Irregularly-distributed

Describing something that is not spread evenly or uniformly across a space, group, or timeframe. It implies a pattern of distribution that deviates from a regular or predictable arrangement. The elements or occurrences exhibiting this characteristic are scattered, unevenly spaced, and lack a consistent distribution. This lack of uniformity can pertain to physical objects, data points, events, or any entity that can be quantified or located within a defined scope. Factors leading to irregular distribution can be diverse and might include randomness, the influence of specific conditions, or intentional design.

Irregularly-distributed meaning with examples

• The rainfall was irregularly distributed throughout the year, with heavy downpours concentrated in a few months and prolonged dry spells during the rest. Farmers had difficulty predicting yields due to this erratic pattern, which impacted irrigation needs. Water resources management became complex due to these fluctuations, as well as crop and drought insurance requirements.
• The population of the island was irregularly distributed, with dense settlements along the coast and sparse communities in the mountainous interior. This uneven distribution influenced infrastructure development, as transportation networks were difficult and costly to maintain. Provision of services also became complex due to this disparity.
• In the research study, the data points were irregularly distributed, making it difficult to extrapolate results across the entire area. Statistical analysis was more complicated due to the uneven sample densities. Interpolation techniques had to be carefully applied.
• The weeds in the garden were irregularly distributed, with dense patches appearing in some areas and almost none in others. This made weeding a time-consuming process, which resulted in the need for various solutions. Different soil conditions, varying moisture levels, and sunlight availability contributed to this disparity.
• The customer complaints were irregularly distributed, spiking at specific times during the week and showing fewer complaints at other times. This allowed customer support to better allocate staff to match the demand during those periods. Investigating the root cause of those spikes and providing solutions was a primary function.