Gridding: meaning, definitions and examples
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gridding
[ ˈɡrɪdɪŋ ]
mapping technique
Gridding refers to the practice of creating a grid or a systematic layout for organizing data, information, or objects within a predefined space. This technique is often used in various fields, including geography, data analysis, and design, to facilitate the analysis and comprehension of complex data sets.
Synonyms
data structuring, design layout, mapping.
Examples of usage
- The researchers used gridding to analyze the geographical distribution of species.
- Gridding helped in organizing the architectural design of the campus.
- They implemented gridding to simplify the data visualization process.
data organization
To grid means to arrange or organize data, objects, or information into a grid format. This technique aids in visual clarity and can enhance the efficiency of various processes, such as data analysis and spatial planning.
Synonyms
Examples of usage
- The team plans to grid the area for better data collection.
- We need to grid the information before presenting it.
- She gridded the layout for the presentation.
Translations
Translations of the word "gridding" in other languages:
🇵🇹 divisão em grades
🇮🇳 ग्रिडिंग
🇩🇪 Rasterung
🇮🇩 penggaringan
🇺🇦 гридинг
🇵🇱 siatka
🇯🇵 グリッド化
🇫🇷 mise en grille
🇪🇸 reja
🇹🇷 ızgara oluşturma
🇰🇷 그리드화
🇸🇦 تشكيل شبكة
🇨🇿 mřížkování
🇸🇰 mriežkovanie
🇨🇳 网格化
🇸🇮 mreženje
🇮🇸 gagnaskipting
🇰🇿 торкеме
🇬🇪 გრიდინგი
🇦🇿 şəbəkələşdirmə
🇲🇽 rejilla
Etymology
The term 'gridding' is derived from the word 'grid,' which has its origins in the 19th century, stemming from the late Latin term 'grida,' meaning a network or lattice. The concept of a grid has been widely used in various scientific and artistic disciplines, providing a framework for spatial organization. As technology progressed, particularly with the rise of computing and data analysis, the application of gridding expanded, emphasizing its utility in structuring and visualizing large sets of data. Today, the term is commonly associated with methods of organizing not only geographical data but also information in digital formats, reflecting broader trends in data management and visualization.