Demonstrating the utility of machine learning innovations in address matching to spatial socio-economic applications
The last decade has heralded an unprecedented rise in the number, frequency and availability of data sources. Yet they are often incomplete, meaning data fusion is required to enhance their quality and scope. In the context of spatial analysis, address matching is critical to enhancing household soc...
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| Format: | Article |
| Language: | English |
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ERSA
2020-01-01
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| Series: | REGION |
| Online Access: | https://openjournals.wu-wien.ac.at/ojs/index.php/region/article/view/276 |