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Matulji (italsky Mattuglie) jsou hustě osídlené sídlo a správní středisko stejnojmenné rozsáhlé opčiny v Chorvatsku v Přímořsko-gorskokotarské župě. Těsně sousedí s Kastavem a nachází se asi 9 km severozápadně od Rijeky. V roce 2011 žilo v Matulji 3 731 obyvatel, v celé opčině pak 11 246 obyvatel. Matulji je po Viškovu, Nedelišći a Čepinu čtvrtou…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Matulji.
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 Matulji shows recurring relationship patterns in the source. For example, Matulji → Obrázky, Wikimedia Commons Another extracted example is Matulji → 23 vesnic. 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.
opčiny obyvatel a7 rijeky 21 commons nachází 731 opčinou 2011 chorvatsko 11 246 opčina 23 67 pohled část dálnici vlajka
TTTA extracted 21 structured relationships around Matulji. Examples in this analysis include Matulji → Administrativní dělení → 23 vesnic and Matulji → Etnické složení → Chorvati (90,87 %), Slovinci (2,21 %), Srbové (1,96 %), Italové (0,85 %), Češi (0,08 %). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Matulji | Administrativní dělení | 23 vesnic | 1.00 | infobox |
| Matulji | Etnické složení | Chorvati (90,87 %), Slovinci (2,21 %), Srbové (1,96 %), Italové (0,85 %), Češi (0,08 %) | 1.00 | infobox |
| Matulji | Hustota zalidnění | 63,7 obyv./km² | 1.00 | infobox |
| Matulji | Nadmořská výška | 195 m n. m. | 1.00 | infobox |
| Matulji | Náboženské složení | Křesťané (88,83 %), Muslimové (1,28 %) | 1.00 | infobox |
| Matulji | Oficiální web | matulji.hr/pocetna/ | 1.00 | infobox |
| Matulji | Označení vozidel | RI | 1.00 | infobox |
| Matulji | Počet obyvatel | 11 246 (2011) | 1.00 | infobox |
| Matulji | PSČ | 51 211 Matulji | 1.00 | infobox |
| Matulji | Region | Gorski Kotar | 1.00 | infobox |
| Matulji | Rozloha | 176,67 km² | 1.00 | infobox |
| Matulji | Souřadnice | 45°21′47″ s. š., 14°19′33″ v. d. | 1.00 | infobox |
| Matulji | Starosta | Mario Ćiković | 1.00 | infobox |
| Matulji | Status | Opčina | 1.00 | infobox |
| Matulji | Stát | Chorvatsko Chorvatsko | 1.00 | infobox |
| Matulji | Telefonní předvolba | +385 051 | 1.00 | infobox |
| Matulji | Časové pásmo | +1 | 1.00 | infobox |
| Matulji | Župa | Přímořsko-gorskokotarská | 1.00 | infobox |
The concept neighborhoods around Matulji bring nearby vocabulary together. In this analysis, examples include Obyvatel, Commons and Dálnici. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Matulji, one of the stronger structural bridges in this analysis connects Matulji with Overview. 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 Matulji to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Matulji · CS edition · Analysis: TopicsToTalkAbout