Open ivanjimenez opened 1 year ago
Documentación:
• Kriging is widely used in geostatistics to predict the response over a spatial region given data at various locations throughout the region. A variogram first estimates the spatial dependence. Weighted averages of observed values are then used to predict the response at many locations. Statgraphics XVII plots both predicted values and variances for those predictions. Predictions are also presented in tabular form. To learn more visit our website: http://www.statgraphics.com/. • Ordinary Kriging in Python In this video Dr. J goes through a simple example of using the PyKrige package to do ordinary kriging in Python. Link to the Google Colab notebook in the video: https://colab.research.google.com/dri... Link to the PyKrige homepage: https://geostat-framework.readthedocs... • Ordinary Kriging in Python From Scratch Creating an ordinary kriging estimator from scratch in python • PyKrige Project Page
Punto por cada metatarso -> experimental/separar_met
Live -> experimental/live Todos los frames no tira el render del scottplot. He puesto 1 de cada 10 frames y a mi me va bien. Si se cuelga o tarda mucho en calcularse puedes cambiar esta variable del fichero Graphs/Pressuremap.cs private const int N_FRAMES = 10; ponle 20 o 50
He hecho otra version que calcula la media de los N_FRAMES frames. La anterior cogia directamente el primero.
Tomando de muestra la anterior imagen. Se pide realizar un diseño lo mejor posible para que sólo se muestren las plantillas. Es decir, borrar los cables.