Sentence examples for geospatial model from inspiring English sources

In this paper we review the coupling of a geospatial model of wildfire particulate emissions and transport within a GAM statistical modeling approach to create an empirical model of respiratory health outcomes under specific smoke transport scenarios.

GPR-based estimates of peat volume and detailed soil maps were then used to develop a geospatial model of mean peat thickness (L*) in cranberry bogs.

The geospatial model was then restored in three dimensions to reveal the kinematic evolution of the Lenghu fold-and-thrust belt.

To perform (N k) contingency analysis, a geospatial model of the power grid is developed that allows for the computation of outage probabilities of the transmission lines affected by the hurricane wind fields.

A geospatial model for the period including winter months was found to have a better predictive capability than the one that centred upon the summer, with the latter routinely overestimating fwMRP when compared with observed (test) data.

The present paper deals with Biodiversity Characterization at Landscape Level, preparing thematic maps for spatial representation of landscape parameters and then validation of the geospatial model using a three-tier approach, viz., landscape analysis, field data extrapolation and geospatial analysis, for two groups of islands in Indian subcontinent.

Kurashima, N. & Kirch, P. V. Geospatial modeling of pre-contact Hawaiian production systems on Moloka'i Island, Hawaiian Islands.

We then used the kernel density estimator in the Geospatial Modelling Environment36 package to create the kernel density grid for each top predator dataset.

Landscape ecology has brought spatial analysis and geospatial modeling to the forefront of ecological research.

Geospatial models provided greater explanation of P variance than regression models (an improvement in predictive capability of up to 8.5%).

Social vulnerability assessments rely on two approaches: case studies of at-risk populations and geospatial models using census data.