Implicit 3D geological modeling and geostatistics
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Updated
Mar 15, 2019 - R
Implicit 3D geological modeling and geostatistics
Mapping of groundwater level for realistic flow flowpaths using semi-automated kriging.
An R implementation of the DSMART algorithm
An R package that implements the methods of geostatistics for functional data
Mandatory work for Introduction to Geostatistics course on University of Buenos Aires (UBA)
Geostatistical inference under preferential sampling
SAMUEL-ROSA, A. et al. Do more detailed environmental covariates deliver more accurate soil maps? Geoderma, v. 243–244, p. 214–227, maio 2015.
Spatial Analysis Book
Valizas river (Uruguay - Lat: -34.358407, Lon: -53.844792) bathymetry model from BioSonics DT-X echosounder measured depths.
Streamlined Model-based Geostatistics Functions for the SEEG Research Group
A geospatial analysis used in my Masterthesis. Its a Least Cost Path analysis written in R that tries to identify the most likely routes camel caravans took to cross ancient Arabia
Kriging assignment for map generation using spatial interpolation
Bi-Conditional Likelihood Estimation for Spatial Data
River bathymetry interpolation methodology using R
Radial neighbors GP
Statistical profiling (ANOVA, linear-regression, variogram, etc) for geostatistics, stock market, etc
Comparison of spatial Gaussian copula and spatial random forests
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