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Štip (makedonsky Штип) je největší město ve východní části Severní Makedonie, na železniční trati Veles – Kočani. Dle sčítání lidu z roku 2002 zde žilo 43 625 obyvatel. Město se rozkládá ve Východním regionu a je správním centrem stejnojmenné opštiny. Protéká ním řeka Bregalnica a Otinja.
The analysis highlights Historie, Kultura a pamětihodnosti and Doprava as prominent areas in the source structure around Štip.
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 Štip shows recurring relationship patterns in the source. For example, Štip → Bulharskem, Byzantskou, Isar, Je, Nejstarší, Paeonia, Peutingerově, Polyainos, Poté, Srbskem, Ve Another extracted example is Štip → A3, A4, Do, Kočani, Městem, První, Skopje, Veles. 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.
zde město města století roce štipu název makedonie 44 během místní roku severní obyvatel bregalnica astibo později jako nachází železniční
TTTA extracted 51 structured relationships around Štip. Examples in this analysis include Štip → Etnické složení → Makedonci (87,2 %), Romové (4,6 %) and Štip → Hustota zalidnění → 81,9 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Štip | Etnické složení | Makedonci (87,2 %), Romové (4,6 %) | 1.00 | infobox |
| Štip | Hustota zalidnění | 81,9 obyv./km² | 1.00 | infobox |
| Štip | Nadmořská výška | 300 m n. m. | 1.00 | infobox |
| Štip | Oficiální web | www.stip.gov.mk | 1.00 | infobox |
| Štip | Opština | Štip | 1.00 | infobox |
| Štip | Počet obyvatel | 47 796 (2002) | 1.00 | infobox |
| Štip | PSČ | 2000 | 1.00 | infobox |
| Štip | Rozloha | 583,24 km² | 1.00 | infobox |
| Štip | Souřadnice | 41°44′45″ s. š., 22°11′44″ v. d. | 1.00 | infobox |
| Štip | Starosta | Zoran Aleksov | 1.00 | infobox |
| Štip | Statistický region | Pelagonský | 1.00 | infobox |
| Štip | Status | město | 1.00 | infobox |
| Štip | Stát | Severní Makedonie Severní Makedonie | 1.00 | infobox |
| Štip | Telefonní předvolba | (+389) 032 | 1.00 | infobox |
The concept neighborhoods around Štip bring nearby vocabulary together. In this analysis, examples include Commons, Během and Název. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Štip, one of the stronger structural bridges in this analysis connects Štip 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 Štip to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Kultura a pamětihodnosti & Doprava, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Štip · CS edition · Analysis: TopicsToTalkAbout