Using GIS data to find and extract locations in historic texts, Lightning Talk (7 min)
2020
- 24Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage24
- Abstract Views12
- Downloads12
Artifact Description
Researchers consulting Carleton University Library's Ottawa Resource Collection are often looking for information on specific locations such as neighbourhoods, buildings, or addresses. When the Collection began to be digitized, an opportunity arose to build a software tool to extract geographic locations within the City of Ottawa. The resulting tool outputs geospatial coordinates (points, lines, and polygons) for each found location, utilizing openly available GIS datasets to build a lexicon of locations to extract from the texts.
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