Sentence examples for in terms of spatial analysis from inspiring English sources

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Furthermore, interactive dynamic generation of buffers and intersection with additional geodata enhance the WebGIS functionalities in terms of spatial analysis.

In terms of spatial analysis functions, KOPSS has 147 unit functions for geometry processing, vector data analysis, raster analysis, spatial statistics, population growth modeling, Huff modeling, etc. [16].

In terms of spatial analysis functions, we assessed whether a UIS provides the functions necessary for measuring SDG 11 indicators or if the UIS analysis functions are extensible to support the measurement.

Similar(57)

The time-consuming excavation of entire root systems tends to limit measurements to only a few trees, but the trench sampling used to obtain the PN dataset provides a lower accuracy in terms of spatial characterisation of roots but enables the analysis of variability among more trees.

Although remote sensing technology has great potential for acquisition of detailed and accurate information of landscape regions, the determination of land-use data with high accuracy is generally limited by the availability of adequate remote sensing data, in terms of spatial and temporal resolution, and digital image analysis techniques.

These spatial distributions are analyzed in terms of spatial variability of the statistical parameters, using a depth-independent analysis and 7 quite homogeneous coastal segments are identified.

The goal of this work was to evaluate and compare EDX and APT analysis of III-nitride alloys, in terms of spatial resolution and composition accuracy.

Their analysis leads to the following question: How high, in terms of spatial ability, do people have to be to major in STEM disciplines?

The most evident is expressed in terms of spatial variability.

In terms of spatial dependency, spatial econometric models are normally categorized into spatial autoregressive models (SAR) and spatial errors models (SEM).

We conclude with a cluster analysis showing that high and low unemployment regions have similar responses in the short-run while, in the long-run, the former are more reactive in terms of spatial mobility.

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