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Now showing items 11-14 of 14
Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
(SPRINGER, 2010)
This case study presented herein compares the GIS-based landslide susceptibility mapping methods such as conditional probability (CP), logistic regression (LR), artificial neural networks (ANNs) and support vector machine ...
GIS-based kinematic slope instability and slope mass rating (SMR) maps: application to a railway route in Sivas (Turkey)
(SPRINGER HEIDELBERG, 2012)
The paper discusses the use of kinematic stability and slope mass rating (SMR) maps in GIS based on field studies recording the relationships between the bedding/joint geometry relative to the orientation of the free face. ...
The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks
(SPRINGER, 2010)
This study presented herein compares the effect of the sampling strategies by means of landslide inventory on the landslide susceptibility mapping. The conditional probability (CP) and artificial neural networks (ANN) ...
A method proposal for monitoring the microclimatic change in an urban area
(ELSEVIER SCIENCE BV, 2019)
It is known that changes in urban surface characteristics lead to different urban climates. The surrounding environment directly affects thermal comfort and human behavior. In this respect, for sustainable urban growth, ...