Publications by authors named "Juan R Castro-Rodriguez"
Article Synopsis
- The traditional allometric analysis involves log-transformation to enable linear regression, leading to critiques suggesting bias and advocating for more complex, nonlinear approaches.
- A Takagi-Sugeno-Kang fuzzy model is introduced, enabling the identification of transition breakpoints in organismal growth phases, allowing for a detailed examination of allometric patterns.
- Results indicate that this model can adapt complexity based on the data set, effectively demonstrating the relationship between chela mass and body mass in fiddler crabs while showing that complex allometry can extend Huxley's power model.
