Regularly-distributed

Describes a state or arrangement where elements, objects, or occurrences are spread out across a space or period of time in a consistent and predictable pattern. This implies an absence of significant clustering or clumping, and instead, suggests a level of uniformity in their placement or frequency. The distribution isn't random; it follows a pre-defined or observable pattern, allowing for some degree of predictability. The term emphasizes the evenness of the arrangement, contributing to a balanced presentation.

Regularly-distributed meaning with examples

• In the field experiment, the fertilizer was regularly-distributed across the test plots, ensuring consistent nutrient availability for each plant. This controlled application was crucial for obtaining reliable growth comparisons. Each section received an even amount to ensure no bias, helping to assess the effectiveness of the treatments. The result was expected to be clear for each sample.
• The stars in this simulated galaxy are regularly-distributed, forming a clear, organized pattern unlike the irregular distributions that come when using different algorithms. The visualization helps to demonstrate the ideal arrangement for this type of formation. The even spacing throughout the image reveals a design carefully crafted to show this pattern for viewers. It presents a stable configuration.
• The survey questionnaires were regularly-distributed to ensure an adequate representation from each demographic group within the sample. This allowed for more reliable and accurate research, allowing for a better idea of the groups. The even distribution helps in minimizing any potential bias arising from one group being overrepresented. The researchers were able to study data with confidence.
• Traffic cameras were regularly-distributed along the highway to monitor traffic flow and collect data on congestion patterns. This consistent spacing maximizes coverage of the routes. Data analysis could better reveal the effects of changes in traffic patterns. Data gathering at evenly spaced intervals allows them to produce accurate real-time analysis.