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John Napier (také latin. Neper), Laird of Merchiston (1550, Merchiston Castle u Edinburghu – 4. dubna 1617, tamtéž) byl skotský matematik, fyzik, astronom a astrolog. Je známý díky objevu logaritmů a popularizaci užití desetinné tečky. Místo, kde se narodil, je nyní součástí Napierovy univerzity.
The analysis highlights Životopis and Overview as prominent areas in the source structure around John Napier.
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 John Napier shows recurring relationship patterns in the source. For example, John Napier → Edinburgh, ISBN, Logarithm John, Lynne Gladstone-Millar, National Museums, Scotland Publications Another extracted example is John Napier → Obrázky, Wikimedia Commons. 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.
john napier edinburgh 55 56 of 1617 dubna merchiston 1550 matematik fyzik astronom st commons astrolog neper místo logaritmů února
TTTA extracted 19 structured relationships around John Napier. Examples in this analysis include John Napier → Alma mater → Univerzita v St Andrews (od 1563) and John Napier → Choť → Elizabeth Stirling (1572–1579) Agnes Chisholm. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| John Napier | Alma mater | Univerzita v St Andrews (od 1563) | 1.00 | infobox |
| John Napier | Choť | Elizabeth Stirling (1572–1579) Agnes Chisholm | 1.00 | infobox |
| John Napier | Děti | Joan Napier Archibald Napier, 1st Lord Napier William Napier of Ardinmoir John Napier Adam Napier Jane Napier … více na Wikidatech | 1.00 | infobox |
| John Napier | Místo pohřbení | Katedrála svatého Jiljí (do 1842; 55°56′58″ s. š., 3°11′27″ z. d.) St Cuthbert's Church, Edinburgh (od 1842; 55°56′59″ s. š., 3°12′20″ z. d.) | 1.00 | infobox |
| John Napier | Narození | 1. února 1550 Merchiston Tower | 1.00 | infobox |
| John Napier | Nábož. vyznání | Skotská církev | 1.00 | infobox |
| John Napier | Občanství | Skotské království | 1.00 | infobox |
| John Napier | Povolání | teolog, matematik, astronom, fyzik, vynálezce a astrolog | 1.00 | infobox |
| John Napier | Rodiče | Archibald Napier a Janet Bothwell | 1.00 | infobox |
| John Napier | Rodné jméno | John Napier | 1.00 | infobox |
| John Napier | Úmrtí | 4. dubna 1617 (ve věku 67 let) Edinburgh | 1.00 | infobox |
| John Napier | related to Externí odkazy | Obrázky | 0.60 | section |
The concept neighborhoods around John Napier bring nearby vocabulary together. In this analysis, examples include Napier, Edinburgh and Commons. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For John Napier, one of the stronger structural bridges in this analysis connects John Napier 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 John Napier to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Životopis & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — John Napier · CS edition · Analysis: TopicsToTalkAbout