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Galič

Galič (rusky Галич) je město v Kostromské oblasti v Ruské federaci. Při sčítání lidu v roce 2010 mělo přes sedmnáct tisíc obyvatel.

[CS, Czech, Čeština]

Dějiny, Poloha & Odkazy

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Research this topic

Explore the main themes, entities and connections around Galič. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Federální okruh
Centrální
Hustota zalidnění
756,2 obyv./km²
Nadmořská výška
130 m n. m.
Oblast
Kostromská
Oficiální web
www.galich.com
Počet obyvatel
12 856 (2021)

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Poloha

Dějiny

Odkazy

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Galič

Nodes26
Edges25
Triples28
Avg. degree1.92
Density0.076923
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Galič

Top relations

related to Dějiny · 5
Galič → Halyč, Jurij Dolgorukij, Moskvu, Ukrajině, Za
related to Poloha · 5
Galič → Buj, Galiče, Galičského, Kostromy, Nejbližší
related to Doprava · 3
Galič → Moskvy, Přes Galič, Transsibiřská
related to Externí odkazy · 2
Galič → Obrázky, Wikimedia Commons
Federální okruh · 1
Galič → Centrální
Hustota zalidnění · 1
Galič → 756,2 obyv./km²
Nadmořská výška · 1
Galič → 130 m n. m.
Oblast · 1
Galič → Kostromská
Oficiální web · 1
Galič → www.galich.com
Počet obyvatel · 1
Galič → 12 856 (2021)

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

město oblasti roce commons rusko kostromské obyvatel pohled vrchu balčug znak vlajka 58 23 42 21 mapě datové položky wikimedia

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
GaličFederální okruhCentrální1.00infobox
GaličHustota zalidnění756,2 obyv./km²1.00infobox
GaličNadmořská výška130 m n. m.1.00infobox
GaličOblastKostromská1.00infobox
GaličOficiální webwww.galich.com1.00infobox
GaličPočet obyvatel12 856 (2021)1.00infobox
GaličPSČ157200–1572031.00infobox
GaličRozloha17 km²1.00infobox
GaličSouřadnice58°23′ s. š., 42°21′ v. d.1.00infobox
GaličStátRusko Rusko1.00infobox
GaličTelefonní předvolba(+7) 494371.00infobox
GaličVznik11591.00infobox
GaličČasové pásmoUTC+31.00infobox

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.