Sentence examples for by developing a spatially from inspiring English sources

We overcome these limitations by developing a spatially and temporally explicit general modeling approach that can quantify a species-specific habitat quality as a function of timing and location of grassland measures in a straightforward and general way.

This work aims at closing such knowledge gap by developing a Spatially and Temporally Distributed Empirical model for Phosphorus Management (STEM-P) that simulates the daily phosphorus loss from source areas to receiving waters on a spatially-distributed grid-cell basis.

The effects of parameterized cross sections are evaluated in this study by developing a modeling framework that externally couples a spatially distributed hydrologic model, HL-RDHM, with a one-dimensional unsteady hydraulic model, HEC-RAS.

We have developed a spatially explicit modelling framework that links duck migration patterns with gene transport.

We developed a spatially explicit indicator (or metric) called Normalized Difference Green-Building Volume (NDGB), derived from remote sensing, that can be used to predict the way people perceive the ESS conveyed by green spaces in cities.

We have developed a spatially explicit IBM for passerine migration from the natal area up to a specified arrival region.

We developed a spatially explicit, individual-based model to investigate the evolution of dispersal kernels during range shifts.

Previously, oscillatory dynamics have been reported, for example by Arakelyan et al., who developed a spatially-averaged ordinary differential equation (ODE) model of tumour growth [ 5].

Moffitt et al. [25] develop a spatially-explicit model to examine persistence and harvest of a population that has dispersing larvae and adults moving within a home range.

Although we use a UK model formulation, hypoxic area and volume are not determined by kriging (i.e., spatial interpolation), but instead by developing " spatially consistent Monte Carlo simulations" which are often referred to as conditional realizations (CRs).

We enabled the 20-year time series of data collected for dugong stock assessments in northeast Australia to be used for species conservation and the design of MPAs at local, regional and national scales by developing spatially-explicit models of dugong distribution and relative density (Figure 2).