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Skuodas (žemaitsky Skouds, česky zastarale Škudy)) je okresní město v západní části Litvy, v Žemaitsku, v Klaipėdském kraji, 80 km na sever od Klaipėdy, 337 km na severozápad od Vilniusu, 48 km na sever od okresního města Plungė a jen 2 km na jih od státní hranice s Lotyšskem. Městem protéká řeka Bartuva, na které v městě leží rybník Skuodo jūra…
The analysis highlights Historie, Významní rodáci and Overview as prominent areas in the source structure around Skuodas.
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 Skuodas shows recurring relationship patterns in the source. For example, Skuodas → Augustas, Bitva, Ceklisu, Chodkevičius, Dva, Janu Chodkevičiusovi, Kazimieras Jonas Sapiega, Klaipeda, Kretinga, Livonskou, Livonský, Nejvyšší Rady Litevské Republiky, Nový, Poprvé, Později, Priekule, Sapeigové, Sapeigů, Sckoden, Scoden Another extracted example is Skuodas → Johanisberg, Název, Němci, Schoden, Skudn. 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.
města roce město kostel řeka bartuva zde roku chodkevičiusovi znak commons okresní sever skuodské litva kretinga priekule 1821 psč lt-98001
TTTA extracted 45 structured relationships around Skuodas. Examples in this analysis include Skuodas → Hustota zalidnění → 1 215,4 obyv./km² and Skuodas → Kraj → Klaipėdský. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Skuodas | Hustota zalidnění | 1 215,4 obyv./km² | 1.00 | infobox |
| Skuodas | Kraj | Klaipėdský | 1.00 | infobox |
| Skuodas | Oficiální web | www.skuodas.lt/index.php?par=24&eilute=58&iras=58 | 1.00 | infobox |
| Skuodas | Okres | Skuodas | 1.00 | infobox |
| Skuodas | Počet obyvatel | 7 244 (2009) | 1.00 | infobox |
| Skuodas | PSČ | LT-98001 | 1.00 | infobox |
| Skuodas | Rozloha | 5,96 km² | 1.00 | infobox |
| Skuodas | Souřadnice | 56°16′10″ s. š., 21°31′40″ v. d. | 1.00 | infobox |
| Skuodas | Starosta | Algimantas Šideikis | 1.00 | infobox |
| Skuodas | Stát | Litva Litva | 1.00 | infobox |
| Skuodas | Telefonní předvolba | 440 | 1.00 | infobox |
| Skuodas | Vznik | 1253 | 1.00 | infobox |
The concept neighborhoods around Skuodas bring nearby vocabulary together. In this analysis, examples include Commons, Wikimedia and Města. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Skuodas, one of the stronger structural bridges in this analysis connects Skuodas with Historie. 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 Skuodas to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Významní rodáci & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Skuodas · CS edition · Analysis: TopicsToTalkAbout