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Waltrop (German pronunciation: ⓘ) is a town in the district of Recklinghausen, in North Rhine-Westphalia, Germany. It is situated on the Datteln-Hamm Canal, approximately 15 km east of Recklinghausen and 15 km north-west of Dortmund.
The analysis highlights History, Governance and Twin towns – sister cities as prominent areas in the source structure around Waltrop.
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.
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The extracted context around Waltrop shows recurring relationship patterns in the source. For example, Waltrop → Cesson-Sévigné, France, Gardelegen, Germany, Görele, Herne Bay, Nicaragua, San Miguelito, Turkey, United Kingdom Another extracted example is Waltrop → Bauerschaften, Brockenscheidt, Elmenhorst, Holthausen, Leveringhausen, Lippe, Oberwiese, Unterlippe/Oberlippe. 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.
recklinghausen town germany mw-parser-output district north rhine-westphalia peter church references font-size 100 dortmund spd coal mine german saint coat arms
TTTA extracted 47 structured relationships around Waltrop. Examples in this analysis include Waltrop → Admin. region → Münster and Waltrop → Country → Germany. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Waltrop | Admin. region | Münster | 1.00 | infobox |
| Waltrop | Country | Germany | 1.00 | infobox |
| Waltrop | Dialling codes | 02309, 02363 (Oberwiese) | 1.00 | infobox |
| Waltrop | District | Recklinghausen | 1.00 | infobox |
| Waltrop | Elevation | 67 m (220 ft) | 1.00 | infobox |
| Waltrop | Postal codes | 45731 | 1.00 | infobox |
| Waltrop | State | North Rhine-Westphalia | 1.00 | infobox |
| Waltrop | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Waltrop | Vehicle registration | RE | 1.00 | infobox |
| Waltrop | • Density | 619.6/km2 (1,605/sq mi) | 1.00 | infobox |
| Waltrop | • Mayor .mw-parser-output .nobold{font-weight:normal}(2020–25) | Marcel Mittelbach (SPD) | 1.00 | infobox |
| Waltrop | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Waltrop | • Total | 47.09 km2 (18.18 sq mi) | 1.00 | infobox |
| Waltrop | • Total | 29,177 | 1.00 | infobox |
The concept neighborhoods around Waltrop bring nearby vocabulary together. In this analysis, examples include Town, Germany and Recklinghausen. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Waltrop, one of the stronger structural bridges in this analysis connects Waltrop with Governance. 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 Waltrop to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Governance & Twin towns – sister cities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Waltrop · EN edition · Analysis: TopicsToTalkAbout
