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Recenzija, prikaz

The Most Suitable Map Projections for Creating Globes and Artificial Intelligence

Nedjeljko Frančula ; Geodetski fakultet Sveučilišta u Zagrebu, Zagreb, Hrvatska
Miljenko Lapaine ; Geodetski fakultet Sveučilišta u Zagrebu, Kačićeva 26, 10000 Zagreb


Puni tekst: hrvatski pdf 556 Kb

str. 99-101

preuzimanja: 75

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Puni tekst: engleski pdf 556 Kb

str. 98-101

preuzimanja: 119

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Sažetak

According to Huck (2024), the most suitable map projection for creating the meridian segments (e.g. 12) from which the globe is assembled is the Cassini projection, i.e. the equidistant transverse cylindrical projection, with the note that this should not be interpreted as a “universal” best projection, as this may not be valid for other globe configurations or weighting schemes. If a larger number of segments is used, the polyconic projection is comparable. When creating a globe using meridian segments, there is a high concentration of paper joints at each pole. For aesthetic reasons, these joints are covered with polar caps or calotte. The equidistant azimuthal projection is the most suitable for creating calotte (Huck 2024).
We were interested in what artificial intelligence knows about how to make a globe. So we asked ChatGPT, DeepSeek, Grok, Perplexity, and Gemini on the question.

Ključne riječi

ChatGPT; DeepSeek; Grok; Perplexity; Gemini; Map Projections; Globes

Hrčak ID:

334810

URI

https://hrcak.srce.hr/334810

Datum izdavanja:

2.6.2025.

Podaci na drugim jezicima: hrvatski

Posjeta: 511 *