Pinned Repositories
CesarCloud
Automation of creating and configuring AWS instances
DatabaseAPI
Flask API for PostgreSQL database
AEC
Introduction to Spatial Analysis with R - Advanced Environmental Computation Course
blockCV
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
disdat
Data for Evaluating Species Distribution Modelling Methods
myspatial
A collection of my functions for spatial data analysis and modelling in R
Presence-Only-SDM
Predictive performance of presence-only species distribution models
SDM-Spatial-Validation
Appendix S1 for "Flexible species distribution modelling methods perform well on spatially separated testing data"
SDM_with_PPM
A tutorial for modelling species distributions with spatial point processes
SDMwithRFs
Modelling species presence-only data with random forests
rvalavi's Repositories
rvalavi/blockCV
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
rvalavi/SDMwithRFs
Modelling species presence-only data with random forests
rvalavi/SDM_with_PPM
A tutorial for modelling species distributions with spatial point processes
rvalavi/Presence-Only-SDM
Predictive performance of presence-only species distribution models
rvalavi/myspatial
A collection of my functions for spatial data analysis and modelling in R
rvalavi/disdat
Data for Evaluating Species Distribution Modelling Methods
rvalavi/AEC
Introduction to Spatial Analysis with R - Advanced Environmental Computation Course
rvalavi/EcolEvol_R_Workshop
rvalavi/geocompr
Forthcoming book on geographic data with R
rvalavi/ggResponse
Create response curve for different models in ggplot2.
rvalavi/LSTmodelling
This repository is for the materials related to the manuscript for consideration in the GIScience & Remote Sensing Journal.
rvalavi/sdm-culture
Ensemble Species distribution modelling (SDM)
rvalavi/SDM-Spatial-Validation
Appendix S1 for "Flexible species distribution modelling methods perform well on spatially separated testing data"
rvalavi/aws-spatial
Design and provision AWS infrastructure for analysing big geospatial data
rvalavi/computer-systems-CS-APP3e
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.
rvalavi/EE_Intro_Spatial_Workshop
Material from the Introduction to Spatial Analysis in R workshop from the Ecology and Evolution PhD Program. See here:
rvalavi/fastapi
FastAPI for Postgres DB
rvalavi/gdm
R package for Generalized Dissimilarity Modeling
rvalavi/GeneticRiskIndex
rvalavi/kd-tree
An implementation of k-d tree for searching
rvalavi/maxnet
An R package that implements much of the functionality of the Maxent Java application
rvalavi/predicts
Methods for spatial prediction
rvalavi/ranger
A Fast Implementation of Random Forests
rvalavi/RANN2
Fast Nearest Neighbour Search (Rcpp wrapper for libANN)
rvalavi/rmarkdown-action
Github action to render documents using rmarkdown. Includes pandoc and tinytex installations
rvalavi/SDM_with_Python
Species distribution modelling in Python
rvalavi/sdmverse
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.
rvalavi/UbuntuPlaybook
Ansible playbook for configuration of my ubuntu/pop-os!