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Strategies to access web-enabled urban spatial data for socioeconomic research using R functions

Author

Listed:
  • Andrés Vallone

    (Universidad Católica del Norte)

  • Coro Chasco

    (Universidad Autónoma de Madrid
    Nebrija University)

  • Beatriz Sánchez

    (Catholic University of Ávila)

Abstract

Since the introduction of the World Wide Web in the 1990s, available information for research purposes has increased exponentially, leading to a significant proliferation of research based on web-enabled data. Nowadays the use of internet-enabled databases, obtained by either primary data online surveys or secondary official and non-official registers, is common. However, information disposal varies depending on data category and country and specifically, the collection of microdata at low geographical level for urban analysis can be a challenge. The most common difficulties when working with secondary web-enabled data can be grouped into two categories: accessibility and availability problems. Accessibility problems are present when the data publication in the servers blocks or delays the download process, which becomes a tedious reiterative task that can produce errors in the construction of big databases. Availability problems usually arise when official agencies restrict access to the information for statistical confidentiality reasons. In order to overcome some of these problems, this paper presents different strategies based on URL parsing, PDF text extraction, and web scraping. A set of functions, which are available under a GPL-2 license, were built in an R package to specifically extract and organize databases at the municipality level (NUTS 5) in Spain for population, unemployment, vehicle fleet, and firm characteristics.

Suggested Citation

  • Andrés Vallone & Coro Chasco & Beatriz Sánchez, 2020. "Strategies to access web-enabled urban spatial data for socioeconomic research using R functions," Journal of Geographical Systems, Springer, vol. 22(2), pages 217-239, April.
    • Handle: RePEc:kap:jgeosy:v:22:y:2020:i:2:d:10.1007_s10109-019-00309-y
    DOI: 10.1007/s10109-019-00309-y
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    1. Naveen Eluru & Chandra Bhat & Ram Pendyala & Karthik Konduri, 2010. "A joint flexible econometric model system of household residential location and vehicle fleet composition/usage choices," Transportation, Springer, vol. 37(4), pages 603-626, July.
    2. Paskaleva, Krassimira & Cooper, Ian, 2018. "Open innovation and the evaluation of internet-enabled public services in smart cities," Technovation, Elsevier, vol. 78(C), pages 4-14.
    3. Jofre-Monseny, Jordi & Marín-López, Raquel & Viladecans-Marsal, Elisabet, 2011. "The mechanisms of agglomeration: Evidence from the effect of inter-industry relations on the location of new firms," Journal of Urban Economics, Elsevier, vol. 70(2-3), pages 61-74, September.
    4. Nikolaos Papapesios & Claire Ellul & Amanda Shakir & Glen Hart, 2019. "Exploring the use of crowdsourced geographic information in defence: challenges and opportunities," Journal of Geographical Systems, Springer, vol. 21(1), pages 133-160, March.
    5. Braaksma, Barteld & Zeelenberg, Kees, 2015. "“Re-make/Re-model”: Should big data change the modelling paradigm in official statistics?," MPRA Paper 87741, University Library of Munich, Germany.
    6. Mark Graham & Bernie Hogan & Ralph K. Straumann & Ahmed Medhat, 2014. "Uneven Geographies of User-Generated Information: Patterns of Increasing Informational Poverty," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 104(4), pages 746-764, July.
    7. Benjamin Edelman, 2012. "Using Internet Data for Economic Research," Journal of Economic Perspectives, American Economic Association, vol. 26(2), pages 189-206, Spring.
    8. Josep-Maria Arauzo-Carod & Elisabet Viladecans-Marsal, 2009. "Industrial Location at the Intra-Metropolitan Level: The Role of Agglomeration Economies," Regional Studies, Taylor & Francis Journals, vol. 43(4), pages 545-558.
    9. Abdullah Gök & Alec Waterworth & Philip Shapira, 2015. "Use of web mining in studying innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 653-671, January.
    10. Antonio M. Bento & Maureen L. Cropper & Ahmed Mushfiq Mobarak & Katja Vinha, 2005. "The Effects of Urban Spatial Structure on Travel Demand in the United States," The Review of Economics and Statistics, MIT Press, vol. 87(3), pages 466-478, August.
    11. James LeSage, 2015. "Software for Bayesian cross section and panel spatial model comparison," Journal of Geographical Systems, Springer, vol. 17(4), pages 297-310, October.
    12. Josep Maria Arauzo Carod, 2005. "Determinants of industrial location: An application for Catalan municipalities," Papers in Regional Science, Wiley Blackwell, vol. 84(1), pages 105-120, March.
    13. Sana Chaabane & Wassim Jaziri, 2018. "A novel algorithm for fully automated mapping of geospatial ontologies," Journal of Geographical Systems, Springer, vol. 20(1), pages 85-105, January.
    14. Andrea Brandolini & Anthony B. Atkinson, 2001. "Promise and Pitfalls in the Use of "Secondary" Data-Sets: Income Inequality in OECD Countries As a Case Study," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 771-799, September.
    15. Kahn, Matthew E. & Schwartz, Joel, 2008. "Urban air pollution progress despite sprawl: The "greening" of the vehicle fleet," Journal of Urban Economics, Elsevier, vol. 63(3), pages 775-787, May.
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    Cited by:

    1. Sławomir Goliszek, 2021. "GIS tools and programming languages for creating models of public and private transport potential accessibility in Szczecin, Poland," Journal of Geographical Systems, Springer, vol. 23(1), pages 115-137, January.
    2. Boegershausen, Johannes & Datta, Hannes & Borah, Abhishek & Stephen, Andrew, 2022. "Fields of Gold: Web Scraping and APIs for Impactful Marketing Insights," Other publications TiSEM 5f1ed70a-48c3-422c-bc10-0, Tilburg University, School of Economics and Management.

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    More about this item

    Keywords

    Web scraping; URL parsing; Spatial microdata; Spain;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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