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Glarus (Swiss Standard German: ⓘ; Alemannic German: Glaris; French: Glaris ; Italian: Glarona; Romansh: Glaruna) is the capital of the canton of Glarus in Switzerland. Since 1 January 2011, the municipality of Glarus incorporates the former municipalities of Ennenda, Netstal and Riedern.
The analysis highlights History, Community, Politics and Economy as prominent areas in the source structure around Glarus.
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 Glarus shows recurring relationship patterns in the source. For example, Glarus → American, Anna Göldi, ArtsWerner Marti, Australian, Dietrich, Europe, Hasler, Hoesli, HolocaustRudi Schmid, Horak, Hössli, Jakob, Jakob Blumer, Joseph Untersee, Krohn, Noser, Roman Catholic, Schiesser, Swiss, Swiss Red Cross Another extracted example is Glarus → Clarona, Counts, Emperor Charles, Fat, February, Felix, Frick, German, Hotzenwald, In, Kyburg, Lake Walen, Latin, Lenzburg, On, Raetia Curiensis, Regula, Rhine, Richardis, Richgard. 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.
canton municipality population swiss french linth switzerland town german total ennenda netstal zürich precipitation land valley zwingli capital 2011 church
TTTA extracted 133 structured relationships around Glarus. Examples in this analysis include Glarus → Canton → Glarus and Glarus → Country → Switzerland. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Glarus | Canton | Glarus | 1.00 | infobox |
| Glarus | Country | Switzerland | 1.00 | infobox |
| Glarus | Demonym | German: Glarner(in) | 1.00 | infobox |
| Glarus | District | n.a. | 1.00 | infobox |
| Glarus | Elevation (Stadtkirche Glarus) | 472 m (1,549 ft) | 1.00 | infobox |
| Glarus | ISO 3166 code | CH-GL | 1.00 | infobox |
| Glarus | Localities | Glarus, Netstal, Ennetbühls, Ennenda, Riedern, Hinter-Klöntal, Richisau, Klöntal | 1.00 | infobox |
| Glarus | Postal code | 8750, 8754, 8755 | 1.00 | infobox |
| Glarus | SFOS number | 1632 | 1.00 | infobox |
| Glarus | Surrounded by | Glarus Nord, Glarus Süd, Muotathal (SZ), Innerthal (SZ) | 1.00 | infobox |
| Glarus | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Glarus | Twin towns | Wiesbaden-Biebrich (Germany) | 1.00 | infobox |
| Glarus | Website | www.gemeinde.glarus.ch | 1.00 | infobox |
| Glarus | • Density | 121.0/km2 (313.5/sq mi) | 1.00 | infobox |
| Glarus | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Glarus | • Total | 103.6 km2 (40.0 sq mi) | 1.00 | infobox |
| Glarus | • Total | 12,539 | 1.00 | infobox |
The concept neighborhoods around Glarus bring nearby vocabulary together. In this analysis, examples include Swiss, Canton and Switzerland. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Glarus, one of the stronger structural bridges in this analysis connects Glarus with History. 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 Glarus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community, Politics & Economy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Glarus · EN edition · Analysis: TopicsToTalkAbout