wxyang007
PhD Student of Geography at UC Santa Barbara working on conservation and geographic information science
Department of Geography, University of California, Santa BarbaraSanta Barbara, California
Pinned Repositories
apiscraper
beautiful-jekyll
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
biogeography-workshop
CC-Linear-mixed-models
Introduction to linear mixed models
Chinese-Tutorial
中文教程，入门和进阶 Mapbox 必备
CompareConnectivityMetric
cpln692-week1
Introduction to Javascript and the tools of the trade
cpln692-week2
Introduction to Javascript: Programming with Functions
wxyang007.github.io
wxyang007's Repositories
wxyang007/beautiful-jekyll
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
wxyang007/biogeography-workshop
wxyang007/CC-Linear-mixed-models
Introduction to linear mixed models
wxyang007/Chinese-Tutorial
中文教程，入门和进阶 Mapbox 必备
wxyang007/CompareConnectivityMetric
wxyang007/datavizmusa620
A template for including data visualizations in a Jekyll-powered blog with Github Pages.
wxyang007/globalBiomassC
wxyang007/Introduction-to-Julia
Learn the language basics in this 10-part course.
wxyang007/wxyang007.github.io
wxyang007/GEDI-BDL
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
wxyang007/global-canopy-height-model
This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estimates canopy top height for every Sentinel-2 image pixel and was trained using sparse GEDI LIDAR data as a reference.
wxyang007/habitaR
An R package to create, manage and validate species' distribution maps. It is mainly based on the approach of species' Area of Habitat (AOH) and also useful to perform the over-predicting correction of Species Distribution Models (SDMs) and to develop SDMs-derived distribution maps.
wxyang007/JuliaDataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
wxyang007/MUSA620final
wxyang007/protconn
Workflow for Protection Connectivity
wxyang007/ROS-Examples
Regression and other stories R examples
wxyang007/Spiders
各种大小爬虫集合
wxyang007/summer2019
portfolio
wxyang007/temp
This is the repository of my personal website. The creation of this website was based on Emily C. Zabor and Yan Holtz's tutorials on GitHub. To visit my personal website:
wxyang007/terratorch
a Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
wxyang007/try_snap
wxyang007/tutorial_contents
Geohackweek Tutorial Contents
wxyang007/UGS_iguide2024
A repository for team 2 I-GUIDE summer school 2024
wxyang007/urban_greenspace_classification
Code for "A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap". The green space map is deposited @ figshare (https://doi.org/10.6084/m9.figshare.19803790)
wxyang007/week-2
Data Visualization Fundamentals
wxyang007/week-3
Geospatial Data Analysis and GeoPandas
wxyang007/week-4
More Interactive Data Viz (hvplot), Getting Started with APIs
wxyang007/week-6
Getting Data Part 2: Web Scraping
wxyang007/word_cloud
A little word cloud generator in Python
wxyang007/You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.