A quantitative analysis of global gazetteers: Patterns of coverage for common feature types. (July 2017)
- Record Type:
- Journal Article
- Title:
- A quantitative analysis of global gazetteers: Patterns of coverage for common feature types. (July 2017)
- Main Title:
- A quantitative analysis of global gazetteers: Patterns of coverage for common feature types
- Authors:
- Acheson, Elise
De Sabbata, Stefano
Purves, Ross S. - Abstract:
- Abstract: Gazetteers are important tools used in a wide variety of workflows that depend on linking natural language text to geographical space. The spatial properties of these data sources, such as coverage, balance, and completeness, affect the performance of common tasks such as geoparsing and geocoding. However, little attention has focused on how these properties vary in global gazetteers, particularly across country boundaries and according to feature types. In this paper, we present a detailed investigation of the spatial properties of two open gazetteers with worldwide coverage: GeoNames, and the Getty Thesaurus of Geographic Names (TGN). Using point density maps, correlations, and linear regressions, we analyze the global spatial coverage of each data source for the full set of features and for top feature types: populated places, streams, mountains, and hills. Results show wide discrepancies in coverage between the two datasets, sharp changes in feature type coverage across country borders, and idiosyncratic patterns dominated by a few countries for the more sparsely covered natural features. As more and more systems rely on recognizing and grounding named places, these patterns can influence the analysis of growing amounts of online text content and reinforce or amplify existing inequalities. Highlights: Global coverage maps presented for common feature types in two gazetteers Wide discrepancies in coverage between two global gazetteers illustrated The countryAbstract: Gazetteers are important tools used in a wide variety of workflows that depend on linking natural language text to geographical space. The spatial properties of these data sources, such as coverage, balance, and completeness, affect the performance of common tasks such as geoparsing and geocoding. However, little attention has focused on how these properties vary in global gazetteers, particularly across country boundaries and according to feature types. In this paper, we present a detailed investigation of the spatial properties of two open gazetteers with worldwide coverage: GeoNames, and the Getty Thesaurus of Geographic Names (TGN). Using point density maps, correlations, and linear regressions, we analyze the global spatial coverage of each data source for the full set of features and for top feature types: populated places, streams, mountains, and hills. Results show wide discrepancies in coverage between the two datasets, sharp changes in feature type coverage across country borders, and idiosyncratic patterns dominated by a few countries for the more sparsely covered natural features. As more and more systems rely on recognizing and grounding named places, these patterns can influence the analysis of growing amounts of online text content and reinforce or amplify existing inequalities. Highlights: Global coverage maps presented for common feature types in two gazetteers Wide discrepancies in coverage between two global gazetteers illustrated The country unit is the main driver of variation in global gazetteer coverage. Natural feature type coverage is unbalanced, concentrated in few countries. Variation in gazetteer coverage has important implications for many applications. … (more)
- Is Part Of:
- Computers, environment and urban systems. Volume 64(2017)
- Journal:
- Computers, environment and urban systems
- Issue:
- Volume 64(2017)
- Issue Display:
- Volume 64, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 64
- Issue:
- 2017
- Issue Sort Value:
- 2017-0064-2017-0000
- Page Start:
- 309
- Page End:
- 320
- Publication Date:
- 2017-07
- Subjects:
- Gazetteers -- Data quality -- GeoNames -- Placenames -- Geocoding
City planning -- Data processing -- Periodicals
Regional planning -- Data processing -- Periodicals
303.4834 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01989715 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compenvurbsys.2017.03.007 ↗
- Languages:
- English
- ISSNs:
- 0198-9715
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.914000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1929.xml