IDEAS home Printed from https://ideas.repec.org/p/wiw/wus046/6637.html
   My bibliography  Save this paper

The Analysis of Big Data on Cites and Regions - Some Computational and Statistical Challenges

Author

Listed:
  • Schintler, Laurie A.
  • Fischer, Manfred M.

Abstract

Big Data on cities and regions bring new opportunities and challenges to data analysts and city planners. On the one side, they hold great promise to combine increasingly detailed data for each citizen with critical infrastructures to plan, govern and manage cities and regions, improve their sustainability, optimize processes and maximize the provision of public and private services. On the other side, the massive sample size and high-dimensionality of Big Data and their geo-temporal character introduce unique computational and statistical challenges. This chapter provides overviews on the salient characteristics of Big Data and how these features impact on paradigm change of data management and analysis, and also on the computing environment.

Suggested Citation

  • Schintler, Laurie A. & Fischer, Manfred M., 2018. "The Analysis of Big Data on Cites and Regions - Some Computational and Statistical Challenges," Working Papers in Regional Science 2018/08, WU Vienna University of Economics and Business.
    • Handle: RePEc:wiw:wus046:6637
    as

    Download full text from publisher

    File URL: https://epub.wu.ac.at/6637/
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manfred M. Fischer & Jinfeng Wang, 2011. "Spatial Data Analysis," SpringerBriefs in Regional Science, Springer, number 978-3-642-21720-3, July.
    2. Arthur Getis, 1999. "Some thoughts on the impact of large data sets on regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 33(2), pages 145-150.
    3. Charlie Karlsson & Martin Andersson & Therese Norman (ed.), 2015. "Handbook of Research Methods and Applications in Economic Geography," Books, Edward Elgar Publishing, number 14395, March.
    4. Manfred M. Fischer & Peter Nijkamp (ed.), 2014. "Handbook of Regional Science," Springer Books, Springer, edition 127, number 978-3-642-23430-9, March.
    5. Mei-Po Kwan, 2016. "Algorithmic Geographies: Big Data, Algorithmic Uncertainty, and the Production of Geographic Knowledge," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(2), pages 274-282, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schintler, Laurie A. & Fischer, Manfred M., 2018. "Big Data and Regional Science: Opportunities, Challenges, and Directions for Future Research," Working Papers in Regional Science 2018/02, WU Vienna University of Economics and Business.
    2. James P. LeSage & Manfred M. Fischer, 2016. "Spatial Regression-Based Model Specifications for Exogenous and Endogenous Spatial Interaction," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 15-36, Springer.
    3. Roberta Capello & Camilla Lenzi, 2019. "The nexus between inventors’ mobility and regional growth across European regions," Journal of Geographical Systems, Springer, vol. 21(4), pages 457-486, December.
    4. Deeken, Tim, 2015. "Knowledge spillovers: On the impact of genetic distance and data revisions," Working Paper Series in Economics 74, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    5. Klaus Glenk & Robert J. Johnston & Jürgen Meyerhoff & Julian Sagebiel, 2020. "Spatial Dimensions of Stated Preference Valuation in Environmental and Resource Economics: Methods, Trends and Challenges," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 215-242, February.
    6. Dongwoo Kang & Sandy Dall’erba, 2016. "An Examination of the Role of Local and Distant Knowledge Spillovers on the US Regional Knowledge Creation," International Regional Science Review, , vol. 39(4), pages 355-385, October.
    7. Martina Neuländtner & Thomas Scherngell, 2020. "Geographical or relational: What drives technology-specific R&D collaboration networks?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(3), pages 743-773, December.
    8. Rey, Sergio, 2015. "Bells in Space: The Spatial Dynamics of US Interpersonal and Interregional Income Inequality," MPRA Paper 69482, University Library of Munich, Germany.
    9. Juan C. Surís-Regueiro & José L. Santiago, 2016. "An Input-Output methodological proposal to quantifying socio economic impacts linked to supply shocks," Working Papers 1603, Universidade de Vigo, Departamento de Economía Aplicada.
    10. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    11. Manfred M. Fischer & Nico Pintar & Benedikt Sargant, 2016. "Austrian Outbound Foreign Direct Investment in Europe:A spatial econometric study," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 10(1), pages 1-22, JUNE.
    12. Boeing, Geoff, 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks," SocArXiv q86sd, Center for Open Science.
    13. Daniel A. Griffith & Manfred M. Fischer, 2016. "Constrained Variants of the Gravity Model and Spatial Dependence: Model Specification and Estimation Issues," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 37-66, Springer.
    14. Simon Baumgartinger-Seiringer & David Doloreux & Richard Shearmur & Michaela Trippl, 2021. "When history does not matter? The rise of Quebec’s wine industry," PEGIS geo-disc-2021_05, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.
    15. Clemens, Michael A., 2021. "Violence, development, and migration waves: Evidence from Central American child migrant apprehensions," Journal of Urban Economics, Elsevier, vol. 124(C).
    16. Laird, James J. & Venables, Anthony J., 2017. "Transport investment and economic performance: A framework for project appraisal," Transport Policy, Elsevier, vol. 56(C), pages 1-11.
    17. Pires, Jose Claudio Linhares & Cravo, Tulio & Lodato, Simon & Piza, Caio, 2013. "Industrial Clusters and Economic Performance in Brazil," IDB Publications (Working Papers) 4771, Inter-American Development Bank.
    18. Funashima, Yoshito & Ohtsuka, Yoshihiro, 2019. "Spatial crowding-out and crowding-in effects of government spending on the private sector in Japan," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 35-48.
    19. Julia Frutos Cachorro & Katrin Erdlenbruch & Mabel Tidball, 2019. "Sharing a Groundwater Resource in a Context of Regime Shifts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(4), pages 913-940, April.
    20. Sergio J. Rey, 2018. "Bells in Space," International Regional Science Review, , vol. 41(2), pages 152-182, March.

    More about this item

    Keywords

    massive sample size; high-dimensional data; heterogeneity and incompleteness; data storage; scalability; parallel data processing; visualization; statistical methods;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wus046:6637. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: WU Library (email available below). General contact details of provider: https://research.wu.ac.at/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.