refs.bib

@article{wickham_split-apply-combine_2011,
	title = {The {Split}-{Apply}-{Combine} {Strategy} for {Data} {Analysis}},
	volume = {40},
	issn = {1548-7660},
	url = {http://www.jstatsoft.org/v40/i01/},
	doi = {10.18637/jss.v040.i01},
	language = {en},
	number = {1},
	urldate = {2017-10-20},
	journal = {Journal of Statistical Software},
	author = {Wickham, Hadley},
	year = {2011}
}

@article{pebesma_classes_2005,
	title = {Classes and methods for spatial data in {R}},
	volume = {5},
	url = {https://CRAN.R-project.org/doc/Rnews/},
	number = {2},
	journal = {R News},
	author = {Pebesma, Edzer J. and Bivand, Roger S.},
	month = nov,
	year = {2005},
	pages = {9--13}
}

@article{loidl_spatial_2016,
	title = {Spatial patterns and temporal dynamics of urban bicycle crashes—{A} case study from {Salzburg} ({Austria})},
	volume = {52},
	issn = {0966-6923},
	url = {http://www.sciencedirect.com/science/article/pii/S0966692316000302},
	doi = {10.1016/j.jtrangeo.2016.02.008},
	abstract = {Most bicycle crash analyses are designed as explanatory studies. They aim to identify contributing risk factors and calculate risk rates based on – most of the time – highly aggregated statistical data. In contrast to such explanatory study designs, the presented study follows an exploratory approach, focusing on the absolute number of crashes. The aim is to reveal and describe patterns and dynamics of urban bicycle crashes on various spatial scale levels and temporal resolutions through a multi-stage workflow. Spatial units are delineated in the network space and serve as initial units of aggregation. In order to facilitate comparisons among regions and quantify temporal dynamics, a reference value of crash frequency is simulated for each unit of the respective spatial scale level and temporal resolution. For the presented case study, over 3000 geo-coded bicycle crashes in the city of Salzburg (Austria) were analyzed. The data set covers 10years and comprises all bicycle crashes reported by the police. Distinct spatial and temporal patterns with clusters, seasonal variations, and regional particularities could be revealed. These insights are indicators for urban dynamics in the transport system and allow for further, targeted in-depth analyses and subsequent counter measures. Moreover, the results prove the applicability of the proposed multi-stage workflow and demonstrate the added value of analyses of small aggregates on various scale levels, down to single crashes, and temporal resolutions.},
	number = {Supplement C},
	urldate = {2017-10-18},
	journal = {Journal of Transport Geography},
	author = {Loidl, Martin and Traun, Christoph and Wallentin, Gudrun},
	month = apr,
	year = {2016},
	note = {bibtex: loidl\_spatial\_2016},
	keywords = {Bicycle crashes, Exploratory analysis, Spatial and temporal dynamics},
	pages = {38--50}
}

@article{tomintz_geography_2008,
	title = {The geography of smoking in {Leeds}: estimating individual smoking rates and the implications for the location of stop smoking services},
	volume = {40},
	url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1475-4762.2008.00837.x/full},
	number = {3},
	journal = {Area},
	author = {Tomintz, Melanie N M.N. and Clarke, Graham P and Rigby, Janette E J.E.},
	year = {2008},
	note = {bibtex: tomintz\_geography\_2008},
	keywords = {geography of smoking, health geography, location-allocation, microsimulation, modelling, stop smoking services},
	pages = {341--353}
}

@inproceedings{bivand_open_2000,
	title = {Open source geocomputation: using the {R} data analysis language integrated with {GRASS} {GIS} and {PostgreSQL} data base systems},
	url = {http://www.geocomputation.org/2000/GC009/Gc009.htm},
	booktitle = {Proceedings of the 5th {International} {Conference} on {GeoComputation}},
	author = {Bivand, Roger and Neteler, Markus},
	editor = {Neteler, Markus and Bivand, Roger S.},
	year = {2000},
	note = {bibtex: bivand2000open}
}

@book{usgs_u.s._2016,
	title = {U.{S}. {Geological} {Survey} ({USGS}) {Earth} {Resources} {Observation} and {Science} ({EROS}) {Center}},
	url = {http://earthexplorer.usgs.gov/},
	author = {{USGS}},
	year = {2016},
	note = {bibtex: usgs\_u.s.\_2016}
}

@article{muenchow_rqgis:_2017,
	title = {{RQGIS}: {Integrating} {R} with {QGIS} for statistical geocomputing},
	journal = {R Journal},
	author = {Muenchow, Jannes and Schratz, Patrick and Brenning, Alexander},
	year = {2017},
	note = {bibtex: muenchow\_rqgis:\_????}
}

@article{muenchow_soil_2013,
	title = {Soil texture and altitude, respectively, largely determine the floristic gradient of the most diverse fog oasis in the {Peruvian} desert},
	volume = {29},
	issn = {0266-4674, 1469-7831},
	url = {http://www.journals.cambridge.org/abstract_S0266467413000436},
	doi = {10.1017/S0266467413000436},
	language = {en},
	number = {05},
	urldate = {2017-09-21},
	journal = {Journal of Tropical Ecology},
	author = {Muenchow, Jannes and Hauenstein, Simon and Bräuning, Achim and Bäumler, Rupert and Rodríguez, Eric Frank and von Wehrden, Henrik},
	month = sep,
	year = {2013},
	note = {bibtex: muenchow\_soil\_2013},
	pages = {427--438}
}

@book{liu_essential_2009,
	address = {Chichester, West Sussex, UK ; Hoboken, NJ},
	title = {Essential image processing and {GIS} for remote sensing},
	isbn = {978-0-470-51032-2 978-0-470-51031-5},
	publisher = {Wiley-Blackwell},
	author = {Liu, Jian-Guo and Mason, Philippa J.},
	year = {2009},
	note = {bibtex: liu\_essential\_2009},
	keywords = {Earth (Planet), Geographic information systems, Image processing, Remote sensing, Surface Remote sensing}
}

@book{burrough_principles_2015,
	address = {Oxford ; New York},
	edition = {Third edition},
	title = {Principles of geographical information systems},
	isbn = {978-0-19-874284-5},
	publisher = {Oxford University Press},
	author = {Burrough, P. A. and McDonnell, Rachael and Lloyd, Christopher D.},
	year = {2015},
	note = {OCLC: ocn915100245 
bibtex: burrough\_principles\_2015},
	keywords = {Geographic information systems}
}

@article{pebesma_measurement_2016,
	title = {Measurement {Units} in {R}},
	volume = {8},
	url = {https://journal.r-project.org/archive/2016-2/pebesma-mailund-hiebert.pdf},
	number = {2},
	journal = {The R Journal},
	author = {Pebesma, Edzer and Mailund, Thomas and Hiebert, James},
	month = dec,
	year = {2016},
	note = {bibtex: units},
	pages = {486--494}
}

@book{tomlin_geographic_1990,
	address = {Englewood Cliffs, N.J},
	title = {Geographic information systems and cartographic modeling},
	isbn = {978-0-13-350927-4},
	publisher = {Prentice Hall},
	author = {Tomlin, C. Dana},
	year = {1990},
	note = {bibtex: tomlin\_geographic\_1990},
	keywords = {Cartography, Data processing, Geographic information systems}
}

@article{muenchow_predictive_2013,
	title = {Predictive {Mapping} of {Species} {Richness} and {Plant} {Species}' {Distributions} of a {Peruvian} {Fog} {Oasis} {Along} an {Altitudinal} {Gradient}},
	volume = {45},
	issn = {1744-7429},
	url = {http://onlinelibrary.wiley.com/doi/10.1111/btp.12049/abstract},
	doi = {10.1111/btp.12049},
	abstract = {Tropical arid to semi-arid ecosystems are nearly as diverse as more humid forests and occupy large parts of the tropics. In comparison, however, they are vastly understudied. For instance, fog precipitation alone supports a unique vegetation formation, locally termed lomas, on coastal mountains in the Peruvian desert. To effectively protect these highly endemic and threatened ecosystems, we must increase our understanding of their diversity patterns in relation to environmental factors. Consequently, we recorded all vascular species from 100 random 4 × 4 m plots on the fog-exposed southern slope of the mountain Mongón. We used topographic and remotely sensed covariates in statistical models to generate spatial predictions of alpha diversity and plant species' distribution probabilities. Altitude was the most important predictor in all models and may represent fog moisture levels. Other significant covariates in the models most likely refer also to water availability but on a finer spatial scale. Additionally, model-based clustering revealed five altitudinal vegetation zones. This study contributes to a better spatial understanding of the biodiversity and spatial arrangement of vegetation belts of the largely unknown but highly unique lomas formations. Furthermore, mapping species richness and plant species' distributions could support a long-needed lomas strategic conservation scheme.},
	language = {en},
	number = {5},
	urldate = {2017-08-28},
	journal = {Biotropica},
	author = {Muenchow, Jannes and Bräuning, Achim and Rodríguez, Eric Frank and von Wehrden, Henrik},
	month = sep,
	year = {2013},
	note = {bibtex: muenchow\_predictive\_2013},
	keywords = {El Niño Southern Oscillation (ENSO), La Niña, biodiversity conservation, climatic gradient, lomas, species distribution models, species richness model, tropical plant diversity},
	pages = {557--566}
}

@article{krug_clearing_2010,
	title = {Clearing of invasive alien plants under different budget scenarios: using a simulation model to test efficiency},
	volume = {12},
	shorttitle = {Clearing of invasive alien plants under different budget scenarios},
	url = {http://link.springer.com/article/10.1007/s10530-010-9827-3},
	number = {12},
	urldate = {2017-08-24},
	journal = {Biological invasions},
	author = {Krug, Rainer M. and Roura-Pascual, Núria and Richardson, David M.},
	year = {2010},
	pages = {4099--4112}
}

@book{brzustowicz_data_2017,
	address = {Beijing Boston Farnham},
	edition = {First edition},
	title = {Data science with {Java}: [practical methods for scientists and engineers]},
	isbn = {978-1-4919-3411-1},
	shorttitle = {Data science with {Java}},
	language = {eng},
	publisher = {O´Reilly},
	author = {Brzustowicz, Michael R.},
	year = {2017},
	note = {OCLC: 993428657},
	keywords = {Data Mining, Data mining Software, Datenanalyse, Java, Java (Computer program language)}
}

@inproceedings{rowlingson_rasp:_2003,
	title = {Rasp: {A} {Package} for {Spatial} {Statistics}},
	url = {https://www.r-project.org/conferences/DSC-2003/Proceedings/RowlingsonEtAl.pdf},
	booktitle = {Proceedings of the 3rd {International} {Workshop} on {Distributed} {Statistical} {Computing}},
	author = {Rowlingson, Barry and Baddeley, Adrian and Turner, Rolf and Diggle, Peter},
	editor = {Hornik, Kurt},
	year = {2003},
	note = {bibtex: rowlingson\_2003 
bibtex[editors=Kurt Hornik and Friedrich Leisch and Achim Zeileis]}
}

@book{wulf_invention_2015,
	address = {New York},
	edition = {First American Edition},
	title = {The invention of nature: {Alexander} von {Humboldt}'s new world},
	isbn = {978-0-385-35066-2 978-0-345-80629-1},
	shorttitle = {The invention of nature},
	publisher = {Alfred A. Knopf},
	author = {Wulf, Andrea},
	year = {2015},
	keywords = {Germany, Humboldt, Alexander von, Naturalists, Scientists}
}

@book{livingstone_geographical_1992,
	address = {Oxford, UK ; Cambridge, USA},
	title = {The {Geographical} {Tradition}: {Episodes} in the {History} of a {Contested} {Enterprise}},
	isbn = {978-0-631-18586-4},
	shorttitle = {The {Geographical} {Tradition}},
	abstract = {The Geographical Tradition  presents the history of an essentially contested tradition. By examining a series of key episodes in geography′s history since 1400, Livingstone argues that the messy contingencies of history are to be preferred to the manufactured idealizations of the standard chronicles. Throughout, the development of geographical thought and practice is portrayed against the background of the broader social and intellectual contexts of the times. Among the topics investigated are geography during the Age of Reconnaissance, the Scientific Revolution and The Englightenment; subsequently geography′s relationships with Darwinism, imperialism, regionalism, and quantification are elaborated.},
	language = {English},
	publisher = {John Wiley \& Sons Ltd},
	author = {Livingstone, David N.},
	month = dec,
	year = {1992}
}

@book{wood_java_2002,
	address = {London ; New York},
	title = {Java programming for spatial sciences},
	isbn = {978-0-415-26097-8 978-0-415-26098-5},
	publisher = {Taylor \& Francis},
	author = {Wood, Jo},
	year = {2002},
	note = {bibtex: wood\_java\_2002},
	keywords = {Geographic information systems, Java (Computer program language)}
}

@article{qiu_development_2012,
	title = {The {Development} of an {Areal} {Interpolation} {ArcGIS} {Extension} and a {Comparative} {Study}},
	volume = {49},
	issn = {1548-1603},
	url = {http://bellwether.metapress.com/openurl.asp?genre=article&id=doi:10.2747/1548-1603.49.5.644},
	doi = {10.2747/1548-1603.49.5.644},
	number = {5},
	urldate = {2017-08-07},
	journal = {GIScience \& Remote Sensing},
	author = {Qiu, Fang and Zhang, Caiyun and Zhou, Yuhong},
	month = sep,
	year = {2012},
	pages = {644--663}
}

@article{tobler_smooth_1979,
	title = {Smooth {Pycnophylactic} {Interpolation} for {Geographical} {Regions}},
	volume = {74},
	issn = {0162-1459, 1537-274X},
	url = {http://www.tandfonline.com/doi/abs/10.1080/01621459.1979.10481647},
	doi = {10.1080/01621459.1979.10481647},
	language = {en},
	number = {367},
	urldate = {2017-08-07},
	journal = {Journal of the American Statistical Association},
	author = {Tobler, Waldo R.},
	month = sep,
	year = {1979},
	pages = {519--530}
}

@book{bivand_spdep:_2017,
	title = {spdep: {Spatial} {Dependence}: {Weighting} {Schemes}, {Statistics} and {Models}},
	url = {https://CRAN.R-project.org/package=spdep},
	author = {Bivand, Roger},
	year = {2017}
}

@book{bivand_maptools:_2017,
	title = {maptools: {Tools} for {Reading} and {Handling} {Spatial} {Objects}},
	url = {https://CRAN.R-project.org/package=maptools},
	author = {Bivand, Roger and Lewin-Koh, Nicholas},
	year = {2017}
}

@book{garrard_geoprocessing_2016,
	address = {Shelter Island, NY},
	title = {Geoprocessing {With} {Python}},
	isbn = {978-1-61729-214-9},
	publisher = {Manning Publications},
	author = {Garrard, Chris},
	year = {2016},
	note = {OCLC: ocn915498655 
bibtex: garrard\_geoprocessing\_2016},
	keywords = {Cartography, Computer programs, Data processing, Geospatial data, Python (Computer program language)}
}

@book{longley_geographic_2015,
	address = {Hoboken, NJ},
	edition = {Fourth edition},
	title = {Geographic information science \& systems},
	isbn = {978-1-118-67695-0},
	abstract = {"Effective use of today's powerful GIS technology requires an understanding of the science of problem-solving that underpins it. Since the first edition published over a decade ago, this book has led the way, with its focus on the scientific principles that support GIS usage. It has also provided thorough, upto- date coverage of GIS procedures, techniques and public policy applications. This unique combination of science, technology and practical problem solving has made this book a best-seller across a broad spectrum of disciplines. This fully updated 4th edition continues to deliver on these strengths"--},
	publisher = {Wiley},
	author = {Longley, Paul},
	year = {2015},
	note = {bibtex: longley\_geographic\_2015},
	keywords = {Geographic information systems, Technology \& Engineering / Remote Sensing \& Geographic Information Systems}
}

@article{rowlingson_splancs:_1993,
	title = {Splancs: {Spatial} point pattern analysis code in {S}-plus},
	volume = {19},
	issn = {0098-3004},
	shorttitle = {Splancs},
	url = {http://www.sciencedirect.com/science/article/pii/009830049390099Q},
	doi = {10.1016/0098-3004(93)90099-Q},
	abstract = {In recent years, Geographical Information Systems have provided researchers in many fields with facilities for mapping and analyzing spatially referenced data. Commercial systems have excellent facilities for database handling and a range of spatial operations. However, none can claim to be a rich environment for statistical analysis of spatial data. We have made some powerful enhancements to the S-Plus system to produce a tool for display and analysis of spatial point pattern data. In this paper we give a brief introduction to the S-Plus system and a detailed description of the S-Plus enhancements. We then present three worked examples: two from geomorphology and one from epidemiology.},
	number = {5},
	urldate = {2017-07-20},
	journal = {Computers \& Geosciences},
	author = {Rowlingson, B. S and Diggle, P. J},
	month = may,
	year = {1993},
	keywords = {Epidemiology, Geographical Information Systems, Geomorphology, Software, Spatial statistics},
	pages = {627--655}
}

@book{brenning_arcgis_2012,
	title = {{ArcGIS} {Geoprocessing} in {R} via {Python}},
	url = {https://CRAN.R-project.org/package=RPyGeo},
	author = {Brenning, Alexander},
	year = {2012}
}

@book{bivand_spgrass6:_2016,
	title = {spgrass6: {Interface} between {GRASS} 6 and {R}},
	url = {http://CRAN.R-project.org/package=spgrass6},
	author = {Bivand, Roger},
	year = {2016}
}

@article{bivand_comparing_2015,
	title = {Comparing {Implementations} of {Estimation} {Methods} for {Spatial} {Econometrics}},
	volume = {63},
	url = {http://www.jstatsoft.org/v63/i18/},
	number = {18},
	journal = {Journal of Statistical Software},
	author = {Bivand, Roger and Piras, Gianfranco},
	year = {2015},
	pages = {1--36}
}

@book{baddeley_spatial_2015,
	address = {London},
	title = {Spatial {Point} {Patterns}: {Methodology} and {Applications} with {R}},
	url = {http://www.crcpress.com/Spatial-Point-Patterns-Methodology-and-Applications-with-R/Baddeley-Rubak-Turner/9781482210200/},
	publisher = {Chapman and Hall/CRC Press},
	author = {Baddeley, Adrian and Rubak, Ege and Turner, Rolf},
	year = {2015}
}

@book{rowlingson_splancs:_2017,
	title = {splancs: {Spatial} and {Space}-{Time} {Point} {Pattern} {Analysis}},
	url = {https://CRAN.R-project.org/package=splancs},
	author = {Rowlingson, Barry and Diggle, Peter},
	year = {2017}
}

@book{venables_modern_2002,
	address = {New York},
	edition = {Fourth},
	title = {Modern {Applied} {Statistics} with {S}},
	url = {http://www.stats.ox.ac.uk/pub/MASS4},
	publisher = {Springer},
	author = {Venables, W. N. and Ripley, B. D.},
	year = {2002}
}

@book{university_sgeostat:_2016,
	title = {sgeostat: {An} {Object}-{Oriented} {Framework} for {Geostatistical} {Modeling} in {S}+},
	url = {https://CRAN.R-project.org/package=sgeostat},
	author = {University, S. original by James J. Majure Iowa State and Gebhardt, R. port + extensions by Albrecht},
	year = {2016}
}

@book{bivand_rgrass7:_2016,
	title = {rgrass7: {Interface} {Between} {GRASS} 7 {Geographical} {Information} {System} and {R}},
	url = {https://CRAN.R-project.org/package=rgrass7},
	author = {Bivand, Roger},
	year = {2016}
}

@book{perpinan_rastervis_2016,
	title = {{rasterVis}},
	url = {http://oscarperpinan.github.io/rastervis/},
	author = {Perpiñán, Oscar and Hijmans, Robert},
	year = {2016}
}

@article{kahle_ggmap:_2013,
	title = {ggmap: {Spatial} {Visualization} with ggplot2},
	volume = {5},
	url = {http://journal.r-project.org/archive/2013-1/kahle-wickham.pdf},
	number = {1},
	journal = {The R Journal},
	author = {Kahle, David and Wickham, Hadley},
	year = {2013},
	pages = {144--161}
}

@book{hijmans_geosphere:_2016,
	title = {geosphere: {Spherical} {Trigonometry}},
	url = {https://CRAN.R-project.org/package=geosphere},
	author = {Hijmans, Robert J.},
	year = {2016}
}

@book{jr_geor:_2016,
	title = {{geoR}: {Analysis} of {Geostatistical} {Data}},
	url = {https://CRAN.R-project.org/package=geoR},
	author = {Jr, Paulo J. Ribeiro and Diggle, Peter J.},
	year = {2016}
}

@book{akima_akima:_2016,
	title = {akima: {Interpolation} of {Irregularly} and {Regularly} {Spaced} {Data}},
	url = {https://CRAN.R-project.org/package=akima},
	author = {Akima, Hiroshi and Gebhardt, Albrecht},
	year = {2016}
}

@article{calenge_package_2006,
	title = {The package adehabitat for the {R} software: tool for the analysis of space and habitat use by animals},
	volume = {197},
	journal = {Ecological Modelling},
	author = {Calenge, C.},
	year = {2006},
	pages = {1035}
}

@article{wieland_market_2017,
	title = {Market {Area} {Analysis} for {Retail} and {Service} {Locations} with {MCI}},
	volume = {9},
	url = {https://journal.r-project.org/archive/2017/RJ-2017-020/index.html},
	number = {1},
	journal = {The R Journal},
	author = {Wieland, Thomas},
	year = {2017},
	note = {bibtex: RJ-2017-020},
	pages = {298--323}
}

@book{brunsdon_introduction_2015,
	address = {Los Angeles},
	edition = {1 edition},
	title = {An {Introduction} to {R} for {Spatial} {Analysis} and {Mapping}},
	isbn = {978-1-4462-7295-4},
	abstract = {"In an age of big data, data journalism and with a wealth of quantitative information around us, it is not enough for students to be taught only 100 year old statistical methods using 'out of the box' software. They need to have 21st-century analytical skills too. This is an excellent and student-friendly text from two of the world leaders in the teaching and development of spatial analysis. It shows clearly why the open source software R is not just an alternative to commercial GIS, it may actually be the better choice for mapping, analysis and for replicable research. Providing practical tips as well as fully working code, this is a practical 'how to' guide ideal for undergraduates as well as those using R for the first time. It will be required reading on my own courses." - Richard Harris, Professor of Quantitative Social Science, University of Bristol  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.},
	language = {English},
	publisher = {SAGE Publications Ltd},
	author = {Brunsdon, Chris and Comber, Lex},
	month = feb,
	year = {2015}
}

@article{bivand_implementing_2000,
	title = {Implementing functions for spatial statistical analysis using the language},
	volume = {2},
	url = {http://www.springerlink.com/index/CJRPUMB78JUYH54W.pdf},
	number = {3},
	urldate = {2017-07-12},
	journal = {Journal of Geographical Systems},
	author = {Bivand, Roger and Gebhardt, Albrecht},
	year = {2000},
	pages = {307--317}
}

@book{lamigueiro_displaying_2014,
	title = {Displaying time series, spatial, and space-time data with {R}},
	publisher = {CRC Press},
	author = {Lamigueiro, Óscar Perpiñán},
	year = {2014}
}

@article{bivand_using_2000,
	title = {Using the {R} statistical data analysis language on {GRASS} 5.0 {GIS} database files},
	volume = {26},
	url = {http://www.sciencedirect.com/science/article/pii/S0098300400000571},
	number = {9},
	urldate = {2017-07-11},
	journal = {Computers \& Geosciences},
	author = {Bivand, Roger S.},
	year = {2000},
	pages = {1043--1052}
}

@article{harris_more_2017,
	title = {More bark than bytes? {Reflections} on 21+ years of geocomputation},
	shorttitle = {More bark than bytes?},
	url = {http://journals.sagepub.com/eprint/w8cyKwmUSwrQ9KDrJABu/full},
	doi = {10.1177/2399808317710132},
	abstract = {This year marks the 21st anniversary of the International GeoComputation Conference Series. To celebrate the occasion, Environment and Planning B invited some members of the geocomputational community to reflect on its achievements, some of the unrealised potential, and to identify some of the on-going challenges.},
	language = {en},
	urldate = {2017-07-10},
	journal = {Environment and Planning B: Urban Analytics and City Science},
	author = {Harris, Richard and O’Sullivan, David and Gahegan, Mark and Charlton, Martin and Comber, Lex and Longley, Paul and Brunsdon, Chris and Malleson, Nick and Heppenstall, Alison and Singleton, Alex and Arribas-Bel, Daniel and Evans, Andy},
	month = jul,
	year = {2017}
}

@inproceedings{hornik_approaches_2003,
	title = {Approaches to {Classes} for {Spatial} {Data} in {R}},
	url = {https://www.r-project.org/nosvn/conferences/DSC-2003/Proceedings/Bivand.pdf},
	urldate = {2017-06-27},
	booktitle = {Proceedings of {DSC}},
	author = {Bivand, Roger},
	editor = {Hornik, Kurt and Leisch, Friedrich and Zeileis, Achim},
	year = {2003},
	note = {bibtex: hornik\_approaches\_2003}
}

@book{baddeley_spatial_2015-1,
	title = {Spatial point patterns: methodology and applications with {R}},
	publisher = {CRC Press},
	author = {Baddeley, Adrian and Rubak, Ege and Turner, Rolf},
	year = {2015}
}

@book{sherman_desktop_2008,
	title = {Desktop {GIS}: {Mapping} the {Planet} with {Open} {Source} {Tools}},
	publisher = {Pragmatic Bookshelf},
	author = {Sherman, Gary},
	year = {2008}
}

@article{bivand_more_2001,
	title = {More on {Spatial} {Data} {Analysis}},
	volume = {1},
	number = {3},
	journal = {R News},
	author = {Bivand, Roger},
	year = {2001},
	pages = {13--17}
}

@article{ripley_spatial_2001,
	title = {Spatial {Statistics} in {R}},
	volume = {1},
	number = {2},
	journal = {R News},
	author = {Ripley, Brian D},
	year = {2001},
	pages = {14--15}
}

@article{muenchow_geomorphic_2012,
	title = {Geomorphic process rates of landslides along a humidity gradient in the tropical {Andes}},
	volume = {139-140},
	issn = {0169555X},
	url = {http://linkinghub.elsevier.com/retrieve/pii/S0169555X11005551},
	doi = {10.1016/j.geomorph.2011.10.029},
	language = {en},
	urldate = {2017-06-23},
	journal = {Geomorphology},
	author = {Muenchow, J. and Brenning, A. and Richter, M.},
	month = feb,
	year = {2012},
	pages = {271--284}
}

@book{wickham_advanced_2014,
	title = {Advanced {R}},
	url = {http://www.crcpress.com/product/isbn/9781466586963 http://adv-r.had.co.nz http://www.crcpress.com/product/isbn/9781466586963 http://adv-r.had.co.nz},
	publisher = {CRC Press},
	author = {Wickham, Hadley},
	year = {2014}
}

@article{graser_processing:_2015,
	title = {Processing: {A} {Python} {Framework} for the {Seamless} {Integration} of {Geoprocessing} {Tools} in {QGIS}},
	volume = {4},
	issn = {2220-9964},
	shorttitle = {Processing},
	url = {http://www.mdpi.com/2220-9964/4/4/2219/},
	doi = {10.3390/ijgi4042219},
	language = {en},
	number = {4},
	urldate = {2017-06-12},
	journal = {ISPRS International Journal of Geo-Information},
	author = {Graser, Anita and Olaya, Victor},
	month = oct,
	year = {2015},
	pages = {2219--2245}
}

@book{neteler_open_2008,
	address = {New York, NY},
	edition = {3. ed},
	title = {Open source {GIS}: a {GRASS} {GIS} approach},
	isbn = {978-0-387-35767-6 978-0-387-68574-8},
	shorttitle = {Open source {GIS}},
	language = {eng},
	publisher = {Springer},
	author = {Neteler, Markus and Mitasova, Helena},
	year = {2008},
	note = {OCLC: 255568974 
bibtex: neteler\_open\_2008},
	keywords = {Analyse, Computerkartographie, GIS, GRASS, GRASS (Electronic computer system), Geographic information systems, Geoinformationssystem, Open source, Open source software, Programm, Programmierung, Raster, Software, Vektor, Visualisierung}
}

@article{conrad_system_2015,
	title = {System for {Automated} {Geoscientific} {Analyses} ({SAGA}) v. 2.1.4},
	volume = {8},
	issn = {1991-9603},
	url = {http://www.geosci-model-dev.net/8/1991/2015/},
	doi = {10.5194/gmd-8-1991-2015},
	abstract = {The System for Automated Geoscientific Analyses (SAGA) is an open source geographic information system (GIS), mainly licensed under the GNU General Public License. Since its first release in 2004, SAGA has rapidly developed from a specialized tool for digital terrain analysis to a comprehensive and globally established GIS platform for scientific analysis and modeling. SAGA is coded in C++ in an object oriented design and runs under several operating systems including Windows and Linux. Key functional features of the modular software architecture comprise an application programming interface for the development and implementation of new geoscientific methods, a user friendly graphical user interface with many visualization options, a command line interpreter, and interfaces to interpreted languages like R and Python. The current version 2.1.4 offers more than 600 tools, which are implemented in dynamically loadable libraries or shared objects and represent the broad scopes of SAGA in numerous fields of geoscientific endeavor and beyond. In this paper, we inform about the system's architecture, functionality, and its current state of development and implementation. Furthermore, we highlight the wide spectrum of scientific applications of SAGA in a review of published studies, with special emphasis on the core application areas digital terrain analysis, geomorphology, soil science, climatology and meteorology, as well as remote sensing.},
	number = {7},
	urldate = {2017-06-12},
	journal = {Geosci. Model Dev.},
	author = {Conrad, O. and Bechtel, B. and Bock, M. and Dietrich, H. and Fischer, E. and Gerlitz, L. and Wehberg, J. and Wichmann, V. and Böhner, J.},
	month = jul,
	year = {2015},
	pages = {1991--2007}
}

@book{chambers_extending_2016,
	title = {Extending {R}},
	isbn = {978-1-4987-7572-4},
	abstract = {Up-to-Date Guidance from One of the Foremost Members of the R Core Team  Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides programming guidance for projects of all scales, and introduces new, valuable techniques that extend R.  The book first describes the fundamental characteristics and background of R, giving readers a foundation for the remainder of the text. It next discusses topics relevant to programming with R, including the apparatus that supports extensions. The book then extends R’s data structures through object-oriented programming, which is the key technique for coping with complexity. The book also incorporates a new structure for interfaces applicable to a variety of languages.  A reflection of what R is today, this guide explains how to design and organize extensions to R by correctly using objects, functions, and interfaces. It enables current and future users to add their own contributions and packages to R.},
	language = {en},
	publisher = {CRC Press},
	author = {Chambers, John M.},
	month = jun,
	year = {2016},
	note = {Google-Books-ID: kxxjDAAAQBAJ},
	keywords = {Business \& Economics / Statistics, Mathematics / Probability \& Statistics / General}
}

@article{miller_toblers_2004,
	title = {Tobler's first law and spatial analysis},
	volume = {94},
	abstract = {Discusses Tobler's First Law of (TFL) Geography, that everything is related to everything else, but near things are more related than distant things. Relatonships between two geographic entities; TFL as the core of spatial autocorrelation statistics; Quantitative techniques for analyzing correlation relative to distance or connectivity relationships.},
	number = {2},
	journal = {Annals of the Association of American Geographers},
	author = {Miller, Harvey J.},
	year = {2004}
}

@book{openshaw_geocomputation_2000,
	address = {London ; New York},
	edition = {1 edition},
	title = {Geocomputation},
	isbn = {978-0-7484-0900-6},
	abstract = {Geocomputation is essentially the follow-on revolution from Geographic Information Science and is expected to gather speed and momentum in the first decade of the 21st century. It comes into use once a GIS database has been set up, with a digital data library, and expanded and linked to a global geographical two or three dimensional co-ordinate system. It exploits developments in IT and new data gathering and earth observing technologies, and takes the notion of GIS beyond data and towards its analysis, modelling, and use in problem solving. This book provides pointers on how to harness these technologies in tandem and in the context of multiple different subjects and problem areas. It seeks to establish the principles and set the foundations for subsequent growth.L},
	language = {English},
	publisher = {CRC Press},
	editor = {Openshaw, Stan and Abrahart, Robert J.},
	month = may,
	year = {2000}
}

@book{longley_geocomputation:_1998,
	address = {Chichester, Eng. ; New York},
	edition = {1 edition},
	title = {Geocomputation: {A} {Primer}},
	isbn = {978-0-471-98576-1},
	shorttitle = {Geocomputation},
	abstract = {Geocomputation A Primer edited by Paul A Longley Sue M Brooks Rachael McDonnell School of Geographical Sciences, University of Bristol, UK and Bill Macmillan School of Geography, University of Oxford, UK This book encompasses all that is new in geocomputation. It is also a primer - that is, a book which sets out the foundations and scope of this important emergent area from the same contemporary perspective. The catalyst to the emergence of geocomputation is the new and creative application of computers to devise and depict digital representations of the Earth's surface. The environment for geocomputation is provided by geographical information systems (GIS), yet geocomputation is much more than GIS. Geocomputation is a blend of research-led applications which emphasise process over form, dynamics over statics, and interaction over passive response. This book presents a timely blend of current research and practice, written by the leading figures in the field. It provides insights to a new and rapidly developing area, and identifies the key foundations to future developments. It should be read by all who seek to use geocomputational methods for solving real world problems.},
	language = {English},
	publisher = {Wiley},
	editor = {Longley, Paul A. and Brooks, Sue M. and McDonnell, Rachael and MacMillan, Bill},
	month = oct,
	year = {1998}
}

@article{obrien_interactive_2016,
	title = {Interactive mapping for large, open demographic data sets using familiar geographical features},
	volume = {12},
	issn = {null},
	url = {http://dx.doi.org/10.1080/17445647.2015.1060183},
	doi = {10.1080/17445647.2015.1060183},
	abstract = {Ever-increasing numbers of large demographic data sets are becoming available. Many of these data sets are provided as open data, but are in basic repositories where it is incumbent on the user to generate their own visualisations and analysis in order to garner insights. In a bid to facilitate the use and exploration of such data sets, we have created a web mapping platform called DataShine. We link data from the 2011 Census for England and Wales with open geographical data to demonstrate the power and utility of creating a conventional map and combining it with a simple but flexible interface and a highly detailed demographic data set.},
	number = {4},
	urldate = {2017-05-22},
	journal = {Journal of Maps},
	author = {O'Brien, Oliver and Cheshire, James},
	month = aug,
	year = {2016},
	keywords = {Census, DataShine, DataShine, Open data, Open data, Population, census, choropleth, choropleth, interactive, interactive, population},
	pages = {676--683}
}

@book{grolemund_r_2016,
	edition = {1 edition},
	title = {R for {Data} {Science}},
	isbn = {978-1-4919-1039-9},
	language = {English},
	publisher = {O'Reilly Media},
	author = {Grolemund, Garrett and Wickham, Hadley},
	month = jul,
	year = {2016}
}

@book{gillespie_efficient_2016,
	title = {Efficient {R} {Programming}: {A} {Practical} {Guide} to {Smarter} {Programming}},
	isbn = {978-1-4919-5078-4},
	url = {https://csgillespie.github.io/efficientR/},
	publisher = {O'Reilly Media},
	author = {Gillespie, Colin and Lovelace, Robin},
	year = {2016}
}

@book{brunsdon_introduction_2015-1,
	title = {An introduction to {R} for spatial analysis \& mapping},
	isbn = {1-4462-7294-X},
	publisher = {Sage},
	author = {Brunsdon, Chris and Comber, Lex},
	year = {2015}
}

@book{dorman_learning_2014,
	title = {Learning {R} for {Geospatial} {Analysis}},
	publisher = {Packt Publishing Ltd},
	author = {Dorman, Michael},
	year = {2014}
}

@book{roller_eratosthenes_2010,
	title = {Eratosthenes' "{Geography}"},
	isbn = {0-691-14267-X},
	url = {http://books.google.co.uk/books?id=8peKyWK_SWsC},
	abstract = {This is the first modern edition and first English translation of one of the earliest and most important works in the history of geography, the third-century Geographika of Eratosthenes. In this work, which for the first time described the geography of the entire inhabited world as it was then known, Eratosthenes of Kyrene (ca. 285-205 BC) invented the discipline of geography as we understand it. A polymath who served as librarian at Alexandria and tutor to the future King Ptolemy IV, Eratosthenes created the terminology of geography, probably including the word geographia itself. Building on his previous work, in which he determined the size and shape of the earth, Eratosthenes in the Geographika created a grid of parallels and meridians that linked together every place in the world: for the first time one could figure out the relationship and distance between remote localities, such as northwest Africa and the Caspian Sea. The Geographika also identified some four hundred places, more than ever before, from Thoule (probably Iceland) to Taprobane (Sri Lanka), and from well down the coast of Africa to Central Asia. This is the first collation of the more than 150 fragments of the Geographika in more than a century. Each fragment is accompanied by an English translation, a summary, and commentary. Duane W. Roller provides a rich background, including a history of the text and its reception, a biography of Eratosthenes, and a comprehensive account of ancient Greek geographical thought and of Eratosthenes' pioneering contribution to it. This edition also includes maps that show all of the known places named in the Geographika, appendixes, a bibliography, and indexes.},
	language = {en},
	publisher = {Princeton University Press},
	author = {Roller, D.},
	month = jan,
	year = {2010},
	keywords = {History / Ancient / General, History / Ancient / Greece, History / Historical Geography, Science / History, Travel / Essays \& Travelogues}
}

@book{bivand_applied_2013,
	title = {Applied spatial data analysis with {R}},
	volume = {747248717},
	publisher = {Springer},
	author = {Bivand, Roger and Pebesma, Edzer J and Gómez-Rubio, Virgilio},
	year = {2013}
}