skeleton.bib

@article{rowe_slr20,
  author = {Francisco Rowe},
  title = {Introduction to Statistical Learning in R},
  year = 2020,
  url = {\url{https://fcorowe.github.io/sl/}},
  doi = {10.5281/zenodo.4007043},
}

@book{James_et_al_2013_book,
  title={An introduction to statistical learning},
  author={James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert},
  volume={112},
  year={2013},
  publisher={Springer}
}

@article{Samuel_1959,
  title={Some Studies in Machine Learning Using the Game of Checkers},
  author={Samuel, Arthur},
  journal={IBM Journal of Research and Development},
  volume={44},
  number={},
  pages={206–226},
  year={1959},
  publisher={}
}

@book{Xie_et_al_2019_book,
  title={R Markdown: The Definitive Guide},
  author={Xie, Yihui and
Allaire, JJ and
 Grolemund, Garrett},
  year={2019},
	url = {https://bookdown.org/yihui/rmarkdown/},
  publisher={CRC Press, Taylor & Francis, Chapman & Hall Book}
}


@book{grolemund_wickham_2019_book,
  title={R for Data Science},
  author={Grolemund, Garrett and
	Wickham, Hadley},
  year={2019},
	url = {https://r4ds.had.co.nz},
  publisher={O'Reilly, US}
}

@online{darribas_gds15,
  author = {Dani Arribas-Bel},
  title = {Geographic Data Science'15},
  year = 2016,
  url = {http://darribas.org/gds15},
  urldate = {2016-02-19},
  doi = {10.5281/zenodo.46313}
}

@book{anselin1988spatial,
  title={Spatial econometrics: methods and models},
  author={Anselin, Luc},
  volume={4},
  year={1988},
  publisher={Springer Science \& Business Media}
}

@unpublished{anselin2005spatial,
  title={Spatial Regression Analysis in R--A Workbook},
  author={Anselin, Luc},
  publisher={Center for Spatially Integrated Social Science},
  url={http://csiss.org/GISPopSci/workshops/2011/PSU/readings/W15_Anselin2007.pdf},
  year={2007}
}

@article{anselin2003spatial,
  title={Spatial externalities, spatial multipliers, and spatial econometrics},
  author={Anselin, Luc},
  journal={International regional science review},
  volume={26},
  number={2},
  pages={153--166},
  year={2003},
  publisher={Sage Publications}
}

@article{gibbons2014spatial,
  title={Spatial methods},
  author={Gibbons, Stephen and Overman, Henry G and Patacchini, Eleonora},
  year={2014},
  publisher={CEPR Discussion Paper No. DP10135}
}

@book{anselin2014modern,
  title={Modern spatial econometrics in practice: a guide to GeoDa, GeoDaSpace and PySAL},
  author={Anselin, Luc and Rey, Sergio J.},
  year={2014},
  publisher={GeoDa Press LLC}
}

@book{gelman2006data,
  title={Data analysis using regression and multilevel/hierarchical models},
  author={Gelman, Andrew and Hill, Jennifer},
  year={2006},
  publisher={Cambridge University Press}
}

@article{arribas2014spatial,
  title={Spatial data, analysis, and regression-a mini course},
  author={Arribas-Bel, Dani},
  journal={REGION},
  volume={1},
  number={1},
  pages={R1},
  year={2014},
  publisher={European Regional Science Association},
  url = "http://darribas.org/sdar_mini",
}

@Manual{R-base,
  title = {R: A Language and Environment for Statistical Computing},
  author = {{R Core Team}},
  organization = {R Foundation for Statistical Computing},
  address = {Vienna, Austria},
  year = {2015},
  url = {https://www.R-project.org/},
}

@Manual{R-rmarkdown,
  title = {rmarkdown: Dynamic Documents for R},
  author = {JJ Allaire and Joe Cheng and Yihui Xie and Jonathan McPherson and Winston Chang and Jeff Allen and Hadley Wickham and Aron Atkins and Rob Hyndman},
  year = {2016},
  note = {R package version 0.9.5},
  url = {http://CRAN.R-project.org/package=rmarkdown},
}

@book{bivand2013applied,
  title={Applied Spatial Data Analysis with R},
  author={Bivand, Roger S and Pebesma, Edzer and G{\'o}mez-Rubio, Virgilio},
  year={2013},
  publisher={Springer New York}
}

@book{comber2015,
  title={An introduction to R for spatial analysis & mapping},
  author={Brunsdon, Chris and Comber, Lex},
  year={2015},
  publisher={Sage}
}

@book{banerjee2014hierarchical,
  title={Hierarchical modeling and analysis for spatial data},
  author={Banerjee, Sudipto and Carlin, Bradley P and Gelfand, Alan E},
  year={2014},
  publisher={Crc Press}
}

@book{cressie2015statistics,
  title={Statistics for spatial data},
  author={Cressie, Noel},
  year={2015},
  publisher={John Wiley \& Sons}
}

@article{lovelace2014introduction,
abstract = {This tutorial is an introduction to spatial data in R and map making with R's `base' graphics and the popular graphics package ggplot2. It assumes no prior knowledge of spatial data analysis but prior understanding of the R command line would be beneficial. For people new to R, we recommend working through an `Introduction to R' type tutorial, such as "A (very) short introduction to R" (Torfs and Brauer, 2012) or the more geographically inclined "Short introduction to R" (Harris, 2012). Building on such background material, the following set of exercises is concerned with specific functions for spatial data and visualisation. It is divided into five parts: *Introduction, which provides a guide to R's syntax and preparing for the tutorial *Spatial data in R, which describes basic spatial functions in R *Manipulating spatial data, which includes changing projection, clipping and spatial joins *Map making with ggplot2, a recent graphics package for producing beautiful maps quickly *Taking spatial analysis in R further, a compilation of resources for furthering your skills An up-to-date version of this tutorial is maintained at https://github.com/Robinlovelace/Creating-maps-in-R and the entire tutorial, including the input data can be downloaded as a zip file, as described below. The entire tutorialwas written in RMarkdown, which allows R code to run as the document compiles. Thus all the examples are entirely reproducible. Suggested improvements welcome - please fork, improve and push this document to its original home to ensure its longevity. The tutorial was developed for a series of Short Courses put on by the National Centre for Research Methods, via the TALISMAN node (see geotalisman.org).},
author = {Lovelace, Robin and Cheshire, James},
journal = {National Centre for Research Methods Working Papers},
number = {03},
title = {{Introduction to visualising spatial data in R}},
url = {https://github.com/Robinlovelace/Creating-maps-in-R},
volume = {14},
year = {2014}
}

@unpublished{gds_ua17,
  title = {Geographic Data Science for Urban Analytics},
  author = {Alex Singleton},
  year = {2017},
  note = {Online course},
  url = {http://www.alex-singleton.com/GDS_UA_2017/},
}