Name: Wenxin Yang
Type: User
Company: Department of Geography, University of California, Santa Barbara
Bio: PhD Student of Geography at UC Santa Barbara working on conservation and geographic information science
Location: Santa Barbara, California
Blog: wxyang007.github.io
Wenxin Yang's Projects
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
A repository to synthesize how to calculate landscape connectivity metrics
Introduction to linear mixed models
中文教程,入门和进阶 Mapbox 必备
Introduction to Javascript and the tools of the trade
Introduction to Javascript: Programming with Functions
A template for including data visualizations in a Jekyll-powered blog with Github Pages.
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.
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.
Learn the language basics in this 10-part course.
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Workflow for Protection Connectivity
Regression and other stories R examples
各种大小爬虫集合
portfolio
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:
a Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
Python package with functions for assessing land change, drought vulnerability, and urbanization
Geohackweek Tutorial Contents
Data Visualization Fundamentals
Geospatial Data Analysis and GeoPandas
More Interactive Data Viz (hvplot), Getting Started with APIs