Sentence examples for more spatial variability from inspiring English sources

Variables that were up-scaled using source data with higher native spatial resolutions (i.e. temperature and salinity, 0.25°) performed better than variables with native resolutions of 1° (i.e. silicate, phosphate and nitrate) (Figure 2), but the response was not consistent amongst these variables with silicate showing more spatial variability than nitrate and phosphate (Figure 2c d).

Maximum surface temperatures generally had slightly more spatial variability than minimum surface temperatures, resulting in R2 values of 0.86, 0.77, 0.72, and 0.79 for north-facing, south-facing, valley, and ridgeline topographic settings.

LUR modeling of air pollution concentrations has been shown to capture more spatial variability within an urban center than using only concentrations measured at the closest available central site monitor (Pouliou et al. 2008).

Spatial variability (described by the width of the box plot) was present to varying degrees for correlations within the AQ and PE metrics, with more spatial variability present for local local pollutant correlations than for regional regional pollutant correlations, especially for the CO EC and NOx EC pairs.

Local pollutants (CO, NOx, and EC) had relatively more spatial variability in their AQ and PE metrics than did regional pollutants (PM2.5, SO4, and O3), which was expected given the variation of local source emissions such as traffic at the ZIP code level.

A comparative analysis between NDVI- and LSMA-derived C factors also proved that the latter produced a more detailed spatial variability, as well as generated more accurate erosion estimates when used as input to RUSLE model.

Finally, leveraging the repeated measures and integrating meteorology and land use characteristics, mobile monitoring data can be used to more richly characterize spatial variability throughout the region [ 23], by more knowledgeably tailoring the spatial and temporal characteristics of a fixed-site monitoring network.

Fine-resolution inputs captured more of the spatial variability, but estimates were similar to coarse-resolution data when integrated across the entire landscape.

It is anticipated the classification will become the basis for more focused investigation of spatial variability in climate and ocean setting, and biological attributes of the Pacific islands.

It is anticipated the classification will become the basis for more focused investigation of spatial variability of the climate and ocean setting as well as the biological attributes of Pacific islands.

Therefore, regional planning fertilization should pay more attention to the spatial variability of soil chemical properties to avoid economic losses and environmental pollution, and especially to the limited nutrients.