bibliography.bib

@book{Brundsdon2015,
abstract = {R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography' students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical information for researchers collecting and using data with location attached, largely through increased GPS functionality. Brunsdon and Comber take readers from ‘zero to hero' in spatial analysis and mapping through functions they have developed and compiled into R packages. This enables practical R applications in GIS, spatial analyses, spatial statistics, mapping, and web-scraping. Each chapter includes: Example data and commands for exploring it Scripts and coding to exemplify specific functionality Advice for developing greater understanding - through functions such as locator(), View(), and alternative coding to achieve the same ends Self-contained exercises for students to work through Embedded code within the descriptive text. This is a definitive 'how to' that takes students - of any discipline - from coding to actual applications and uses of R.},
address = {London},
author = {{Brundsdon, Chris; Comber}, Lex},
isbn = {9781446272954},
pages = {360},
publisher = {Sage Publications Ltd},
title = {{An Introduction to R for Spatial Analysis {\&} Mapping}},
url = {https://uk.sagepub.com/en-gb/eur/an-introduction-to-r-for-spatial-analysis-and-mapping},
year = {2015}
}
@misc{CodeSchool2016,
author = {Www.codeschool.com},
title = {{tryGit Tutorial}},
url = {https://try.github.io}
}
@misc{Wickham2015,
abstract = {Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. In this section you'll learn how to turn your code into packages that others can easily download and use. Writing a package can seem overwhelming at first. So start with the basics and improve it over time. It doesn't matter if your first version isn't perfect as long as the next version is better.},
author = {Wickham, Hadley},
booktitle = {R packages},
title = {{Git and GitHub}},
url = {http://r-pkgs.had.co.nz/git.html},
year = {2015}
}
@misc{Paulson2016,
author = {Paulson, Josh},
title = {{Version Control with Git and SVN}},
url = {https://support.rstudio.com/hc/en-us/articles/200532077-Version-Control-with-Git-and-SVN},
year = {2016}
}
@misc{Broman,
author = {Broman, Karl},
title = {git/github guid},
url = {http://kbroman.org/github{\_}tutorial/}
}
@article{Brunsdon2015,
author = {Brunsdon, C.},
doi = {10.1177/0309132515599625},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/Brunsdon - 2015 - Quantitative methods I Reproducible research and quantitative geography.pdf:pdf},
isbn = {0309132515599},
issn = {0309-1325},
journal = {Progress in Human Geography},
keywords = {a great deal of,big data,computational paradigm,geocomputation,i reproducibility in research,practical quantitative work in,programming,reproducibility},
title = {{Quantitative methods I: Reproducible research and quantitative geography}},
url = {http://phg.sagepub.com/cgi/doi/10.1177/0309132515599625},
year = {2015}
}
@techreport{Healy2016,
address = {Healy2016},
author = {Healy, Kieran},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/Healy - 2016 - The Plain Person's Guide to Plain Text Social Science.pdf:pdf},
title = {{The Plain Person's Guide to Plain Text Social Science}},
url = {https://kieranhealy.org/publications/plain-person-text},
year = {2016}
}
@article{Leveque2012,
abstract = {This article considers the obstacles involved in creating reproducible computational research as well as some efforts and approaches to overcome them.},
author = {LeVeque, Randall J and Mitchell, Ian M and Stodden, Victoria},
doi = {10.1109/MCSE.2012.38},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/LeVeque, Mitchell, Stodden - 2012 - Reproducible Research for Scientific Computing Tools and Strategies for Changing the Culture.pdf:pdf},
isbn = {1521-9615},
issn = {1521-9615},
journal = {Computing in Science {\&} Engineering},
month = {jul},
number = {4},
pages = {13--17},
pmid = {4125329905357828556},
title = {{Reproducible research for scientific computing: Tools and strategies for changing the culture}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6171147},
volume = {14},
year = {2012}
}
@article{Baker2016,
author = {Baker, Monya},
doi = {10.1038/533452a},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/Baker - 2016 - Is there a reproducibility crisis.pdf:pdf},
issn = {0028-0836},
journal = {Nature},
month = {may},
number = {7604},
pages = {452--454},
title = {1,500 scientists lift the lid on reproducibility},
url = {http://www.nature.com/doifinder/10.1038/533452a},
volume = {533},
year = {2016}
}
@article{Nature2016,
author = {Editorial},
doi = {10.1038/533437a},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/Editorial - 2016 - Reality check on reproducibility.pdf:pdf},
issn = {0028-0836},
journal = {Nature},
month = {may},
number = {7604},
pages = {437--437},
title = {{Reality check on reproducibility}},
url = {http://www.nature.com/doifinder/10.1038/533437a},
volume = {533},
year = {2016}
}
@article{Pebesma2012,
abstract = {Reproducibility is an important aspect of scientific research, because the credibility of science is at stake when research is not reproducible. Like science, the development of good, reliable scientific software is a social process. A mature and growing community relies on the R software environment for carrying out geoscientific research. Here we describe why people use R and how it helps in communicating and reproducing research. R is a multiplatform open-source software environment R Development Core Team, 2012 that implements S, a language designed for data analysis. It provides low-level routines for data management tasks and linear algebra and high-level routines for fitting statistical models or creating complex graphs. The R engine is being developed by a small team called R core. R is extensible, and a set of more than 3500 add-on packages are being actively maintained by a similar number of developers.},
author = {Pebesma, Edzer and N{\"{u}}st, Daniel and Bivand, Roger},
doi = {10.1029/2012EO160003},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/Pebesma, N{\"{u}}st, Bivand - 2012 - The R software environment in reproducible geoscientific research.pdf:pdf},
isbn = {2324-9250},
issn = {00963941},
journal = {Eos, Transactions American Geophysical Union},
month = {apr},
number = {16},
pages = {163--163},
title = {{The R software environment in reproducible geoscientific research}},
url = {http://doi.wiley.com/10.1029/2012EO160003},
volume = {93},
year = {2012}
}
@article{Vandewalle2012,
abstract = {In computational sciences such as image processing, publishing usually isn't enough to allow other researchers to verify results. Often, supplementary materials such as source code and measurement data are required. Yet most researchers choose not to make their code available because of the extra time required to prepare it. Are such efforts actually worthwhile, though?},
author = {Vandewalle, Patrick},
doi = {10.1109/MCSE.2012.63},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/Vandewalle - 2012 - Code sharing is associated with research impact in image processing.pdf:pdf},
isbn = {15219615 (ISSN)},
issn = {1521-9615},
journal = {Computing in Science {\&} Engineering},
keywords = {image processing,reproducibility of results,scientific computing,scientific publishing,software reusability},
month = {jul},
number = {4},
pages = {42--47},
title = {{Code Sharing Is Associated with Research Impact in Image Processing}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6200247},
volume = {14},
year = {2012}
}
@inproceedings{Nuest2011,
abstract = {Advancing Geoinformation Science for a Changing World, Springer Lecture Notes in Geoinformation and Cartography},
author = {N{\"{u}}st, Daniel and Stasch, Christoph and Pebesma, Edzer},
booktitle = {Lecture Notes in Geoinformation and Cartography},
doi = {10.1007/978-3-642-19789-5-12},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/N{\"{u}}st, Stasch, Pebesma - 2011 - Connecting R to the sensor Web.pdf:pdf},
isbn = {9783642197888},
issn = {18632351},
pages = {227--246},
title = {{Connecting R to the sensor Web}},
url = {http://link.springer.com/chapter/10.1007{\%}2F978-3-642-19789-5{\_}12},
year = {2011}
}
@article{Buckheit1995,
abstract = {Wavelab is a library of wavelet-packet analysis, cosine-packet analysis and matching pursuit. The library is available free of charge over the Internet. Versions are provided for Macintosh, UNIX and Windows machines. Wavelab makes available, in one package, all the code to reproduce all the figures in our published wavelet articles. The interested reader can inspect the source code to see exactly what algorithms were used, how parameters were set in producing our figures, and can then modify the source to produce variations on our results. WAVELAB has been developed, in part, because of exhortations by Jon Claerbout of Stanford that computational scientists should engage in “really reproducible” research.},
archivePrefix = {arXiv},
arxivId = {arXiv:1011.1669v3},
author = {Buckheit, Jb and Donoho, Dl},
doi = {10.1007/978-1-4612-2544-7},
eprint = {arXiv:1011.1669v3},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/Buckheit, Donoho - 1995 - WaveLab and Reproducible Research.pdf:pdf},
isbn = {978-0-387-94564-4},
issn = {1098-6596},
journal = {Wavelets and Statistics},
pages = {55--81},
pmid = {25246403},
title = {{WaveLab and Reproducible Research}},
url = {http://link.springer.com/chapter/10.1007/978-1-4612-2544-7{\_}5$\backslash$nhttp://link.springer.com/10.1007/978-1-4612-2544-7},
volume = {103},
year = {1995}
}
@article{Healy2011,
abstract = {I do think, however, that if you're in the early phase of your career as a graduate student in, say, Sociology, or Economics, or Political Science, you should give some thought to how you're going to organize and manage your work. This is so for two reasons. First, the transition to graduate school is a good time to make changes. Early on, there's less inertia and cost associated with switching things around than there will be later. Second, in the social sciences, text and data management skills are usually not taught to students explicitly. This means that you may end up adopting the practices of your advisor or mentor, continue to use what you are taught in your methods classes, or just copy whatever your peers are doing. Following these paths may lead you to an arrangement that you will be happy with. But maybe not. It's worth looking at the options.},
author = {Healy, Kieran},
doi = {10.1093/bib/bbq084.},
file = {:C$\backslash$:/Users/pbereut/Documents/Literatur/Mendeley/Healy - 2011 - Choosing Your Workflow Applications.pdf:pdf},
journal = {The Political Methodologist},
number = {2},
pages = {9--18},
title = {{Choosing Your Workflow Applications}},
url = {https://54.249.169.110/nph-vzh.s/20/http/kieranhealy.org/files/misc/workflow-apps.pdf},
volume = {18},
year = {2011}
}
@article{Mayring2010,
author = {Mayring, Philipp and Fenzl, Thomas},
file = {:Volumes/amichel/PhD/Literature/Methods/Mayring 2010.pdf:pdf},
isbn = {9783531920528},
keywords = {bestimmte variablenindikatoren,f{\"{u}}r auto-,im text fest und,komplexe h{\"{a}}ufigkeitsanalysen setzen theoriegeleitet,psychotherapieproto-,ritarismus entwickelt,sein,so wurden beispielsweise textindikatoren,um beschwerdebriefe auszuwerten oder,z{\"{a}}hlen diese aus},
mendeley-groups = {Methods},
pages = {601--613},
title = {{Qualitative inhaltsanalyse}},
year = {2014}
}