Roozbeh Valavi's Projects
Introduction to Spatial Analysis with R - Advanced Environmental Computation Course
Design and provision AWS infrastructure for analysing big geospatial data
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
My solutions of Computer Systems: A Programmer’s Perspective, Third Edition (CS:APP3e) book, the text book for the course, CMU15-213: Introduction to Computer Systems.
Data for Evaluating Species Distribution Modelling Methods
Material from the Introduction to Spatial Analysis in R workshop from the Ecology and Evolution PhD Program. See here:
FastAPI for Postgres DB
R package for Generalized Dissimilarity Modeling
Forthcoming book on geographic data with R
Create response curve for different models in ggplot2.
An implementation of k-d tree for searching
This repository is for the materials related to the manuscript for consideration in the GIScience & Remote Sensing Journal.
An R package that implements much of the functionality of the Maxent Java application
A collection of my functions for spatial data analysis and modelling in R
Methods for spatial prediction
Predictive performance of presence-only species distribution models
A Fast Implementation of Random Forests
Fast Nearest Neighbour Search (Rcpp wrapper for libANN)
Github action to render documents using rmarkdown. Includes pandoc and tinytex installations
Appendix S1 for "Flexible species distribution modelling methods perform well on spatially separated testing data"
A tutorial for modelling species distributions with spatial point processes
Species distribution modelling in Python
sdmverse is a collaborative metapackage for listing all the metadata of the Species Distribution Modelling (SDM) packages. sdmverse includes a graphical interface available locally or online (see below). sdmverse integrates metadata from SDM packages and checks their validity against the CRAN metadata for perenity.
Modelling species presence-only data with random forests
Ansible playbook for configuration of my ubuntu/pop-os!