Xin Chen's Projects
For testing out Rstudio
This is for a lab meeting
Awesome projects, papers, and tools for working with hyperspectral imagery
Building and Training Neural Networks with an R interface
scripts and snippets for Google Earth Engine
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
Ecological Niche Modeling using Presence-Absence Data
R package for Generalized Dissimilarity Modeling. Compiled with R 4.0.2. Modified functions that work with 'sparseGDM' package.
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.
Custom R functions from: Fitzpatrick MC, Chhatre VE, Soolanayakanahally RY, Keller SR (in review) Experimental support for genomic prediction of climate maladaptation using the machine learning approach Gradient Forests.
The package finds a grid system
Geographically weighted Random Forest Classification (code repository of PLOS ONE publication)
An R pakage to calculate diversity through Hill Numbers
:package: R package for hierarchical Bayesian species distribution models
A Python package for visualizing and analyzing hyperspectral data in coastal regions
hyperSpec: Tools for Spectroscopy (R package)
This is a repository for manuscript accepted at Global Ecology and Biogeography
A generative AI extension for JupyterLab
Tutorials for bioinformatics and data analysis related to landscape genomics
This repository is a place to find data user resources that demonstrate how to use LP DAAC tools, services, and data.
Subset of existing mega phylogenies for several taxonomic groups
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.
Cleaned biodiversity data from NEON
Material for ENM in R tutorial @ NIMBioS, 3-5 December, 2018
Integrates Google Earth Engine and QGIS using Python API
association analysis of distance matrices using gradient forest approach
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This repository offers a customized file for .Rprofile