"data richness" is a correct and commonly used phrase in written English.
It refers to the amount and diversity of information or data available. Example: "The data richness of this study allowed for a thorough analysis of the factors affecting consumer behavior." In this sentence, "data richness" emphasizes the depth and quantity of data that was used in the study. It implies that the research was comprehensive and thorough due to the wealth of data available.
Ecological data richness maps and Marxan results show the importance of nearshore and continental shelf regions.
The result is a reduction of data richness, limitations of query capability and increased systems overhead.
With these data, richness of plants and visitors were calculated, interaction networks were constructed and the degree of specialization was calculated for each network.
In most cases, such data richness is not well understood as to how to utilize it better during design and operation.
Data richness maps for the six categories of human uses show that all, except shipping and transport, are also closely linked to the shoreline and continental shelf.
The objectives are to understand and quantify the trade-off between model complexity and data richness, the levels of model complexity that could feasibly produce accurate and reliable forecasts, and the abundance, frequency and quality of data needed to make those forecasts possible.
For microsatellite DNA data, allelic richness for each locus and population and FIS were calculated using the program FSTAT v. 2.9.3 (Goudet, 2001).
To analyse whether the diversity of the biogas-producing microbial community is sufficiently covered by the sequence data, species richness, diversity and rarefaction calculations were conducted.
We analyzed the distribution of protected areas across Colombia relative to elevation [26], slope (derived from elevation data), species richness (amphibians, mammals, and breeding birds), agricultural suitability [27], distance to roads [28], and distance to urban areas [29].
For the COOA and AZMP data, species richness in each sample was based on rarefaction to 50 individuals in order to correct for within-program differences in sampling effort.
22 The qualitative data added richness to the quantitative findings and confirmed some of the intensity implied by the high perceived threat levels, with an emphasis on disgust and health concerns in many.
