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開放課程:Coursera | edX | FutureLearn | W3Schools | 臺大開放課程

Science, Technology & Geospatial

USTV+Radio: USTVGO channels | Radio Garden

Podcast: This American Life | Hidden-Brain | Revisionist History
NPR Daily: Up First | All Things Considered | Fresh Air | Life Kit*  
NPR Science: Invisibilia* | Short Wave* | TED Radio Hour 

GIScience: MapScaping | VerySpatial | Location Matters | Esri | Complexity
Math+Stat: StatQuest | Reducible | 3Blue1Brown | ritvikmath | Numberphile
Esri Magazine: WhereNext | ArcNews | ArcUser | ArcWatch
Esri: ArcGIS Pro: Get Started | Spatial Statistics Resources
Image Explorer: NASA Earth Observatory | USGS EarthExplorer
Bloomberg Channels: CityLab | MapLab | CityLab University
Data Visualization:
FlowingData | Making Maps
Geo-Industry: Geospatial World | Directions | NGA Pathfinder

News & Magazines
 | Bloomberg | Business Insider | Financial Times | The Wall Street Journal
 | MIT Sloan Management Review | MIT Technology Review | National Geographic
 | Scientific American | The Diplomat | The Economist | The New York Times
 | The Washington Post | Wired | The Atlantic | Foreign Policy | Medium
 | Harvard Business Review | HBR China | BBC Future; Worklife; Culture; Travel


Ai Content Generators
工具 ChatGPT | Copilot | Gemini | Claude2 | AI-toolkit
語法
指令大全 | AI-Short

筆記
Notion AI | 寫作 Writesonic | Wordtune | 翻譯 DeepL
繪圖 DALL·E 2 | Midjourney | Playground AI | Clip Drop | Astria | Leonardo.ai
圖片 remove.bg | Magic Eraser
照片 Codeformer | 動畫
Animated Drawings | 影片 FlexClip
文字->聲音 Voicebooking | NaturalReader | Ondoku
聲音->文字 Speechnotes
學術文獻
Elicit | Consensus | SciSpace

 Learning and Tutorials

# Spatial Data Analysis  
Geocomputation with R | Website  (Lovelace, Nowosad, Muenchow)
Spatial Microsimulation with R (Lovelace and Dumont)
Geospatial Data Science in R  (Zia Ahmed)
Geospatial Data Science with R (Michael C. Wimberly)
Geographic Data Science with Python (Rey, Arribas-Bel, Wolf)
Geospatial Analysis, 6th Edition (Michael de Smith, Paul Longley, Mike Goodchild)
Spatial Data Science with R (Robert J. Hijmans)
Spatial Data Science (Pebesma and Bivand)
Spatial Data Programming with R (Michael Dorman)
Spatial Statistics in R (datacamp)
GIS and Spatial Analysis (Manuel Gimond)
Earth Analytics (Earth Lab, University of Colorado, Boulder)
R for Geographic Data Science (Stefano De Sabbata)
Python for Geographic Data Analysis (Tenkanen, Heikinheimo, Whipp)
Geospatial Health Data (Paula Moraga)
Spatial Statistics for Data Science: Theory and Practice with R (Paula Moraga)
Spatial Modeling for Data Scientists (Rowe and Arribas-Bel)
Analyzing US Census Data (Kyle Walker)
Introduction to Urban Accessibility (Pereira and Herszenhut)
Elegant and Informative Maps with tmap (Tennekes, Nowosad)

# Spatial Simulation
Beginner's Interactive NetLogo Dictionary | User Guide
Introduction to Agent-Based Modeling (Models)
Agent-based and Individual-based Modeling (2nd Edn)

Agent-Based Modeling for Archaeology: Simulating the Complexity of Societies (GitHub)
Agent-based Modeling and Geographical Information Systems (GitHub)
Spatial Simulation: Exploring Pattern and Process (Model zoo)


# Computing for Earth Observation and Internet of Things (IoT)
Training Resources for Geospatial Computing (University of Twente)
PyTorch Remote Sensing (torchrs) (GitHub)
TorchGeo (GitHub)
Environmental Data Science
Cloud-Based Remote Sensing with Google Earth Engine
Earth Engine and Geemap: Geospatial Data Science with Python
Arduino Oplà IoT Kit

Gravity 37 Pcs Sensor Set for Arduino;
(簡中教學)

# Graph and Network Analysis 
Network Analysis Using R (Yunran Chen)
Applied Network Analysis for Learning (Bodong Chen)
Handbook of Graphs and Networks in People Analytics (Keith McNulty)
Methods for Network Analysis (Mark Hoffman)

# Bayesian Statistics
Bayesian Basics (Michael Clark)
Bayesian Reasoning and Methods (Kevin Ross)
Bayes Rules! Applied Bayesian Modeling (Johnson, Ott, Dogucu)
Bayesian Data Analysis for Cognitive Science (Nicenboim, Schad, Vasishth)
Bayesian Inference with INLA (Virgilio Gómez-Rubio)
Probability and Bayesian Modeling (Jim Albert and Jingchen Hu)
Statistical Rethinking with brms, ggplot2, and the tidyverse (Kurz)
Developing a Cancer Atlas using Bayesian Methods (Queensland University of Technology)
  

 #
Causal Inference

Applied Causal Analysis (Paul C. Bauer)
Causal Inference: The Mixtape (Scott Cunningham)
Difference-in-Differences Tutorial (Bret Zeldow and Laura Hatfield)
The Effect: An Introduction to Research Design and Causality (Nick Huntington-Klein)

 # Population and Epidemic Dynamics
Mathematical Modeling of Epidemics (using R, Python, Julia)
Agent-Based Evolutionary Game Dynamics (Izquierdo; Izquierdo; and Sandholm)
A Tour of the Generalized Lotka-Volterra Model (Stefano Allesina)
Epidemiologist R Handbook 
R Epidemics Consortium (RECON)

RECON Learn

# Statistical Methods

Doing Meta-Analysis with R (Harrer, M., et. al.)
Model Estimation by Example: Demonstrations with R (Michael Clark)
Beyond Multiple Linear Regression (Paul Roback and Julie Legler)
Handbook of Regression Modeling in People Analytics (Keith McNulty)
Surrogates: Gaussian Process Modeling (data and code) (Gramacy)
Linear Algebra for Data Science (Bennett)
Generalized Additive Models (GAMs) in R (Noam Ross)
Generalized Additive Models (Michael Clark)
Mixed Models with R (Michael Clark)
Telling Stories with Data (Rohan Alexander)
Statistical Thinking (Russell A. Poldrack)
Statistical Inference via Data Science (Chester Ismay and Albert Y. Kim)
Econometrics with R (Hanck, Arnold, Gerber, and Schmelzer)
Econometrics Academy (Ani Katchova)
Forecasting: Principles and Practice (Rob J Hyndman and George Athanasopoulos)
Population Health Techniques and the Tensions (Columbia University)
Data Analysis Examples (UCLA Statistical Consulting Group)
Statistical Workshops (UCLA Statistical Consulting Group)
Univariate Distribution Relationships, Source: The American Statistician (2008)
醫學統計學 (王超辰)
R 資料科學與統計 (林建甫)

現代應用統計與R語言 (黄湘云-簡中)
統計計算:方法與實踐(康雁飛等-簡中)

# Machine Learning
MIT Deep Learning Basics
R for Data Science
(Garrett Grolemund & Hadley Wickham)
Modern Data Science with R (Baumer, Kaplan, and Horton)
Data Science Live Book (Pablo Casas)
Interpretable Machine Learning (Christoph Molnar)
Behavior Analysis with Machine Learning Using R (Enrique Garcia Ceja)
Deep Learning with PyTorch Step-by-Step (Daniel Voigt Godoy)
Deep Learning from Scratch: GitHub (O'Reilly Japan, 2016)
Deep Learning Lectures (Chris G. Willcocks)
深度學習與圖像識別:原理與實踐 source code (GitHub)
動手學深度學習 (Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola)
EasyRL:強化學習教程(王琦等人-簡中)

# Data Visualization
Data Visualization with R (Robert Kabacoff)
Fundamentals of Data Visualization (Claus O. Wilke)
Interactive Web-based Data Visualization (Carson Sievert)
ggplot2: Elegant Graphics for Data Analysis | Exercise Solutions (Hadley Wickham)
R Graphics Cookbook, 2nd edition (Winston Chang)
R Gallery Book (Kyle W. Brown)
現代統計圖形 (趙鵬等人-簡中

# Statistical Thinking with Interactive Design
Seeing Theory: A Visual Intro to Prob. and Statistics (Daniel Kunin)
Explained Visually
Better Explained

Visual Intro to Machine Learning: Part 1
Visual Intro to Machine Learning: Part 2
會動的演算法

# R Programming

Big Book of R (Oscar Baruffa)
The Algorithms - R (GitHub)
Mastering Shiny (Hadley Wickham)
Efficient R programming (Colin Gillespie, Robin Lovelace)
Best Coding Practices for R (Vikram Singh Rawat)
R Markdown: The Definitive Guide (Xie, Allaire, Grolemund)
R Markdown Cookbook (Yihui Xie, et.al)
Advanced R | Solutions to the Exercises (Hadley Wickham)
Elegant Bookdown Template (黄湘云-簡中)

# Python Programming
The Algorithms - Python
Python Cheatsheet

Tutorials: Real Python
Tutorials: Ultimate Python Study Guide
Tutorials: Full Stack Python
Links: Awesome Python

# Miscellaneous
Learning Music
TwoTone: Web-based Data Sonification
English Listening Lesson Library Online
Listen in English
LaTeX/數學公式
| Online Editor