xinxxxin

GridDER.github.io

The package finds a grid system

gdm

R package for Generalized Dissimilarity Modeling

1_repo_git_Rstudio

For testing out Rstudio

2_demo

This is for a lab meeting

AVIRIS-NG_ENVI-rotatedgrid

Understanding AVIRIS-NG data in ENVI format with rotated grid

Awesome-GEE-by-Qiusheng

A curated list of Google Earth Engine resources

gdm

R package for Generalized Dissimilarity Modeling. Compiled with R 4.0.2. Modified functions that work with 'sparseGDM' package.

geneticOffsetR

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.

RDA-forest

association analysis of distance matrices using gradient forest approach

sgdm_package

SGDM package. Compiled with R 4.0.2. Tested out internal functions from 'gdm' package.

xinxxxin/AVIRIS-NG_ENVI-rotatedgrid

Understanding AVIRIS-NG data in ENVI format with rotated grid

xinxxxin/Awesome-GEE-by-Qiusheng

A curated list of Google Earth Engine resources

xinxxxin/awesome-hyperspectral

Awesome projects, papers, and tools for working with hyperspectral imagery

xinxxxin/deep_learning_SDM

Building and Training Neural Networks with an R interface

xinxxxin/RDA-forest

association analysis of distance matrices using gradient forest approach

xinxxxin/Balanced-Gradient-Forests-with-quantile-classifier

Analyses species presence/absence data using balanced random forests, collates the split-point improvements in impurity, and uses these to convert predictor variables into a biologically-informed importance scale.

xinxxxin/Brightness_normalization_for_imaging_spectroscopy

This repository applies brightness normalization across spectra for airborne imaging spectroscopy such as AVIRIS Classic, AVIRIS NG, and NEON AOP hyperspectal data.

xinxxxin/eco4cast-in-R-book

Practical Guide to Ecological Forecasting in R online book

xinxxxin/eefa-notebook

Python scripts and Jupyter notebooks for the EEFA book

xinxxxin/EMIT-Data-Resources

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.

xinxxxin/emit-ghg

Mapping of greenhouse gases with EMIT.

xinxxxin/HyperCoast

A Python package for visualizing and analyzing hyperspectral data in coastal regions

xinxxxin/hyperSpec

hyperSpec: Tools for Spectroscopy (R package)

xinxxxin/hypRspec_forked

hyperspectral processing tools

xinxxxin/HyTools-sandbox

xinxxxin/Influence-of-collinearity-and-novelty-on-ecological-forecasting

This is a repository for manuscript accepted at Global Ecology and Biogeography

xinxxxin/jupyter-ai

A generative AI extension for JupyterLab

xinxxxin/megatrees

Subset of existing mega phylogenies for several taxonomic groups

xinxxxin/pak

A fresh approach to package installation

xinxxxin/rasterdiv

Diversity Indices for Numerical Matrices

xinxxxin/Rsagacmd

A package for linking R with the open-source SAGA-GIS

xinxxxin/satellite_image_deep_learning_applications

Techniques for deep learning with satellite & aerial imagery

xinxxxin/sdmTMB

:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB

xinxxxin/server_test

xinxxxin/Structural-uncertainty-in-species-distribution-models

This repository contains all scripts of data downloading, data processing, model building, and model prediction for the species distribution modeling experiment lead by Anna Thonis, Uzma Ashraf, C. Nikki Cavalieri, Toni Lyn Morelli, and Adam B. Smith.

xinxxxin/TNRSapi

API wrapper for TNRS batch application

xinxxxin/torch

R Interface to Torch

xinxxxin/tricolore

A flexible color scale for ternary compositions

xinxxxin/tutorials

The PO.DAAC Cookbook: A place to find data recipes and tutorials for PO.DAAC datasets, tools & services

xinxxxin/VITALS_NASA_forked

This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.