@article{hickman_transitions_2011,

series = {Special section on Alternative Travel futures},

title = {Transitions to Low Carbon Transport Futures: Strategic Conversations from {{London}} and {{Delhi}}},

volume = {19},

issn = {0966-6923},

shorttitle = {Transitions to Low Carbon Transport Futures},

doi = {10.1016/j.jtrangeo.2011.03.013},

abstract = {Climate change is a global problem and across the world there are major difficulties being experienced in reducing carbon dioxide (CO2) emissions. The transport sector in particular is finding it difficult to reduce CO2 emissions. This paper reports on two studies carried out by the authors in London (UK) and Delhi (India). It considers the common objectives for transport CO2 reduction, but the very different contexts and baselines, potentials for change, and some possible synergies.

Different packages of measures are selected and scenarios developed for each context which are consistent with contraction and convergence objectives. CO2 reduction potentials are modelled and quantified by package and scenario. London is considering deep reductions on current transport CO2 emission levels; Delhi is seeking to break the huge projected rise in transport CO2 emissions.

The scale of policy intervention required to achieve these goals is huge and there is certainly little public discussion of the magnitude of the changes required. The paper argues for a `strategic conversation' at the city level, using scenario analysis, to discuss the priorities for intervention in delivering low carbon transport futures. A greater focus is required in developing participatory approaches to decision making, alongside network investments, urban planning, low emission vehicles and wider initiatives. Aspirations towards equitable target emissions may assist in setting sufficiently demanding targets. Only then is a wider awareness and ownership of potential carbon efficient transport futures likely to take place.},

number = {6},

journal = {Journal of Transport Geography},

author = {Hickman, Robin and Ashiru, Olu and Banister, David},

month = nov,

year = {2011},

keywords = {City planning,Transport,CO2,Sustainable,London,Delhi},

pages = {1553-1562}

}

@incollection{cheshire_spatial_2015,

title = {Spatial Data Visualisation with {{R}}},

booktitle = {Geocomputation},

publisher = {{SAGE Publications}},

author = {Cheshire, James and Lovelace, Robin},

editor = {Brunsdon, Chris and Singleton, Alex},

year = {2015},

pages = {1--14}

}

@book{lovelace_spatial_2016,

title = {Spatial Microsimulation with {{R}}},

publisher = {{CRC Press}},

author = {Lovelace, Robin and Dumont, Morgane},

year = {2016}

}

@article{kahle_ggmap_2013,

title = {Ggmap: {{Spatial Visualization}} with Ggplot2},

volume = {5},

journal = {The R Journal},

author = {Kahle, D and Wickham, Hadley},

year = {2013},

pages = {144--161}

}

@book{bivand_applied_2013,

title = {Applied Spatial Data Analysis with {{R}}},

volume = {747248717},

publisher = {{Springer}},

author = {Bivand, Roger and Pebesma, Edzer J and {G\'omez-Rubio}, Virgilio},

year = {2013},

keywords = {Science / Earth Sciences / Geography,Science / Environmental Science,Mathematics / Probability \& Statistics / General,Technology \& Engineering / Environmental / General,Medical / Biostatistics,Medical / General}

}

@article{pebesma_classes_2005,

title = {Classes and Methods for Spatial Data in {{R}}},

volume = {5},

number = {2},

journal = {R news},

author = {Pebesma, Edzer J and Bivand, Roger S},

year = {2005},

pages = {9-13}

}

@book{dorman_learning_2014,

title = {Learning {{R}} for {{Geospatial Analysis}}},

publisher = {{Packt Publishing Ltd}},

author = {Dorman, Michael},

year = {2014}

}

@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}

}

@book{gillespie_efficient_2016,

title = {Efficient {{R Programming}}: {{A Practical Guide}} to {{Smarter Programming}}},

isbn = {978-1-4919-5078-4},

publisher = {{O'Reilly Media}},

author = {Gillespie, Colin and Lovelace, Robin},

year = {2016}

}

@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{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}

}

@article{obrien_interactive_2016,

title = {Interactive Mapping for Large, Open Demographic Data Sets Using Familiar Geographical Features},

volume = {12},

issn = {null},

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},

journal = {Journal of Maps},

author = {O'Brien, Oliver and Cheshire, James},

month = aug,

year = {2016},

keywords = {Census,Population,population,census,choropleth,DataShine,interactive,Open data},

pages = {676-683}

}

@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{miller_tobler_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{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},

keywords = {Mathematics / Probability \& Statistics / General,Business \& Economics / Statistics}

}

@article{conrad_system_2015,

title = {System for {{Automated Geoscientific Analyses}} ({{SAGA}}) v. 2.1.4},

volume = {8},

issn = {1991-9603},

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},

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 B\"ohner, J.},

month = jul,

year = {2015},

pages = {1991-2007}

}

@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},

keywords = {Open source,Software,GIS,Analyse,Computerkartographie,GRASS,GRASS (Electronic computer system),Geoinformationssystem,Open source software,Programm,Programmierung,Raster,Vektor,Visualisierung,Geographic information systems},

note = {OCLC: 255568974}

}

@book{wickham_advanced_2014,

title = {Advanced {{R}}},

publisher = {{CRC Press}},

author = {Wickham, Hadley},

year = {2014}

}

@article{muenchow_geomorphic_2012,

title = {Geomorphic Process Rates of Landslides along a Humidity Gradient in the Tropical {{Andes}}},

volume = {139-140},

issn = {0169555X},

doi = {10.1016/j.geomorph.2011.10.029},

language = {en},

journal = {Geomorphology},

author = {Muenchow, Jannes and Brenning, Alexander and Richter, Michael},

month = feb,

year = {2012},

pages = {271-284}

}

@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{bivand_more_2001,

title = {More on {{Spatial Data Analysis}}},

volume = {1},

number = {3},

journal = {R News},

author = {Bivand, Roger},

year = {2001},

pages = {13-17}

}

@book{sherman_desktop_2008,

title = {Desktop {{GIS}}: {{Mapping}} the {{Planet}} with {{Open Source Tools}}},

publisher = {{Pragmatic Bookshelf}},

author = {Sherman, Gary},

year = {2008}

}

@book{baddeley_spatial_2015,

title = {Spatial Point Patterns: Methodology and Applications with {{R}}},

publisher = {{CRC Press}},

author = {Baddeley, Adrian and Rubak, Ege and Turner, Rolf},

year = {2015}

}

@inproceedings{hornik_approaches_2003,

title = {Approaches to {{Classes}} for {{Spatial Data}} in {{R}}},

booktitle = {Proceedings of {{DSC}}},

author = {Bivand, Roger},

editor = {Hornik, Kurt and Leisch, Friedrich and Zeileis, Achim},

year = {2003}

}

@article{harris_more_2017,

title = {More Bark than Bytes? {{Reflections}} on 21+ Years of Geocomputation},

shorttitle = {More Bark than Bytes?},

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},

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}

}

@article{bivand_using_2000,

title = {Using the {{R}} Statistical Data Analysis Language on {{GRASS}} 5.0 {{GIS}} Database Files},

volume = {26},

number = {9},

journal = {Computers \& Geosciences},

author = {Bivand, Roger S.},

year = {2000},

pages = {1043--1052}

}

@book{lamigueiro_displaying_2014,

title = {Displaying Time Series, Spatial, and Space-Time Data with {{R}}},

publisher = {{CRC Press}},

author = {Lamigueiro, \'Oscar Perpi\~n\'an},

year = {2014}

}

@article{bivand_implementing_2000,

title = {Implementing Functions for Spatial Statistical Analysis Using the Language},

volume = {2},

number = {3},

journal = {Journal of Geographical Systems},

author = {Bivand, Roger and Gebhardt, Albrecht},

year = {2000},

pages = {307--317}

}

@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{wieland_market_2017,

title = {Market {{Area Analysis}} for {{Retail}} and {{Service Locations}} with {{MCI}}},

volume = {9},

number = {1},

journal = {The R Journal},

author = {Wieland, Thomas},

year = {2017},

pages = {298-323}

}

@book{majure_sgeostat_2016,

title = {Sgeostat: {{An Object}}-{{Oriented Framework}} for {{Geostatistical Modeling}} in {{S}}+},

author = {Majure, James J. and Gebhardt, Albrecht},

year = {2016}

}

@book{hijmans_geosphere_2016,

title = {Geosphere: {{Spherical Trigonometry}}},

author = {Hijmans, Robert J.},

year = {2016}

}

@book{perpinan_rastervis_2016,

title = {{{rasterVis}}},

author = {Perpi\~n\'an, Oscar and Hijmans, Robert},

year = {2016}

}

@book{brenning_arcgis_2012,

title = {{{ArcGIS Geoprocessing}} in {{R}} via {{Python}}},

author = {Brenning, Alexander},

year = {2012}

}

@article{bivand_comparing_2015,

title = {Comparing {{Implementations}} of {{Estimation Methods}} for {{Spatial Econometrics}}},

volume = {63},

number = {18},

journal = {Journal of Statistical Software},

author = {Bivand, Roger and Piras, Gianfranco},

year = {2015},

pages = {1--36}

}

@book{bivand_rgrass7_2016,

title = {Rgrass7: {{Interface Between GRASS}} 7 {{Geographical Information System}} and {{R}}},

author = {Bivand, Roger},

year = {2016}

}

@book{bivand_spgrass6_2016,

title = {Spgrass6: {{Interface}} between {{GRASS}} 6 and {{R}}},

author = {Bivand, Roger},

year = {2016}

}

@book{venables_modern_2002,

address = {New York},

edition = {Fourth},

title = {Modern {{Applied Statistics}} with {{S}}},

publisher = {{Springer}},

author = {Venables, W. N. and Ripley, B. D.},

year = {2002}

}

@book{jr_geor_2016,

title = {{{geoR}}: {{Analysis}} of {{Geostatistical Data}}},

author = {Jr, Paulo J. Ribeiro and Diggle, Peter J.},

year = {2016}

}

@book{rowlingson_splancs_2017,

title = {Splancs: {{Spatial}} and {{Space}}-{{Time Point Pattern Analysis}}},

author = {Rowlingson, Barry and Diggle, Peter},

year = {2017}

}

@book{akima_akima_2016,

title = {Akima: {{Interpolation}} of {{Irregularly}} and {{Regularly Spaced Data}}},

author = {Akima, Hiroshi and Gebhardt, Albrecht},

year = {2016}

}

@article{rowlingson_splancs_1993,

title = {Splancs: {{Spatial}} Point Pattern Analysis Code in {{S}}-Plus},

volume = {19},

issn = {0098-3004},

shorttitle = {Splancs},

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},

journal = {Computers \& Geosciences},

author = {Rowlingson, B. S and Diggle, P. J},

month = may,

year = {1993},

keywords = {Epidemiology,Software,Geographical Information Systems,Spatial statistics,Geomorphology},

pages = {627-655}

}

@book{longley_geographic_2015,

address = {Hoboken, NJ},

edition = {Fourth edition},

title = {Geographic Information Science \& Systems},

isbn = {978-1-118-67695-0},

lccn = {G70.212 .L658 2015},

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},

keywords = {Technology \& Engineering / Remote Sensing \& Geographic Information Systems,Geographic information systems}

}

@book{garrard_geoprocessing_2016,

address = {Shelter Island, NY},

title = {Geoprocessing with {{Python}}},

isbn = {978-1-61729-214-9},

lccn = {GA102.4.E4 G37 2016},

publisher = {{Manning Publications}},

author = {Garrard, Chris},

year = {2016},

keywords = {Geospatial data,Cartography,Computer programs,Data processing,Python (Computer program language)},

note = {OCLC: ocn915498655}

}

@book{bivand_spdep_2017,

title = {Spdep: {{Spatial Dependence}}: {{Weighting Schemes}}, {{Statistics}} and {{Models}}},

author = {Bivand, Roger},

year = {2017}

}

@book{bivand_maptools_2017,

title = {Maptools: {{Tools}} for {{Reading}} and {{Handling Spatial Objects}}},

author = {Bivand, Roger and {Lewin-Koh}, Nicholas},

year = {2017}

}

@article{tobler_smooth_1979,

title = {Smooth {{Pycnophylactic Interpolation}} for {{Geographical Regions}}},

volume = {74},

issn = {0162-1459, 1537-274X},

doi = {10.1080/01621459.1979.10481647},

language = {en},

number = {367},

journal = {Journal of the American Statistical Association},

author = {Tobler, Waldo R.},

month = sep,

year = {1979},

pages = {519-530}

}

@article{qiu_development_2012,

title = {The {{Development}} of an {{Areal Interpolation ArcGIS Extension}} and a {{Comparative Study}}},

volume = {49},

issn = {1548-1603},

doi = {10.2747/1548-1603.49.5.644},

number = {5},

journal = {GIScience \& Remote Sensing},

author = {Qiu, Fang and Zhang, Caiyun and Zhou, Yuhong},

month = sep,

year = {2012},

pages = {644-663}

}

@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},

lccn = {QA76.73.J38 W6615 2002},

publisher = {{Taylor \& Francis}},

author = {Wood, Jo},

year = {2002},

keywords = {Geographic information systems,Java (Computer program language)}

}

@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{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},

lccn = {Q143.H9 W85 2015},

shorttitle = {The Invention of Nature},

publisher = {{Alfred A. Knopf}},

author = {Wulf, Andrea},

year = {2015},

keywords = {Germany,Humboldt; Alexander von,Naturalists,Scientists}

}

@inproceedings{rowlingson_rasp:_2003,

title = {Rasp: {{A Package}} for {{Spatial Statistics}}},

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},

editors = {Kurt Hornik and Friedrich Leisch and Achim Zeileis}

}

@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\textasciiacute{}Reilly}},

author = {Brzustowicz, Michael R.},

year = {2017},

keywords = {Data Mining,Java (Computer program language),Data mining Software,Datenanalyse,Java},

note = {OCLC: 993428657}

}

@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},

number = {12},

journal = {Biological invasions},

author = {Krug, Rainer M. and {Roura-Pascual}, N\'uria and Richardson, David M.},

year = {2010},

pages = {4099--4112}

}

@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},

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~\texttimes{}~4~m plots on the fog-exposed southern slope of the mountain Mong\'on. 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},

journal = {Biotropica},

author = {Muenchow, Jannes and Br\"auning, Achim and Rodr\'iguez, Eric Frank and {von Wehrden}, Henrik},

month = sep,

year = {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}

}

@book{tomlin_geographic_1990,

address = {Englewood Cliffs, N.J},

title = {Geographic Information Systems and Cartographic Modeling},

isbn = {978-0-13-350927-4},

lccn = {G70.2 .T64 1990},

publisher = {{Prentice Hall}},

author = {Tomlin, C. Dana},

year = {1990},

keywords = {Cartography,Data processing,Geographic information systems}

}

@article{pebesma_measurement_2016,

title = {Measurement {{Units}} in {{R}}},

volume = {8},

number = {2},

journal = {The R Journal},

author = {Pebesma, Edzer and Mailund, Thomas and Hiebert, James},

month = dec,

year = {2016},

pages = {486-494}

}

@book{burrough_principles_2015,

address = {Oxford ; New York},

edition = {Third edition},

title = {Principles of Geographical Information Systems},

isbn = {978-0-19-874284-5},

lccn = {G70.212 .B87 2015},

publisher = {{Oxford University Press}},

author = {Burrough, P. A. and McDonnell, Rachael and Lloyd, Christopher D.},

year = {2015},

keywords = {Geographic information systems},

note = {OCLC: ocn915100245}

}

@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},

lccn = {G70.4 .L583 2009},

publisher = {{Wiley-Blackwell}},

author = {Liu, Jian-Guo and Mason, Philippa J.},

year = {2009},

keywords = {Geographic information systems,Earth (Planet),Image processing,Remote sensing,Surface Remote sensing}

}

@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},

doi = {10.1017/S0266467413000436},

language = {en},

number = {05},

journal = {Journal of Tropical Ecology},

author = {Muenchow, Jannes and Hauenstein, Simon and Br\"auning, Achim and B\"aumler, Rupert and Rodr\'iguez, Eric Frank and {von Wehrden}, Henrik},

month = sep,

year = {2013},

pages = {427-438}

}

@article{muenchow_rqgis:_2017,

title = {{{RQGIS}}: {{Integrating R}} with {{QGIS}} for Statistical Geocomputing},

volume = {9},

number = {2},

journal = {The R Journal},

author = {Muenchow, Jannes and Schratz, Patrick and Brenning, Alexander},

year = {2017},

pages = {409-428}

}

@book{usgs_geological_2016,

title = {U.{{S}}. {{Geological Survey}} ({{USGS}}) {{Earth Resources Observation}} and {{Science}} ({{EROS}}) {{Center}}},

author = {{USGS}},

year = {2016}

}

@inproceedings{bivand_open_2000,

title = {Open Source Geocomputation: Using the {{R}} Data Analysis Language Integrated with {{GRASS GIS}} and {{PostgreSQL}} Data Base Systems},

booktitle = {Proceedings of the 5th {{International Conference}} on {{GeoComputation}}},

author = {Bivand, Roger and Neteler, Markus},

editor = {Neteler, Markus and Bivand, Roger S.},

year = {2000}

}

@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},

number = {3},

journal = {Area},

author = {Tomintz, Melanie N M.N. and Clarke, Graham P and Rigby, Janette E J.E.},

year = {2008},

keywords = {microsimulation,location-allocation,health geography,geography of smoking,modelling,stop smoking services},

pages = {341--353}

}

@article{loidl_spatial_2016,

title = {Spatial Patterns and Temporal Dynamics of Urban Bicycle Crashes\textemdash{{A}} Case Study from {{Salzburg}} ({{Austria}})},

volume = {52},

issn = {0966-6923},

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 \textendash{} most of the time \textendash{} 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},

journal = {Journal of Transport Geography},

author = {Loidl, Martin and Traun, Christoph and Wallentin, Gudrun},

month = apr,

year = {2016},

keywords = {Bicycle crashes,Exploratory analysis,Spatial and temporal dynamics},

pages = {38-50}

}

@article{pebesma_r_2012,

title = {The {{R}} Software Environment in Reproducible Geoscientific Research},

volume = {93},

issn = {2324-9250},

doi = {10.1029/2012EO160003},

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.},

language = {en},

number = {16},

journal = {Eos, Transactions American Geophysical Union},

author = {Pebesma, Edzer and N\"ust, Daniel and Bivand, Roger},

month = apr,

year = {2012},

keywords = {R project,reproducible research,0520 Data analysis: algorithms and implementation,0530 Data presentation and visualization,1694 Instruments and techniques,1819 Hydrology: Geographic Information Systems (GIS),1978 Software re-use},

pages = {163-163}

}

@book{nolan_xml_2014,

address = {New York, NY},

series = {Use R!},

title = {{{XML}} and Web Technologies for Data Sciences with {{R}}},

isbn = {978-1-4614-7900-0 978-1-4614-7899-7},

abstract = {Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Web pages and JavaScript code, and visualization formats such as SVG and KML for Google Earth and Google Maps. In addition, scientists use HTTP and other network protocols to scrape data from Web pages, access REST and SOAP Web Services, and interact with NoSQL databases and text search applications. This book provides a practical hands-on introduction to these technologies, including high-level functions the authors have developed for data scientists. It describes strategies and approaches for extracting data from HTML, XML, and JSON formats and how to programmatically access data from the Web. Along with these general skills, the authors illustrate several applications that are relevant to data scientists, such as reading and writing spreadsheet documents both locally and via GoogleDocs, creating interactive and dynamic visualizations, displaying spatial-temporal displays with Google Earth, and generating code from descriptions of data structures to read and write data. These topics demonstrate the rich possibilities and opportunities to do new things with these modern technologies. The book contains many examples and case-studies that readers can use directly and adapt to their own work},

language = {eng},

publisher = {{Springer}},

author = {Nolan, Deborah and Lang, Duncan Temple},

year = {2014},

note = {OCLC: 841520665}

}

@book{venables_introduction_2017,

title = {An {{Introduction}} to {{R}}. {{Notes}} on {{R}}: {{A Programming Environment}} for {{Data Analysis}} and {{Graphics}}},

abstract = {An Introduction to R is based on the former `Notes on R', gives an introduction to the language and how to use R for doing statistical analysis and graphics.},

author = {Venables, W.N. and Smith, D.M. and R Core Team},

year = {2017}

}

@article{huff_probabilistic_1963,

title = {A {{Probabilistic Analysis}} of {{Shopping Center Trade Areas}}},

volume = {39},

issn = {0023-7639},

doi = {10.2307/3144521},

number = {1},

journal = {Land Economics},

author = {Huff, David L.},

year = {1963},

pages = {81-90}

}

@book{rodrigue_geography_2013,

address = {London ; New York},

edition = {3 edition},

title = {The {{Geography}} of {{Transport Systems}}},

isbn = {978-0-415-82254-1},

language = {English},

publisher = {{Routledge}},

author = {Rodrigue, Jean-Paul and Comtois, Claude and Slack, Brian},

month = jun,

year = {2013}

}

@article{moreno-monroy_public_2017,

title = {Public Transport and School Location Impacts on Educational Inequalities: {{Insights}} from {{S\~ao Paulo}}},

issn = {0966-6923},

shorttitle = {Public Transport and School Location Impacts on Educational Inequalities},

doi = {10.1016/j.jtrangeo.2017.08.012},

abstract = {In many large Latin American urban areas such as the S\~ao Paulo Metropolitan Region (SPMR), growing social and economic inequalities are embedded through high spatial inequality in the provision of state schools and affordable public transport to these schools. This paper sheds light on the transport-education inequality nexus with reference to school accessibility by public transport in the SPMR. To assess school accessibility, we develop an accessibility index which combines information on the spatial distribution of adolescents, the location of existing schools, and the public transport provision serving the school catchment area into a single measure. The index is used to measure school accessibility locally across 633 areas within the SPMR. We use the index to simulate the impact of a policy aiming at increasing the centralisation of public secondary education provision, and find that it negatively affects public transport accessibility for students with the lowest levels of accessibility. These results illustrate how existing inequalities can be amplified by variable accessibility to schools across income groups and geographical space. The research suggests that educational inequality impacts of school agglomeration policies should be considered before centralisation takes place.},

journal = {Journal of Transport Geography},

author = {{Moreno-Monroy}, Ana I. and Lovelace, Robin and Ramos, Frederico R.},

month = sep,

year = {2017},

keywords = {Schools,Accessibility,Public transport,Latin America,Inequality}

}

@article{savric_projection_2016,

title = {Projection {{Wizard}} \textendash{} {{An Online Map Projection Selection Tool}}},

volume = {53},

doi = {10.1080/00087041.2015.1131938},

number = {2},

journal = {The Cartographic Journal},

author = {{\v S}avri{\v c}, Bojan and Jenny, Bernhard and Jenny, Helen},

year = {2016},

pages = {177-185}

}

@article{lovelace_propensity_2017,

title = {The {{Propensity}} to {{Cycle Tool}}: {{An}} Open Source Online System for Sustainable Transport Planning},

volume = {10},

copyright = {Copyright (c) 2016 Robin Lovelace, Anna Goodman, Rachel Aldred, Nikolai Berkoff, Ali Abbas, James Woodcock},

issn = {1938-7849},

shorttitle = {The {{Propensity}} to {{Cycle Tool}}},

doi = {10.5198/jtlu.2016.862},

abstract = {Getting people cycling is an increasingly common objective in transport planning institutions worldwide. A growing evidence base indicates that high quality infrastructure can boost local cycling rates. Yet for infrastructure and other cycling measures to be effective, it is important to intervene in the right places, such as along `desire lines' of high latent demand. This creates the need for tools and methods to help answer the question `where to build?'. Following a brief review of the policy and research context related to this question, this paper describes the design, features and potential applications of such a tool. The Propensity to Cycle Tool (PCT) is an online, interactive planning support system that was initially developed to explore and map cycling potential across England (see www.pct.bike). Based on origin-destination data it models cycling levels at area, desire line, route and route network levels, for current levels of cycling, and for scenario-based `cycling futures.' Four scenarios are presented, including `Go Dutch' and `Ebikes,' which explore what would happen if English people had the same propensity to cycle as Dutch people and the potential impact of electric cycles on cycling uptake. The cost effectiveness of investment depends not only on the number of additional trips cycled, but on wider impacts such as health and carbon benefits. The PCT reports these at area, desire line, and route level for each scenario. The PCT is open source, facilitating the creation of scenarios and deployment in new contexts. We conclude that the PCT illustrates the potential of online tools to inform transport decisions and raises the wider issue of how models should be used in transport planning.},

language = {en},

number = {1},

journal = {Journal of Transport and Land Use},

author = {Lovelace, Robin and Goodman, Anna and Aldred, Rachel and Berkoff, Nikolai and Abbas, Ali and Woodcock, James},

month = jan,

year = {2017},

keywords = {Planning,Cycling,modelling,Participatory}

}

@incollection{jenny_guide_2017,

title = {A Guide to Selecting Map Projections for World and Hemisphere Maps},

booktitle = {Choosing a {{Map Projection}}},

publisher = {{Springer}},

author = {Jenny, Bernhard and {\v S}avri{\v c}, Bojan and Arnold, Nicholas D and Marston, Brooke E and Preppernau, Charles A},

editor = {Lapaine, Miljenko and Usery, Lynn},

year = {2017},

pages = {213--228}

}

@incollection{dillon_lomas_2003,

address = {Chicago},

title = {The {{Lomas}} Formations of Coastal {{Peru}}: {{Composition}} and Biogeographic History},

booktitle = {El {{Ni\~no}} in {{Peru}}: {{Biology}} and Culture over 10,000 Years},

publisher = {{Field Museum of Natural History}},

author = {Dillon, M. O. and Nakazawa, M. and Leiva, S. G.},

editor = {Haas, J. and Dillon, M. O.},

year = {2003},

pages = {1-9}

}

@book{borcard_numerical_2011,

address = {New York},

series = {Use R!},

title = {Numerical Ecology with {{R}}},

isbn = {978-1-4419-7975-9},

lccn = {QH541.15.S72 B67 2011},

publisher = {{Springer}},

author = {Borcard, Daniel and Gillet, Fran{\c c}ois and Legendre, Pierre},

year = {2011},

keywords = {R (Computer program language),Ecology,Data processing,Statistical methods},

note = {OCLC: ocn690089213}

}

@article{goetz_evaluating_2015,

title = {Evaluating Machine Learning and Statistical Prediction Techniques for Landslide Susceptibility Modeling},

volume = {81},

issn = {00983004},

doi = {10.1016/j.cageo.2015.04.007},

language = {en},

journal = {Computers \& Geosciences},

author = {Goetz, J.N. and Brenning, A. and Petschko, H. and Leopold, P.},

month = aug,

year = {2015},

pages = {1-11}

}

@inproceedings{brenning_spatial_2012,

title = {Spatial Cross-Validation and Bootstrap for the Assessment of Prediction Rules in Remote Sensing: {{The R}} Package Sperrorest},

isbn = {978-1-4673-1159-5 978-1-4673-1160-1 978-1-4673-1158-8},

shorttitle = {Spatial Cross-Validation and Bootstrap for the Assessment of Prediction Rules in Remote Sensing},

doi = {10.1109/IGARSS.2012.6352393},

publisher = {{IEEE}},

author = {Brenning, Alexander},

month = jul,

year = {2012},

pages = {5372-5375}

}

@article{muenchow_review_2018,

title = {A Review of Ecological Gradient Research in the {{Tropics}}: Identifying Research Gaps, Future Directions, and Conservation Priorities},

volume = {27},

issn = {0960-3115, 1572-9710},

shorttitle = {A Review of Ecological Gradient Research in the {{Tropics}}},

doi = {10.1007/s10531-017-1465-y},

language = {en},

number = {2},

journal = {Biodiversity and Conservation},

author = {Muenchow, Jannes and Dieker, Petra and Kluge, J\"urgen and Kessler, Michael and {von Wehrden}, Henrik},

year = {2018},

pages = {273-285}

}

@book{maling_coordinate_1992,

address = {Oxford ; New York},

edition = {2nd ed},

title = {Coordinate Systems and Map Projections},

isbn = {978-0-08-037234-1},

lccn = {GA110 .M32 1992},

publisher = {{Pergamon Press}},

author = {Maling, D. H.},

year = {1992},

keywords = {Grids (Cartography),Map projection}

}

@article{coombes_efficient_1986,

title = {An {{Efficient Algorithm}} to {{Generate Official Statistical Reporting Areas}}: {{The Case}} of the 1984 {{Travel}}-to-{{Work Areas Revision}} in {{Britain}}},

volume = {37},

issn = {01605682},

shorttitle = {An {{Efficient Algorithm}} to {{Generate Official Statistical Reporting Areas}}},

doi = {10.2307/2582282},

number = {10},

journal = {The Journal of the Operational Research Society},

author = {Coombes, M. G. and Green, A. E. and Openshaw, S.},

month = oct,

year = {1986},

pages = {943}

}

@techreport{bristol_city_council_deprivation_2015,

title = {Deprivation in {{Bristol}} 2015},

institution = {{Bristol City Council}},

author = {{Bristol City Council}},

year = {2015}

}

@book{hollander_transport_2016,

title = {Transport {{Modelling}} for a {{Complete Beginner}}},

isbn = {978-0-9956624-1-4},

abstract = {Finally! A book about transport modelling which doesn't require any previous knowledge. "Transport modelling for a complete beginner" explains the basics of transport modelling in a simple language, with lots of silly drawings, and without using any mathematics. Click here to watch a 3-minute introductory video (or search for the book name on YouTube if the link doesn't show). ~ This book is aimed at transport planners, town planners, students in transport-related courses, policy advisors, economists, project managers, property developers, investors, politicians, journalists, and anyone else who wants to understand the process of making decisions on transport infrastructure. It is suitable for readers in any country.~ ~ The book is split into two parts. The first part is about the principles of transport modelling. This part talks about travel demand, transport networks, zones, trip matrices, the value of time, trip generation, mode split, destination choice, model calibration \textendash{} lots of scary words that need explaining in order to understand the role of models in the assessment of transport projects. All modes of transport are covered: cars, buses, trains, trucks, taxis, walking, cycling and others. Hot air balloons may be the only transport mode that is hardly mentioned.~ ~ The second part of the book covers more strategic issues. It talks about the culture of transport modelling, including the management of transport modelling work, the way model outputs are communicated, and the professional environment where this is done. This part of the book also contains an honest discussion of common modelling practices which should be recommended and others which should not.~ ~ ``Transport modelling for a complete beginner'' will help you ensure that anything you do with a transport model remains fair, effective and based on real evidence.},

language = {English},

publisher = {{CTthink!}},

author = {Hollander, Yaron},

month = dec,

year = {2016}

}

@book{horni_multi-agent_2016,

title = {The {{Multi}}-{{Agent Transport Simulation MATSim}}},

isbn = {978-1-909188-77-8 978-1-909188-75-4 978-1-909188-78-5 978-1-909188-76-1},

abstract = {The MATSim (Multi-Agent Transport Simulation) software project was started around 2006 with the goal of generating traffic and congestion patterns by following individual synthetic travelers through their daily or weekly activity programme. It has since then evolved from a collection of stand-alone C++ programs to an integrated Java-based framework which is publicly hosted, open-source available, automatically regression tested. It is currently used by about 40 groups throughout the world. This book takes stock of the current status.},

language = {en},

publisher = {{Ubiquity Press}},

author = {Horni, Andreas and Nagel, Kai and Axhausen, Kay W.},

month = aug,

year = {2016}

}

@article{jafari_investigation_2015,

title = {Investigation of {{Centroid Connector Placement}} for {{Advanced Traffic Assignment Models}} with {{Added Network Detail}}},

volume = {2498},

issn = {0361-1981},

doi = {10.3141/2498-03},

language = {en},

journal = {Transportation Research Record: Journal of the Transportation Research Board},

author = {Jafari, Ehsan and Gemar, Mason D. and Juri, Natalia Ruiz and Duthie, Jennifer},

month = jun,

year = {2015},

pages = {19-26}

}

@article{douglas_algorithms_1973,

title = {Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or Its Caricature},

volume = {10},

number = {2},

journal = {Cartographica: The International Journal for Geographic Information and Geovisualization},

author = {Douglas, David H and Peucker, Thomas K},

year = {1973},

pages = {112--122}

}

@article{tallon_bristol_2007,

title = {Bristol},

volume = {24},

issn = {02642751},

doi = {10.1016/j.cities.2006.10.004},

language = {en},

number = {1},

journal = {Cities},

author = {Tallon, Andrew R.},

month = feb,

year = {2007},

pages = {74-88}

}

@article{visvalingam_line_1993,

title = {Line Generalisation by Repeated Elimination of Points},

volume = {30},

issn = {0008-7041, 1743-2774},

doi = {10.1179/000870493786962263},

language = {en},

number = {1},

journal = {The Cartographic Journal},

author = {Visvalingam, M. and Whyatt, J. D.},

month = jun,

year = {1993},

pages = {46-51}

}

@article{thiele_r_2014,

title = {R {{Marries NetLogo}}: {{Introduction}} to the {{RNetLogo Package}}},

volume = {58},

number = {2},

journal = {Journal of Statistical Software},

author = {Thiele, J},

year = {2014},

pages = {1--41}

}

@misc{office_for_national_statistics_workplace_2014,

title = {Workplace {{Zones}}: {{A}} New Geography for Workplace Statistics - {{Datasets}}},

howpublished = {https://data.gov.uk/dataset/workplace-zones-a-new-geography-for-workplace-statistics3},

author = {{Office for National Statistics}},

year = {2014}

}

@article{coppock_history_1991,

title = {The History of {{GIS}}},

volume = {1},

abstract = {Coppock, J. T., and Rhind, D. W. 1991. The History of GIS. In Geographical Information Systems: Principles and Applications, vol. 1, ed. D. J. Maguire, M. F. Goodchild, and D. W. Rhind, pp. 21-43. New York: John Wiley and Sons.},

number = {1},

journal = {Geographical Information Systems: Principles and Applications, vol. 1.},

author = {Coppock, J Terry and Rhind, David W},

year = {1991},

keywords = {History of GIS},

pages = {21--43}

}

@book{james_introduction_2013,

address = {New York},

series = {Springer texts in statistics},

title = {An Introduction to Statistical Learning: With Applications in {{R}}},

isbn = {978-1-4614-7137-0},

lccn = {QA276 .I585 2013},

shorttitle = {An Introduction to Statistical Learning},

number = {103},

publisher = {{Springer}},

editor = {James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert},

year = {2013},

keywords = {R (Computer program language),Statistics,Mathematical models,Mathematical statistics},

note = {OCLC: ocn828488009}

}

@article{schratz_performance_nodate,

title = {Performance Evaluation and Hyperparameter Tuning of Statistical and Machine-Learning Models Using Spatial Data},

journal = {tba},

author = {Schratz, Patrick and Muenchow, J. and Iturritxa, Eugenia and Richter, Jakob and Brenning, A.},

year = {2018}

}

@book{talbert_ancient_2014,