Remapped: meaning, definitions and examples
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remapped
[ rɪˈmæpt ]
data processing
Remapped refers to the process of adjusting or changing the mapping of data or functions. This often occurs in programming and data analysis when existing mappings are deemed ineffective or incorrect. By remapping, individuals or systems can reorganize how input or output is handled, leading to more efficient processing. This concept is widely utilized in various fields like computer science, game development, and database management, where data structures may need to be altered for better optimization or functionality.
Synonyms
reallocate, reassign, reorganize
Examples of usage
- The software remapped the user inputs to improve functionality.
- After analyzing the results, the engineer decided to remap the data fields.
- We need to remap the coordinates to enhance the accuracy of the model.
Translations
Translations of the word "remapped" in other languages:
🇵🇹 remapeado
🇮🇳 नवीनतम रूप से मानचित्रित
🇩🇪 neu zugeordnet
🇮🇩 dipetakan ulang
🇺🇦 перемаплений
🇵🇱 przemapowany
🇯🇵 再マッピングされた
🇫🇷 remappé
🇪🇸 remapeado
🇹🇷 yeniden haritalanmış
🇰🇷 재매핑된
🇸🇦 إعادة تعيين
🇨🇿 přemapováno
🇸🇰 prerádiť
🇨🇳 重新映射
🇸🇮 ponovno preslikano
🇮🇸 endurmappaður
🇰🇿 қайта карталанған
🇬🇪 მجدევრებული
🇦🇿 yenidən xəritələnmiş
🇲🇽 remapeado
Etymology
The term 'remapped' is derived from the prefix 're-', meaning 'again' or 'anew', combined with the root word 'map', which has origins in Middle English. The word 'map' itself can be traced back to the Latin 'mappa', which means 'napkin' or 'cloth'. This reference likely alludes to the concept of a map being a representation of an area on a flat surface, much like a cloth spread out to show a particular layout. The act of remapping, therefore, can be seen as a modern extension of the idea of creating and modifying maps, reflecting the evolution of technology and data management practices. The usage of 'remapped' increasingly became prevalent with the rise of digital mapping and programming in the late 20th century, as industries required more flexibility in their data management methods.