Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Obec Nicov (německy Nitzau) leží na samém severozápadě okresu Prachatice v Jihočeském kraji. Žije zde 85 obyvatel.
The analysis highlights Památky, Části obce and Overview as prominent areas in the source structure around Nicov.
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 Nicov shows recurring relationship patterns in the source. For example, Nicov → Amálino, FaraÚdolí Zlatého, Jana Nepomuckého, Johann Jungbauer, Kaple, Kašperských Horách, Kohoutí, Losenice, Martina, Milov, MilovKohoutí, Na, Nicova, NicovaKaple, Obří, Po, Popelná, Románský, Tato, Ve Another extracted example is Nicov → Městská, Obrázky, Oficiální, Registru, RÚIAN, Wikimedia CommonsNicov. 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.
obce 13 prachatice kaple milov 14 obec obyvatel počet vimperk nicova sv jana nepomuckého roce commons leží studenec česko 85
TTTA extracted 51 structured relationships around Nicov. Examples in this analysis include Nicov → Adresa obecního úřadu → Nicov č. p. 33 384 73 Stachy [email protected] and Nicov → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Nicov | Adresa obecního úřadu | Nicov č. p. 33 384 73 Stachy [email protected] | 1.00 | infobox |
| Nicov | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Nicov | Historická země | Čechy | 1.00 | infobox |
| Nicov | Kraj | Jihočeský | 1.00 | infobox |
| Nicov | Kód obce | 529893 | 1.00 | infobox |
| Nicov | Nadmořská výška | 896 m n. m. | 1.00 | infobox |
| Nicov | Obec s rozšířenou působností | Vimperk (správní obvod) | 1.00 | infobox |
| Nicov | Oficiální web | www.nicov.cz | 1.00 | infobox |
| Nicov | Okres | Prachatice | 1.00 | infobox |
| Nicov | Pověřená obec | Vimperk | 1.00 | infobox |
| Nicov | Počet domů | 59 (2021) | 1.00 | infobox |
| Nicov | Počet k. ú. | 4 | 1.00 | infobox |
| Nicov | Počet obyvatel | 85 (2025) | 1.00 | infobox |
| Nicov | Počet ZSJ | 5 | 1.00 | infobox |
| Nicov | Počet částí obce | 4 | 1.00 | infobox |
| Nicov | PSČ | 384 73 | 1.00 | infobox |
| Nicov | Rozloha | 13,77 km² | 1.00 | infobox |
| Nicov | Starostka | Mgr. Jitka Čiefová | 1.00 | infobox |
| Nicov | Status | obec | 1.00 | infobox |
| Nicov | Stát | Česko Česko | 1.00 | infobox |
| Nicov | Zeměpisné souřadnice | 49°7′32″ s. š., 13°37′14″ v. d. | 1.00 | infobox |
The concept neighborhoods around Nicov bring nearby vocabulary together. In this analysis, examples include Commons, Cz and Infoboxu. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Nicov, one of the stronger structural bridges in this analysis connects Nicov with Památky. 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 Nicov to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Památky, Části obce & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Nicov · CS edition · Analysis: TopicsToTalkAbout