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The Data Avalanche Is Here. Shouldn’T We Be Digging?

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  • Harvey J. Miller

Abstract

ABSTRACT We have access to an unprecedented amount of fine‐grained data on cities, transportation, economies, and societies, much of these data referenced in geo‐space and time. There is a tremendous opportunity to discover new knowledge about spatial economies that can inform theory and modeling in regional science. However, there is little evidence of computational methods for discovering knowledge from databases in the regional science literature. This paper addresses this gap by clarifying the geospatial knowledge discovery process, its relation to scientific knowledge construction, and identifying challenges to a greater role in regional science.

Suggested Citation

  • Harvey J. Miller, 2010. "The Data Avalanche Is Here. Shouldn’T We Be Digging?," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 181-201, February.
    • Handle: RePEc:bla:jregsc:v:50:y:2010:i:1:p:181-201
    DOI: 10.1111/j.1467-9787.2009.00641.x
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    References listed on IDEAS

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    1. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    2. David J. Hand, 1999. "Discussion contribution on 'Data mining reconsidered: encompassing and the general-to-specific approach to specification search' by Hoover and Perez," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 241-243.
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    Cited by:

    1. Daniel Arribas-Bel & Jessie Bakens, 2019. "Use and validation of location-based services in urban research: An example with Dutch restaurants," Urban Studies, Urban Studies Journal Limited, vol. 56(5), pages 868-884, April.
    2. Tobias Scholl & Thomas Brenner, 2013. "Detecting Spatial Clustering Using a Firm-Level Index," Working Papers on Innovation and Space 2012-02, Philipps University Marburg, Department of Geography.
    3. Emmanouil Tranos & Peter Nijkamp, 2015. "Mobile phone usage in complex urban systems: a space–time, aggregated human activity study," Journal of Geographical Systems, Springer, vol. 17(2), pages 157-185, April.
    4. repec:osf:socarx:qvwpg_v1 is not listed on IDEAS
    5. Marlon G. Boarnet & Xize Wang & Douglas Houston, 2022. "Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before-After, Experimental-Control Evaluation in Los Angeles," Papers 2206.12610, arXiv.org.
    6. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    7. Karima Kourtit & Peter Nijkamp & Mark D. Partridge & Marlon G. Boarnet, 2013. "The declining role of the automobile and the re-emergence of place in urban transportation: The past will be prologue," Regional Science Policy & Practice, Wiley Blackwell, vol. 5(2), pages 237-253, June.
    8. Roberta Floris & Corrado Zoppi, 2015. "Social Media-Related Geographic Information in the Context of Strategic Environmental Assessment of Municipal Masterplans: A Case Study Concerning Sardinia (Italy)," Future Internet, MDPI, vol. 7(3), pages 1-18, August.
    9. Tobias Scholl & Thomas Brenner & Martin Wendel, 2016. "Evolving localization patterns of company foundationsEvidence from the German MST-industry," Journal of Evolutionary Economics, Springer, vol. 26(5), pages 1067-1087, December.
    10. Steenbruggen, John & Tranos, Emmanouil & Nijkamp, Peter, 2015. "Data from mobile phone operators: A tool for smarter cities?," Telecommunications Policy, Elsevier, vol. 39(3), pages 335-346.
    11. Ate Poorthuis & Qingqing Chen & Matthew Zook, 2024. "A nationwide dataset of de-identified activity spaces derived from geotagged social media data," Environment and Planning B, , vol. 51(9), pages 2264-2275, November.
    12. Boarnet, Marlon G. & Wang, Xize & Houston, Douglas, 2017. "Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before-After, Experimental-Control Evaluation in Los Angeles," SocArXiv qvwpg, Center for Open Science.
    13. Marlon G. Boarnet & Xize Wang & Douglas Houston, 2017. "Can New Light Rail Reduce Personal Vehicle Carbon Emissions? A Before‐After, Experimental‐Control Evaluation In Los Angeles," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 523-539, June.
    14. Sébastien Dujardin & Damien Jacques & Jessica Steele & Catherine Linard, 2020. "Mobile Phone Data for Urban Climate Change Adaptation: Reviewing Applications, Opportunities and Key Challenges," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    15. Sui, Daniel, 2012. "Looking through Hägerstrand’s dual vistas: towards a unifying framework for time geography," Journal of Transport Geography, Elsevier, vol. 23(C), pages 5-16.
    16. Tobias Scholl & Thomas Brenner, 2015. "Optimizing distance-based methods for large data sets," Journal of Geographical Systems, Springer, vol. 17(4), pages 333-351, October.
    17. Francesc Valls & Josep Roca, 2021. "Visualizing Digital Traces for Sustainable Urban Management: Mapping Tourism Activity on the Virtual Public Space," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    18. Tobias Scholl & Thomas Brenner, 2013. "Optimizing Distance-Based Methods for Big Data Analysis," Working Papers on Innovation and Space 2013-09, Philipps University Marburg, Department of Geography.
    19. Mark Livingston & Francesca Pannullo & Adrian W. Bowman & E. Marian Scott & Nick Bailey, 2021. "Exploiting new forms of data to study the private rented sector: Strengths and limitations of a database of rental listings," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 663-682, April.
    20. Julian Hagenauer, 2016. "Weighted merge context for clustering and quantizing spatial data with self-organizing neural networks," Journal of Geographical Systems, Springer, vol. 18(1), pages 1-15, January.
    21. Shih-Lung Shaw, 2023. "Time geography in a hybrid physical–virtual world," Journal of Geographical Systems, Springer, vol. 25(3), pages 339-356, July.

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