The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
THE DATA AVALANCHE IS HERE. SHOULDN’T WE BE DIGGING?
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.
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Citations
Cites
Data Mining: Statistics and More?
Hand, D. J. (1998) · The American Statistician · doi:10.1080/00031305.1998.10480549 · Cited by 380
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Metadata
- Authors
- Miller, H. J.
- Venue
- Journal of Regional Science
- Publisher
- Wiley
- Published
- 2010-02
- Volume
- 50
- Issue
- 1
- Pages
- 181-201
- ISSN
- 0022-4146 (ISSN-L)
- 1467-9787
- OpenAlex
- W1996319743
- Cited by
- 186
- References
- 1
- FWCI
- 22.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Miller, H. J. (2010). THE DATA AVALANCHE IS HERE. SHOULDN’T WE BE DIGGING? Journal of Regional Science. https://doi.org/10.1111/j.1467-9787.2009.00641.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
