References

References

Ans88

Luc Anselin. Spatial Econometrics: Methods and Models. Springer Netherlands, 1988. ISBN 9789401577991. URL: http://dx.doi.org/10.1007/978-94-015-7799-1, doi:10.1007/978-94-015-7799-1.

Ans95

Luc Anselin. Local indicators of spatial association-LISA. Geographical Analysis, 27(2):93–115, 1995.

Ans02

Luc Anselin. Under the hood issues in the specification and interpretation of spatial regression models. Agricultural Economics, 27(3):247–267, Nov 2002. URL: http://dx.doi.org/10.1111/j.1574-0862.2002.tb00120.x, doi:10.1111/j.1574-0862.2002.tb00120.x.

Ans03

Luc Anselin. Spatial externalities, spatial multipliers, and spatial econometrics. International Regional Science Review, 26(2):153–166, Apr 2003. URL: http://dx.doi.org/10.1177/0160017602250972, doi:10.1177/0160017602250972.

AR14

Luc Anselin and Sergio J. Rey. Modern spatial econometrics in practice: A guide to GeoDa, GeoDaSpace, and PySAL. GeoDa Press, 2014.

ADKP10

Irani Arraiz, David M. Drukker, Harry H. Kelejian, and Ingmar R. Prucha. A spatial Cliff-Ord-type model with heteroskedastic innovations: Small and large sample results. Journal of Regional Science, 50(2):592–614, 2010.

BRT15

Adrian Baddeley, Ege Rubak, and Rolf Turner. Spatial point patterns: methodology and applications with R. CRC press, 2015.

BGFS08

Sudipto Banerjee, Alan E. Gelfand, Andrew O. Finley, and Huiyan Sang. Gaussian predictive process models for large spatial data sets. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70(4):825–848, Sep 2008. URL: http://dx.doi.org/10.1111/j.1467-9868.2008.00663.x, doi:10.1111/j.1467-9868.2008.00663.x.

Ber64

Brian J L Berry. Approaches to regional analysis: a synthesis. Annals of the Association of American Geographers, 54:2–11, 1964.

BAB20

Geoff Boeing and Dani Arribas-Bel. Gis and computational notebooks. In John P. Wilson, editor, The Geographic Information Science & Technology Body of Knowledge (1st Quarter 2021 Edition). University Consortium for Geographic Information Science, 2020. doi:10.22224/gistbok/2021.1.2.

BCK+15

K Bollen, J Cacioppo, R Kaplan, Jon Krosnick, and James Olds. Social, Behaviorial, and Economic Sciences: Perspectives on Robust and Reliable Science. Technical Report, National Science Foundation, Arlington, VA, 2015.

Box76

George E P Box. Science and statistics. Journal of the American Statistical Association, 71(356):791–799, 1976. doi:10/108001621459.1976.10480949.

BMPH97

Cynthia A Brewer, Alan M MacEachren, Linda W Pickle, and Douglas Herrmann. Mapping mortality: evaluating color schemes for choropleth maps. Annals of the Association of American Geographers, 87(3):411–438, 1997.

Bro18

Isaac Brodsky. H3: uber’s hexagonal hierarchical spatial index. Available from Uber Engineering website: https://eng. uber. com/h3/[22 June 2019], 2018.

BFC10

Chris Brunsdon, A. Stewart Fotheringham, and Martin E. Charlton. Geographically weighted regression: a method for exploring spatial nonstationarity. Geographical Analysis, 28(4):281–298, Sep 2010. URL: http://dx.doi.org/10.1111/j.1538-4632.1996.tb00936.x, doi:10.1111/j.1538-4632.1996.tb00936.x.

CMS13

Ricardo JGB Campello, Davoud Moulavi, and Jörg Sander. Density-based clustering based on hierarchical density estimates. In Pacific-Asia conference on knowledge discovery and data mining, 160–172. Springer, 2013.

CO81

Andrew David Cliff and J Keith Ord. Spatial processes: models & applications. Taylor & Francis, 1981.

Coo17

Joshua Cook. Docker for Data Science. Apress, 2017. ISBN 9781484230121. URL: http://dx.doi.org/10.1007/978-1-4842-3012-1, doi:10.1007/978-1-4842-3012-1.

CruwellvDE+19

Sophia Crüwell, Johnny van Doorn, Alexander Etz, Matthew C Makel, Hannah Moshontz, Jesse C Niebaum, Amy Orben, Sam Parsons, and Michael Schulte-Mecklenbeck. Seven easy steps to open science. Zeitschrift für Psychologie, 2019.

DSSC18

Teddy Dawson, J.S. Sandoval, Vasit Sagan, and Thomas Crawford. A spatial analysis of the relationship between vegetation and poverty. ISPRS International Journal of Geo-Information, 7:83, 03 2018. doi:10.3390/ijgi7030083.

DDPP19

Nema Dean, Guanpeng Dong, Aneta Piekut, and Gwilym Pryce. Frontiers in residential segregation: understanding neighbourhood boundaries and their impacts. Tijdschrift voor economische en sociale geografie, 110(3):271–288, 2019.

Don17

David Donoho. 50 Years of Data Science. Journal of Computational and Graphical Statistics, 26(4):745–766, October 2017. doi:10.1080/10618600.2017.1384734.

DAR11

Juan C. Duque, Luc Anselin, and Sergio J. Rey. The max-p-regions problem. Journal of Regional Science, 52(3):397–419, Dec 2011. URL: http://dx.doi.org/10.1111/j.1467-9787.2011.00743.x, doi:10.1111/j.1467-9787.2011.00743.x.

DRSurinach07

Juan Carlos Duque, Raúl Ramos, and Jordi Suriñach. Supervised regionalization methods: a survey. International Regional Science Review, 30(3):195–220, 2007.

Eco

The Economist. Python has brought computer programming to a vast new audience. https://www.economist.com/science-and-technology/2018/07/19/python-has-brought-computer-programming-to-a-vast-new-audience. Accessed: 2021-06-04.

EH16

Bradley Efron and Trevor Hastie. Computer Age Statistical Inference. Volume 5. Cambridge University Press, 2016.

EB01

Cory L Eicher and Cynthia A Brewer. Dasymetric mapping and areal interpolation: implementation and evaluation. Cartography and Geographic Information Science, 28(2):125–138, 2001.

EKS+96

Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, and others. A density-based algorithm for discovering clusters in large spatial databases with noise. In Kdd, volume 96, 226–231. 1996.

Ezc19

Roberto Ezcurra. Interregional Inequality and Civil Conflict: Are Spatial Disparities a Threat to Stability and Peace? Defence and Peace Economics, 30(7):759–782, November 2019. doi:10.1080/10242694.2018.1446621.

FPP+10

Matthew C Fitzpatrick, Evan L Preisser, Adam Porter, Joseph Elkinton, Lance A Waller, Bradley P Carlin, and Aaron M Ellison. Ecological boundary detection using bayesian areal wombling. Ecology, 91(12):3448–3455, 2010.

FD81

David Freedman and Persi Diaconis. On the histogram as a density estimator: l 2 theory. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete, 57(4):453–476, 1981.

FHT+01

Jerome Friedman, Trevor Hastie, Robert Tibshirani, and others. The elements of statistical learning. Volume 1. Springer series in statistics New York, 2001.

Gah99

Mark Gahegan. Guest editorial: what is geocomputation? Transactions in GIS, 3:203–206, 1999.

Gea54

Robert C Geary. The contiguity ratio and statistical mapping. The incorporated statistician, 5(3):115–146, 1954.

GH06

Andrew Gelman and Jennifer Hill. Data Analysis Using Regression and Multilevel Hierarchical Models. Cambridge University Press, 2006. ISBN 9780511790942. URL: http://dx.doi.org/10.1017/cbo9780511790942, doi:10.1017/cbo9780511790942.

GO92

Arthur Getis and JK Ord. The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3):189–206, 1992.

GOP15

Steve Gibbons, Henry G. Overman, and Eleonora Patacchini. Spatial methods. Handbook of Regional and Urban Economics, pages 115–168, 2015. URL: http://dx.doi.org/10.1016/b978-0-444-59517-1.00003-9, doi:10.1016/b978-0-444-59517-1.00003-9.

Git

Github. Basic writing and formatting syntax. https://help.github.com/en/github/writing-on-github/basic-writing-and-formatting-syntax. Accessed: 2021-06-04.

Glu18

Konstantin Gluschenko. Measuring regional inequality: to weight or not to weight? Spatial Economic Analysis, 13(1):36–59, Jul 2018. URL: http://dx.doi.org/10.1080/17421772.2017.1343491, doi:10.1080/17421772.2017.1343491.

Goo07

Michael F Goodchild. Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4):211–221, 2007.

GYC07

Michael F Goodchild, May Yuan, and Thomas Cova. Towards a general theory of geographic representation in GIS. International Journal of Geographical Information Science, 21:239–260, 2007.

HHV93

David L Horn, Charles R Hampton, and Anthony J Vandenberg. Practical application of district compactness. Political Geography, 12:103–120, 1993.

Ioa07

John P. A Ioannidis. Why most published research findings are false: Author’s Reply to Goodman and Greenland. PLoS Medicine, 4(6):e215, Jun 2007. URL: http://dx.doi.org/10.1371/journal.pmed.0040215, doi:10.1371/journal.pmed.0040215.

JC71

George F. Jenks and Fred C. Caspall. Error on choroplethic maps: definition, measurement, reduction. Annals of the Association of American Geographers, 61(2):217–244, Jun 1971. URL: http://dx.doi.org/10.1111/j.1467-8306.1971.tb00779.x, doi:10.1111/j.1467-8306.1971.tb00779.x.

Jia13

Bin Jiang. Head/tail breaks: a new classification scheme for data with a heavy-tailed distribution. The Professional Geographer, 65(3):482–494, Aug 2013. URL: http://dx.doi.org/10.1080/00330124.2012.700499, doi:10.1080/00330124.2012.700499.

JPF10

Ron Johnston, Michael Poulsen, and James Forrest. The intensity of ethnic residential clustering: exploring scale effects using local indicators of spatial association. Environment and Planning A, 42:874–894, 04 2010. doi:10.1068/a42181.

KRKPerez+16

Thomas Kluyver, Benjamin Ragan-Kelley, Fernando Pérez, Brian Granger, Matthias Bussonnier, Jonathan Frederic, Kyle Kelley, Jessica Hamrick, Jason Grout, Sylvain Corlay, Paul Ivanov, Damián Avila, Safia Abdalla, Carol Willing, and Jupyter Development Team. Jupyter notebooks - a publishing format for reproducible computational workflows. In Fernando Loizides and Birgit Schmidt, editors, Positioning and power in academic publishing: Players, agents and agendas, 97–90. IOS Press, 2016.

LC05

Haolan Lu and Bradley P Carlin. Bayesian areal wombling for geographical boundary analysis. Geographical Analysis, 37(3):265–285, 2005.

MM21

Kirsi M. Manz and Ulrich Mansmann. Inequality indices to monitor geographic differences in incidence, mortality and fatality rates over time during the COVID-19 pandemic. PLOS ONE, 16(5):e0251366, May 2021. URL: https://dx.plos.org/10.1371/journal.pone.0251366 (visited on 2021-10-04), doi:10.1371/journal.pone.0251366.

MHA17

Leland McInnes, John Healy, and Steve Astels. Hdbscan: hierarchical density based clustering. Journal of Open Source Software, 2(11):205, 2017.

Mor48

Patrick AP Moran. The interpretation of statistical maps. Journal of the Royal Statistical Society. Series B (Methodological), 10(2):243–251, 1948.

MS21

Sebastian Müller and Lennart Schüler. Geostat-framework/gstools: v1.3.3 'pure pink'. August 2021. URL: https://doi.org/10.5281/zenodo.5169658, doi:10.5281/zenodo.5169658.

Nie20

Michael Nielsen. Reinventing Discovery. Princeton University Press, Apr 2020. ISBN 9780691202846. URL: http://dx.doi.org/10.2307/j.ctvqsdst2, doi:10.2307/j.ctvqsdst2.

Ord10

Keith Ord. Spatial autocorrelation: a statistician's reflections. In Luc Anselin and Sergio Rey, editors, Perspectives on Spatial Data Analysis, Advances in Spatial Science. Springer-Verlag, Berlin-Heidelberg, 2010.

PS03

T. Piketty and E. Saez. Income inequality in the United States, 1913-1998. The Quarterly Journal of Economics, 118(1):1–41, Feb 2003. URL: http://dx.doi.org/10.1162/00335530360535135, doi:10.1162/00335530360535135.

Rey09

Sergio J. Rey. Show me the code: spatial analysis and open source. Journal of Geographical Systems, 11(2):191–207, Apr 2009. URL: http://dx.doi.org/10.1007/s10109-009-0086-8, doi:10.1007/s10109-009-0086-8.

Rey14

Sergio J. Rey. Spatial dynamics and space-time data analysis. In Manfred M. Fischer and Peter Nijkamp, editors, Handbook of Regional Science, pages 1365–1383. Springer Berlin Heidelberg, Berlin, Heidelberg, 2014. URL: https://doi.org/10.1007/978-3-642-23430-9₇8, doi:10.1007/978-3-642-23430-9₇8.

RSastreGutierrez10

Sergio J. Rey and Myrna L. Sastré-Gutiérrez. Interregional inequality dynamics in mexico. Spatial Economic Analysis, 5(3):277–298, Sep 2010. URL: http://dx.doi.org/10.1080/17421772.2010.493955, doi:10.1080/17421772.2010.493955.

RS12

Sergio J. Rey and Richard J. Smith. A spatial decomposition of the Gini coefficient. Letters in Spatial and Resource Sciences, 6(2):55–70, Sep 2012. URL: http://dx.doi.org/10.1007/s12076-012-0086-z, doi:10.1007/s12076-012-0086-z.

Rip91

Brian D Ripley. Statistical inference for spatial processes. Cambridge University Press, 1991.

RP18

Andrés Rodríguez-Pose. The revenge of the places that don’t matter (and what to do about it). Cambridge Journal of Regions, Economy and Society, 11(1):189–209, Jan 2018. URL: http://dx.doi.org/10.1093/cjres/rsx024, doi:10.1093/cjres/rsx024.

RBZ+19

Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, and et al. Ten simple rules for writing and sharing computational analyses in jupyter notebooks. PLOS Computational Biology, 15(7):e1007007, Jul 2019. URL: http://dx.doi.org/10.1371/journal.pcbi.1007007, doi:10.1371/journal.pcbi.1007007.

She08

Michael Shermer. Patternicity: Finding meaningful patterns in meaningless noise. Scientific American, 299(5):48, 2008.

SW05

Anthony Shorrocks and Guanghua Wan. Spatial decomposition of inequality. Journal of Economic Geography, 5(1):59–81, 2005. URL: http://www.jstor.org/stable/26160606.

Sil86

Bernard W Silverman. Density estimation for statistics and data analysis. Volume 26. CRC press, 1986.

Tat17

Andrew J. Tatem. WorldPop, open data for spatial demography. Scientific Data, 4(1):170004, January 2017. doi:10.1038/sdata.2017.4.

Tob70

Waldo R Tobler. A computer movie simulating urban growth in the Detroit region. Economic geography, 46(sup1):234–240, 1970.

TPPGTZ14

Víctor Torres-Preciado, Mayren Polanco-Gaytán, and Miguel Tinoco-Zermeno. Technological innovation and regional economic growth in Mexico: a spatial perspective. The Annals of Regional Science, 52(1):183–200, January 2014. URL: https://ideas.repec.org/a/spr/anresc/v52y2014i1p183-200.html, doi:10.1007/s00168-013-0581-1.

Tuk77

John W Tukey. Exploratory data analysis. Addison-Wesley, 1977.

UvanMeeteren21

Justus Uitermark and Michiel van Meeteren. Geographical Network Analysis. Tijdschrift voor Economische en Sociale Geografie, 112(4):337–350, 2021. doi:10.1111/tesg.12480.

WB18

Richard Webber and Roger Burrows. The predictive postcode: The geodemographic classification of British society. Sage, 2018.

W+14

Hadley Wickham and others. Tidy data. Journal of statistical software, 59(10):1–23, 2014.

Won04

David W. S. Wong. The Modifiable Areal Unit Problem (MAUP). In Donald G. Janelle, Barney Warf, and Kathy Hansen, editors, WorldMinds: Geographical Perspectives on 100 Problems: Commemorating the 100th Anniversary of the Association of American Geographers 1904–2004, pages 571–575. Springer Netherlands, Dordrecht, 2004. doi:10.1007/978-1-4020-2352-1_93.

Woo06

Simon N. Wood. Generalized Additive Models. Chapman and Hall/CRC, Feb 2006. ISBN 9781420010404. URL: http://dx.doi.org/10.1201/9781420010404, doi:10.1201/9781420010404.

ZRW+20

Xi Zhang, Huaxiang Rao, Yuwan Wu, Yubei Huang, and Hongji Dai. Comparison of spatiotemporal characteristics of the COVID-19 and SARS outbreaks in mainland China. BMC infectious diseases, 20(1):1–7, 2020.

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