Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Obec Ptice se nachází v okrese Praha-západ, kraj Středočeský, asi 22 km západně od centra Prahy a 5 km severozápadně od Rudné. Žije zde přibližně 1 000 obyvatel.
The analysis highlights Historie, Partnerské obce and Pamětihodnosti as prominent areas in the source structure around Ptice.
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 Ptice shows recurring relationship patterns in the source. For example, Ptice → Anna Barbora Karvinská, Bohuněk, Bohuňkovi, Bredovi, Bílé Hoře, Další, Dne, Drnova, Ducha, Hořelice, Hořelicích, Jan, Jana, Janem Josefem Karvinským, Janu Petrovi, Kapitula, Karlovi Jách, Karvin, Kozolupy, Marie Anna Karolina Another extracted example is Ptice → Bezzecca, Buštěhrad, Chyňava, Concei, Dne, Doksy, Ledro, Milín, Molina, Nový Knín, Pieve, Příbram, Sopra, Sotto, Svazem, Tiarno, Valle, Všeň. 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 roce roku pticích obec horní unhošť dne chybí zdroj počet středočeský obci ptic starostou nachází zde praha-západ obecního části
TTTA extracted 109 structured relationships around Ptice. Examples in this analysis include Ptice → Adresa obecního úřadu → Ptice 140 252 18 Úhonice [email protected] and Ptice → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ptice | Adresa obecního úřadu | Ptice 140 252 18 Úhonice [email protected] | 1.00 | infobox |
| Ptice | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Ptice | Historická země | Čechy | 1.00 | infobox |
| Ptice | Katastrální území | Ptice | 1.00 | infobox |
| Ptice | Kraj | Středočeský | 1.00 | infobox |
| Ptice | Kód obce | 532789 | 1.00 | infobox |
| Ptice | Kód části obce | 136638 | 1.00 | infobox |
| Ptice | Nadmořská výška | 408 m n. m. | 1.00 | infobox |
| Ptice | Obec s rozšířenou působností | Černošice (správní obvod) | 1.00 | infobox |
| Ptice | Oficiální web | www.obecptice.cz | 1.00 | infobox |
| Ptice | Okres | Praha-západ | 1.00 | infobox |
| Ptice | Pověřená obec | Hostivice | 1.00 | infobox |
| Ptice | Počet domů | 336 (2021) | 1.00 | infobox |
| Ptice | Počet k. ú. | 1 | 1.00 | infobox |
| Ptice | Počet obyvatel | 1 014 (2025) | 1.00 | infobox |
| Ptice | Počet ZSJ | 2 | 1.00 | infobox |
| Ptice | Počet částí obce | 1 | 1.00 | infobox |
| Ptice | PSČ | 252 18 | 1.00 | infobox |
| Ptice | Rozloha | 7,82 km² | 1.00 | infobox |
| Ptice | Starosta | Ing. Miloš Dvorský | 1.00 | infobox |
| Ptice | Status | obec | 1.00 | infobox |
| Ptice | Stát | Česko Česko | 1.00 | infobox |
| Ptice | Zeměpisné souřadnice | 50°3′10″ s. š., 14°9′58″ v. d. | 1.00 | infobox |
The concept neighborhoods around Ptice bring nearby vocabulary together. In this analysis, examples include Roku, Horní and Obce. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ptice, one of the stronger structural bridges in this analysis connects Ptice 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 Ptice to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Partnerské obce & Pamětihodnosti, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ptice · CS edition · Analysis: TopicsToTalkAbout