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C-squares (acronym for the Concise Spatial QUery And REpresentation System) is a system of spatially unique, location-based identifiers (geocodes) for areas on the surface of the earth, represented as cells from a latitude- and longitude-based Discrete Global Grid at a hierarchical set of resolution steps, obtained by progressively subdividing 10×10…
The analysis highlights History, Applications and Art as prominent areas in the source structure around C-squares.
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 C-squares shows recurring relationship patterns in the source. For example, C-squares → According, AquaMaps, ATLAS, ATLAS Project, Australia, Baltic Sea, C-square, Campos, Coral Triangle, Corell, Costello, EASI-Fish, Eastern Mediterranean Sea, Ecological Assessment, Economic Committee, EU-funded Horizon, European Commission Data, Examples, Exploration, Fisheries Another extracted example is C-squares → AquaMaps, Atmosphere, Australia, CSIRO Marine Research, CSIRO Oceans, Ebbe Nielsen Prize, Economic Committee, EOGEO, European Commission, FishBase, Fisheries, For, GBIF, Global Biodiversity Information Facility, Globe, Guo, Hill, ICES, Ispra, It. 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.
data degree grid spatial squares 10 also square example cells system etc latitude marine longitude available cell global notation degrees
TTTA extracted 188 structured relationships around C-squares. Examples in this analysis include C-squares → Example → 3112 (10 degree square) and C-squares → Example → 3112:3 (5 degree square). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| C-squares | Example | 3112 (10 degree square) | 1.00 | infobox |
| C-squares | Example | 3112:3 (5 degree square) | 1.00 | infobox |
| C-squares | Example | 3112:360 (1 degree square) | 1.00 | infobox |
| C-squares | Example | 3112:360:4 (0.5 degree square) | 1.00 | infobox |
| C-squares | Example | 3112:360:475 (0.1 degree square) | 1.00 | infobox |
| C-squares | Example | 3112:360:475:1 (0.05 degree square) | 1.00 | infobox |
| C-squares | Example | etc. | 1.00 | infobox |
| C-squares | Full name | Concise spatial query and representation system | 1.00 | infobox |
| C-squares | Introduced | 13 May 2002; 24 years ago (2002-05-13) | 1.00 | infobox |
| C-squares | No. issued | 648 (10 degree squares) | 1.00 | infobox |
| C-squares | No. issued | 2,592 (5 degree squares) | 1.00 | infobox |
| C-squares | No. issued | 64,800 (1 degree squares) | 1.00 | infobox |
| C-squares | No. issued | 259,200 (0.5 degree squares) | 1.00 | infobox |
| C-squares | No. issued | 6,480,000 (0.1 degree squares) | 1.00 | infobox |
| C-squares | No. issued | 25,920,000 (0.05 degree squares) | 1.00 | infobox |
| C-squares | No. issued | etc. | 1.00 | infobox |
| C-squares | No. of digits | 4 (10 degree squares) | 1.00 | infobox |
| C-squares | No. of digits | 6 (5 degree squares) | 1.00 | infobox |
| C-squares | No. of digits | 8 (1 degree squares) | 1.00 | infobox |
| C-squares | No. of digits | 10 (0.5 degree squares) | 1.00 | infobox |
| C-squares | No. of digits | 12 (0.1 degree squares) | 1.00 | infobox |
| C-squares | No. of digits | 14 (0.05 degree squares) (counts include separator character/s) | 1.00 | infobox |
| C-squares | No. of digits | etc. | 1.00 | infobox |
| C-squares | Organisation | CSIRO | 1.00 | infobox |
| C-squares | Website | csquares.sourceforge.net, www.cmar.csiro.au/csquares/ | 1.00 | infobox |
| C-squares | is a | example of such a grid where the cell identifiers are designed to be human- as well as machine-readable | 0.90 | text |
The concept neighborhoods around C-squares bring nearby vocabulary together. In this analysis, examples include Squares, Data and Spatial. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For C-squares, one of the stronger structural bridges in this analysis connects C-squares 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 C-squares to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — C-squares · EN edition · Analysis: TopicsToTalkAbout