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Arlesheim je obec ve švýcarském kantonu Basilej-venkov. Žije zde přibližně 9 300 obyvatel. Je sídlem stejnojmenného okresu.
The analysis highlights Historie, Geografie and Doprava as prominent areas in the source structure around Arlesheim.
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 Arlesheim shows recurring relationship patterns in the source. For example, Arlesheim → Autobusová, Basilej, Basilejí, Basler Verkehrs-Betriebe, BLT, Delémont, Dornach, Dornach-Arlesheim, Laufen, Münchenstein, Reinachem, S3 S-Bahn, Spolu, Tramvajová Another extracted example is Arlesheim → Basilej-venkov, Birs, Birseck, Centrum, Dornach, Gempen, Muttenz, Münchenstein, Reinach, Rozloha, Solothurn. 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.
obec basilej-venkov obyvatel roce švýcarsko kantonu arlesheimu commons roku světě tj linka okresu znak vlajka 47 29 36 37 16
TTTA extracted 53 structured relationships around Arlesheim. Examples in this analysis include Arlesheim → Hustota zalidnění → 1 344 obyv./km² and Arlesheim → Kanton → Basilej-venkov. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Arlesheim | Hustota zalidnění | 1 344 obyv./km² | 1.00 | infobox |
| Arlesheim | Kanton | Basilej-venkov | 1.00 | infobox |
| Arlesheim | Nadmořská výška | 334 m n. m. | 1.00 | infobox |
| Arlesheim | Oficiální web | www.arlesheim.ch | 1.00 | infobox |
| Arlesheim | Okres | Arlesheim | 1.00 | infobox |
| Arlesheim | Označení vozidel | BL | 1.00 | infobox |
| Arlesheim | Počet obyvatel | 9 314 (2024) | 1.00 | infobox |
| Arlesheim | PSČ | 4144 | 1.00 | infobox |
| Arlesheim | Rozloha | 6,93 km² | 1.00 | infobox |
| Arlesheim | Souřadnice | 47°29′36″ s. š., 7°37′16″ v. d. | 1.00 | infobox |
| Arlesheim | Stát | Švýcarsko Švýcarsko | 1.00 | infobox |
| Arlesheim | related to Doprava | Spolu | 0.60 | section |
The concept neighborhoods around Arlesheim bring nearby vocabulary together. In this analysis, examples include Basilej-venkov, Roce and Birs. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Arlesheim, one of the stronger structural bridges in this analysis connects Arlesheim with Geografie. 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 Arlesheim to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Geografie & Doprava, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Arlesheim · CS edition · Analysis: TopicsToTalkAbout