目錄
Software: Geospatial Analysis - spatial and GIS analysis techniques and GIS software
Spatial Statistics - GIS & Geospatial Technologies - LibGuides at University of California San Diego
The R Project for Statistical Computing R 首頁
The Comprehensive R Archive Network (r-project.org) R 軟體下載
CRAN - Contributed Packages (r-project.org) Package 列表
CRAN Task Views (r-project.org) 以領域區分Package 資源
Bioconductor - Home R應用在生物學的網站，有許多高品質套件
Rstudio is an integrated development environment (IDE) for R
R+ Excel
BERT Basic( Excel R Toolkit) is a tool for connecting Excel with R
R + ArcGIS
R 繪圖
Cloud computing with R (Durbach 2019) 說明各種雲端R的使用
Google Colab 包含 R及Python 執行環境，有AI輔助程式開發
Colab 中開啟新的R notebook: https://colab.research.google.com/notebook#create=true&language=r z
或 https://colab.to/r
Collab nootbook 中列出 Collab 的 kernel: !jupyter-kernelspec list
DataLab (datacamp.com) 包含 R、Python及SQL 執行環境, 有AI輔助程式開發。
compile R online 需付費
R Code Generator (codeconvert.ai) AI 根據敘述產生 R 程式
Quick-R: Home Page R in Action 作者建立R學習網站
R 語言導論 <Yao-Jen Kuo> | DataCamp 還有許多R的課程，有些為免費
数据科学中的 R 语言 (王敏杰) 解說清晰範例佳
R for Data Science (2e) (Wickham & Grolemund) 線上書籍，說明以 Tidyverse 方式進行資料科學研究，最好有基本R概念 Tidyverse 發明者的著作
Tidy Modeling with R (tmwr.org) 說明以 tidymodels 方式，進行資料建模與機器學習。
Statistical Inference via Data Science- A ModernDive into R and the Tidyverse (moderndive.com)
(PDF) R in Action | Chuchu Wang - Academia.edu Kabacoff的 R in Action 第二版(最新為3版)，由入門到進階，Amazon 4.5星
Introduction to Programming for Data Science (謝舒凱) 針對中文文本中呈現的語言特性的處理方法。
YaRrr! The Pirate’s Guide to R (bookdown.org) 傳統R的基礎功能教學，解說易懂。
Quick R Tutorial ( Erickson) 簡要的R分析教學講義
Introduction to R (rspatial) 較傳統的R基本介紹
R Tutorial (Black) R介紹，內容較完整，系統性介紹R的統計分析功能。
Introduction to Data Science, Data Analysis and Prediction Algorithms with R (Rafael A. Irizarry) 涵蓋面廣，包括，R在統計與資料科學應用
Doing Data Science in R: An Introduction for Social Scientists. (Andrews (2021) Google Book part1 預覽
[出版前原稿、資料集與docker image]。以 tidyverse 進行分析，內容簡潔。
Tidyverse Skills for Data Science (Wright, Ellis, Hicks and Peng)
R Programming for Data Science (Peng) 基礎及進階R指令的詳細說明。
Hands-On Programming with R (Grolemund ) [pdf 1] [pdf 2]R程式基礎寫作
Cookbook for R (Chang)
R For Dummies For Dummies 書系網站的R技巧文章。
R for applied epidemiology and public health | The Epidemiologist R Handbook (epirhandbook.com) 由Applied Epi 組織所編，推廣R在公衛的應用。
Spatial Epi in R | Spatial epidemiology in R (hughst.github.io)
醫學統計學 (wangcc.me) (王超辰 )
R for HR: An Introduction to Human Resource Analytics Using R
Learning statistics with R: A tutorial for psychology students and other beginners. (Version 0.6.1)
swirl 在R軟體中，以互動方式學習R
R語言翻轉教室 swirl 中文化
Interactive web-based data visualization with R, plotly, and shiny
R Software-R統計軟體教學 (吳漢銘) 說明詳細。
資料科學程式設計–進階 (林茂廷) 針對網路資料分析
R資料分析暨導引系統 在網路上以視窗點選方式操作。
Simple R 中文R 的部落格
R Cheat Sheets | DevCheatSheet.com R 快速參考卡集合
R 語言基礎教材 廖尹禎 (DBoy), 孫玉峰 (Summit Suen)
R 語言資料處理 (ETL) 陳嘉葳 (Jiawei), 林鉦育 (aha)
R 語言資料處理 (ETL) 非結構化資料處理 陳嘉葳 (Jiawei), 林鉦育 (aha)
R 資料轉換
R formula
R 繪圖
ggspatial is a framework for interacting with spatial data using ggplot2 as a plotting backend.
gganimate extends the grammar of graphics as implemented by ggplot2 to include the description of animation.
Data Visualization- A practical introduction (Healy 2018 ) 視覺化理論及ggplot2範例
Fundamentals of Data Visualization (Wilke) 視覺化理論及ggplot2範例
clauswilke/dviz.supp R package for the Fundamentals of Data Visualization (Wilke)
现代统计图形 (赵鹏 谢益辉 黄湘云 2021) 視覺化理論及R範例 现代统计图形
經濟資料視覺化處理 林茂廷
Be Awesome in ggplot2: A Practical Guide to be Highly Effective - R software and data visualization
R 程式進階
Advanced R (Wickham)
Advanced R Solutions solutions to the exercises from Hadley Wickham’s Advanced R, 2nd edition
R Packages (Wickham)
Mastering Software Development in R (Peng, Kross & Anderson)
Advanced R Course (Privé) 一些給R進階使用者的提示。
Happy Git and GitHub for the useR 如何使用Github 發展R 程式
R Statistics, Econometrics, Machine Learning & Data Science
Introduction to Econometrics with R ( Hanck, Arnold, Gerber, and Schmelzer ) is an empirical companion to Stock and Watson (2015) Introduction to Econometrics, with embedded R srcipt windows.
Statistical Inference via Data Science- A ModernDive into R and the Tidyverse (Ismay & Kim)
moderndive R Package consists of datasets and functions for tidyverse-friendly introductory linear regressionmoderndive R Package - github
Forecasting: Principles and Practice, 2e (Hyndman & Athanasopoulos)
Introduction to Econometrics with R (Oswald, Robin and Viers ) online text book for Introductory Econometrics
R Package: AER: Applied Econometrics with R is Functions, data sets, examples, demos, and vignettes for the book Kleiber and Zeileis (2008), Applied Econometrics with R
r-spatial.org R Spatial software blogs and ideas
r-spatial · GitHub For packages raster, terra, dismo & geosphere visit the rspatial github organisation
CRAN Task View: Analysis of Spatial Data 和空間相關的R Packages 簡介
CRAN Task View: Handling and Analyzing Spatio-Temporal Data 和時空分析相關的R Packages 簡介
Spatstat for point pattern analysis
spatstat-package: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Analysing spatial point patterns in R, Version 4.1 (Baddeley 2010)
SSAI spatial point pattern course - R course on spatial point patterns hosted by Statistical Society of Australia Inc 017
spdep Spatial Dependence: Weighting Schemes, Statistics
spatialreg: spatial models estimation and testing
spgwr: Geographically Weighted Regression
GWmodel: Geographically-Weighted Models
lctools: local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools
spNetwork A R package to perform spatial analysis on networks
splancs Spatial and Space-Time Point Pattern Analysis (old)
landscapemetrics landscapemetrics: Landscape Metrics for Categorical Map Patterns
tidygeocoder is unified high-level interface for geocoding services.
Geocomputation with R is the online home of Geocomputation with R book
Spatial Data Science (Pebesma and Bivand) aims at data scientists who want to use spatial data in their analysis using R. 有系統的介紹sf等新的geosptail packages.
Spatial Statistics for Data Science: Theory and Practice with R (paulamoraga.com)
Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (paulamoraga.com)
Main repos | mgimond.github.io Manuel Gimond 有關R及空間分析網頁的目錄，
An Introduction to Spatial Data Analysis and Statistics: A Course in R (paezha.github.io)
Making Maps with R (Hahn 2020) 使用tmap, ggplot2, leaflet 等R Pacakge繪製地圖
R companion to Geographic Information Analysis “Geographic Information Analysis” by David O’Sullivan and David J. Unwin (2nd Edition, 2010)
An Introduction to Spatial Data Analysis and Visualisation in R - CDRC Data
Geospatial Analysis in R (Burchfield) by Burchfield
Spatial Analysis in R with Open Geodata(2018) 課程網站
Earth Analytics Course: Learn Data Science | Earth Data Science - Earth Lab
A Crash Course in Geographic Information Systems (GIS) using R (Branion-Calles )
SSAI spatial point pattern course at UWA 2017 講解 spatstat
R tutorial for Spatial Statistics: Introductory Point Pattern Analysis of Open Crime Data in London
An Introduction to Geographically Weighted Regression in R (Dennett 2014)
BurkeyAcademy's GIS & Spatial Econometrics Project 2017-2018
Spatial regression analysis in R (Mendez) 介紹 library(spatialreg) 用法
Spatial Epi in R | Spatial epidemiology in R (hughst.github.io)
Data And Scripts (Matt Peeples)
Introduction to Econometrics with R ( Hanck, Arnold, Gerber, and Schmelzer ) is an empirical companion to Stock and Watson (2015) Introduction to Econometrics, with embedded R srcipt windows.
數量方法 (林茂廷)
Introduction to Econometrics with R (Oswald, Robin and Viers ) online text book for Introductory Econometrics
R Package: AER: Applied Econometrics with R is Functions, data sets, examples, demos, and vignettes for the book Kleiber and Zeileis (2008), Applied Econometrics with R
Web site with book resources of Bivand, Pebesma and Gómez-Rubio ( 2013), Applied Spatial Data Analysis with R
R Package ‘spatialreg’ is a collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep', 'sphet' and 'spse'.
An Introduction to Spatial Econometrics in R (Sarmiento-Barbieri )
EconGeo isa R package to propose user-friendly functions to compute a series of indices commonly used in Economic Geography and Economic Complexity
The Programming Historian Lesson
Python for Data Analysis, 3E (McKinney 2022) ,
第二版 Python for Data Analysis(2017) pdf [ Jffrank/Books (github.com)] [academia.edu]
第二版 GitHub代码：https://github.com/wesm/pydata-book
利用Python进行数据分析 第二版 (2017) 中文翻译笔记 https://github.com/BrambleXu/pydata-notebook
Python for Data Analysis (by Wes McKinney, 2017) - YouTube 中文講解
第一版pdf Python for Data Analysis at (bedford-computing.co.uk)
Polars Lightning-fast DataFrame library
ConnectorX (sfu-db.github.io) load data from databases into Python in the fastest and most memory efficient way.
DuckDB An in-process SQL OLAP database management system
optimus clean, transform, explore and visualize data
Snakemake A framework for reproducible data analysis
PySAL is a cross-platform library of spatial analysis functions written in Python
The PySAL Ecosystem: Philosophy and Implementation -Geographical Analysis ( Rey et al. 2022)
PySAL Notebooks Book s is a compilation of official notebooks demonstrating the functionality of PySAL
pointpats: Point Pattern Analysis in PySAL GitHub: (pointpats)pysal/pointpats
Geographic Data Science with Python (Rey, Arribas-Bel and Wolf 2023.)
splot provides PySAL users with a lightweight visualization interface
GeoDaSpace stand-alone program based on PySAL's spatial econometrics code (spreg API) .
Leafmap a Python package for interactive mapping and geospatial analysis
75+ Geospatial Python and Spatial Data Science Resources and Guides (Matt Forrest)
Scipy 2019 Tutorial - Intermediate Methods for Geospatial Data Analysis
Intro to Geo-Spatial Analysis | Coding for Economists (Turrell )
Spatial Statistics Resources Page by The Spatial Statistics team at Esri
Density toolset—ArcGIS Pro Help (require Spatial Analyst license) (require Spatial Analyst license)
Density toolset—Arc Map Help (require Spatial Analyst license)
Esri Industries ArcGIS 在人文社會領用的應用
R-ArcGIS Bridge 連結R及ArcGIS
CRAN - Package RPyGeo Provides access to ArcGIS geoprocessing tools by building an interface between R and the ArcPy Python
GME | SpatialEcology.Com 用ArcGIS及R所建立的空間分析工具
Hawths Analysis Tools for ArcGIS ArcGIS 9.2 版本用
Temporal Data
Desktop Help 10.0 - Essential temporal data and visualization vocabulary
Temporal data in separate tables-ArcGIS Desktop
Make Query Table (Data Management)-ArcGIS Desktop
JuliaGeo is an organization that contains a number of related Julia projects for manipulating, querying, and processing geospatial geometry data. We aim to provide a common interface between geospatial packages.
SpatialDependence.jl (juliahub.com) is a Julia package for exploratory spatial data analysis (ESDA), including functions for spatial weights matrices creation, testing for spatial dependence (spatial autocorrelation), and choropleth mapping.
RQGIS3 establishes an interface between R and QGIS3, i.e., it allows the user to access QGIS3 functionalities from within R.
QGIS Python Plugins Repository A Processing provider for connecting to the R statistics framework
RQGIS3 establishes an interface between R and QGIS3, i.e., it allows the user to access QGIS3 functionalities from within R.
Davis, A. (2018) Data Wrangling with JavaScript. [Manning Publication 線上電子書]
GWR4 geographically-weighted-regression
CrimeStat is a spatial statistics program for the analysis of crime incident locations.
geographically-weighted-regression on github
FRAGSTATS compute landscape metrics for categorical map patterns