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The spatial distribution of vegetation canopy cover was quantified using photogrammetric modeling and landscape pattern metrics.
Yet it still offers much more with new and developing techniques for hydrodynamic modeling and landscape analysis.
The study's approach, which combines scenario-based urban simulation modeling and landscape metrics, is shown to be effective in representing, understanding, and predicting the spatial temporal dynamics and patterns of urban evolution, including urban expansion trends.
In this study, we show a novel approach on the use of β-diversity modeling and landscape metrics for the selection of priority conservation areas to assist the management of Magdalena Bay, one of the most important bays of Mexico.
This work utilizes bird survey data, regression modeling, land-use modeling and landscape metrics to evaluate the effects of various spatial bird diversity conservation approaches on land-use allocation, land-use patterns, and biodiversity in the Shangan sub-watershed in central Taiwan.
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We present a novel method for mapping and modeling landscape values and perceptions that leverages viewshed analysis of georeferenced social media data.
This research compares classification-based techniques (discrete data) to the use of vegetation indices (continuous data) for land cover modeling and analyses of landscape fragmentation for a study area in western Honduras.
We used a coupled ecosystem and landscape modeling approach to predict tree species' abundance at the landscape scale.
Computational intelligence (CI) techniques have positively impacted the petroleum reservoir characterization and modeling landscape.
Surface soil moisture information is needed for monitoring and modeling landscape processes at various spatial scales.
With the theory developed above, additional modeling efforts are needed to combine this model with stochastic features of linear statistical and landscape models for parameter estimation, genetic network construction and genotype-phenotype prediction in breeding populations.
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modeling and regularization
modeling and optimization
modeling and estimation
modeling and quantization
modeling and coloring
modeling and path
modeling and visualization
modeling and forecasting
modeling and algorithm
modeling and testing
modeling and theory
modeling and analysis
modeling and verification
modeling and retreat
modeling and coding
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