Don De Alban's Projects
TOC R package
A repository of learning & R resources related to topic models
Construct linear and non-linear allometric models
Quantitative Structure Models of Single Trees from Laser Scanner Data
Continuous change detection of Indonesian rainforests from Landsat Time Series
Java time series machine learning tools in a Weka compatible toolkit
Tools for time series analysis and forecasting
QGIS plugin tools for remote sensing timeseries
Visualize time series obtained from Google Earth Engine and run pyccd on them.
A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.
Open source tutorials on remote sensing data analysis
LaTeX version of graduate thesis manuscript template of College of Engineering, University of the Philippines Diliman.
A visualization grammar.
R-based scripts to process remote-sensing data using a supervised machine-learning algorithm known as the Random Forests algorithm. This is used to classify vegetation and later to conduct a change detection process to identify sub-regions undergoing vegetation loss.
Materials for the "Version control for research" breakout session of the Best Practice for Code Archiving workshop, 11 December 2016.
villager is an extensible agent based modeling (ABM) framework for the R language. It supports agents, agent aggregations and their associated resources, as well as flexible data management.
Validation algorithm is based on the scientific work of P.Olofsson named 'Making better use of accuracy data in land change studies: Estimating accuracy and area quantifying uncertainty using stratified estimation'. The algorithm considers reference data to estimate the area per class.
a GUI-based app for ecological niche modeling
waveform LiDAR data processing and analysis
Mapping wetland hydrological dynamics using Google Earth Engine (GEE)
WhiteboxTools Frontends
WhiteboxTools R Frontend
R Package - calculate Information Value and WoE (Weight of Evidence)
Performance analysis functions, plot ROC curve in ggplot2, AUROC, IV, WOE calculation for binary classification models (logistic, discriminant analysis, svm etc)
:exclamation: This is a read-only mirror of the CRAN R package repository. woe — Computes Weight of Evidence and Information Values