Item talk:Q252276
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Incorporating GIS building data and census housing statistics for sub-block-level population estimation", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70033624", "url": "https://pubs.usgs.gov/publication/70033624" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70033624 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1080/00330120701724251", "url": "https://doi.org/10.1080/00330120701724251" }, { "@type": "PropertyValue", "propertyID": "ISSN", "value": "00330124" } ], "journal": { "@type": "Periodical", "name": "Professional Geographer", "volumeNumber": "60", "issueNumber": "1" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Professional Geographer" } ], "datePublished": "2008", "dateModified": "2012-03-12", "abstract": "This article presents a deterministic model for sub-block-level population estimation based on the total building volumes derived from geographic information system (GIS) building data and three census block-level housing statistics. To assess the model, we generated artificial blocks by aggregating census block areas and calculating the respective housing statistics. We then applied the model to estimate populations for sub-artificial-block areas and assessed the estimates with census populations of the areas. Our analyses indicate that the average percent error of population estimation for sub-artificial-block areas is comparable to those for sub-census-block areas of the same size relative to associated blocks. The smaller the sub-block-level areas, the higher the population estimation errors. 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