západní Sumatra Another extracted example is Sumatra → Minangkabau, Obrázky, SUBHIS, Wikimedia Commons Slovníkové, Wikislovníkuhttps, Západní Sumatra. 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.
indonésie ostrova km² kerinci sumatera medan hl město západní commons obyvatel sumatry části topografie 17 56 101 16 15 datové
TTTA extracted 23 structured relationships around Sumatra. Examples in this analysis include Sumatra → Hustota zalidnění → 106 obyv./km² and Sumatra → Nejvyšší vrchol → Kerinci (3 805 m n. m.). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sumatra | Hustota zalidnění | 106 obyv./km² | 1.00 | infobox |
| Sumatra | Nejvyšší vrchol | Kerinci (3 805 m n. m.) | 1.00 | infobox |
| Sumatra | Největší sídlo | Medan | 1.00 | infobox |
| Sumatra | Počet obyvatel | 50 180 000 (2014) | 1.00 | infobox |
| Sumatra | Rozloha | 473 481 km² | 1.00 | infobox |
| Sumatra | Stát | Indonésie Indonésie | 1.00 | infobox |
| Sumatra | Zeměpisné souřadnice | 0°17′56″ j. š., 101°16′15″ v. d. | 1.00 | infobox |
| Sumatra | related to Administrativní členění | Administrativní | 0.60 | section |
| Sumatra | related to Administrativní členění | Sumatry | 0.60 | section |
| Sumatra | related to Administrativní členění | AcehBangka-BelitungBengkuluJambiLampungRiau | 0.60 | section |
| Sumatra | related to Administrativní členění | PekanbaruSumatera Barat | 0.60 | section |
| Sumatra | related to Administrativní členění | Západní Sumatra | 0.60 | section |
The concept neighborhoods around Sumatra bring nearby vocabulary together. In this analysis, examples include Administrativní, Commons and Sumatera. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sumatra, one of the stronger structural bridges in this analysis connects Sumatra with Administrativní členění. 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 Sumatra to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Administrativní členění, Geografie & Obyvatelstvo, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sumatra · CS edition · Analysis: TopicsToTalkAbout