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Effect of Spatial Scale on Modeling and Predicting Mean Cavity Tree Density: A Comparison of Modeling Methods
CART, Logistic Regression Neural Network Oak Forest Prediction Accuracy
2013/3/4
Cavity trees are integral components of healthy forest ecosystems and provide habitat and shelter for a wide variety of wildlife species. Thus, monitoring and predicting cavity tree abundance is an im...
Clayey Sand Soil's Behaviour Analysis and Imaging Subsurface Structure via Engineering Characterizations and Integrated Geophysicals Tomography Modeling Methods
Geoelectrical Resistivity Seismic Refraction Soil's Behaviour Investigate Monitoring Period
2013/3/7
The geoelectrical resistivity and seismic refraction surveys which were used in this study on the test site, delivered a detailed image of the near-surface conditions in generally very good. Electrica...
A Pattern-Oriented Approach to a Methodical Evaluation of Modeling Methods
Pattern-Oriented Approach Methodical Evaluation Modeling Methods
2009/12/9
The paper describes a pattern-oriented approach to evaluate modeling methods and to compare various methods with each other from a methodical viewpoint. A specific set of principles (the patterns) is ...
Evaluation of Database Modeling Methods for Geographic Information Systems
Geographic Information Systems spatial requirements spatial database modeling
2009/12/8
We present a systematic evaluation of different modeling techniques for the design of Geographic Information Systems as we experienced them through theoretical research and real world applications. A ...
Integrating field and numerical modeling methods for applied urban karst hydrogeology
geologic formations Electrical Resistivity Tomography urban karst hydrogeology
2009/7/22
Infrastructures constructed on unstable geologic formations are prone to subsidence. Data have been collected in the context of an upgrading project for a highway located beside a river dam constructe...
Comparative Analysis of Modeling Methods for Predicting Woven Fabric Properties
artificial neural network empirical modeling mathematical modeling
2009/5/8
Three modeling methodologies based on mathematical, empirical and artificial neural network based on radial basis function have been compared for their ability to predict fabric properties. It has be...
