Comparison of Dasymetric Mapping Techniques for Small-Area Population Estimates
Bibliographic Data
| ID | 12750620 |
|---|---|
| Authors | Paul A Zandbergen (0000-0002-7833-3767, corresponding author), Drew A Ignizio (0000-0001-8054-5139) |
| Year | 2010 |
| Volume | 37 |
| Issue | 3 |
| Pages | 199-214 |
| Publication date | 2010-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartography and Geographic Information Science (JOURNAL) |
| Journal identifiers | ISSN: 1523-0406 • E-ISSN: 1545-0465 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1559/152304010792194985 |
| OpenAlex | W2002339444 |
| Language | EN |
| Citations received | 29 |
Dasymetric mapping techniques can be employed to estimate population characteristics of small areas that do not correspond to census enumeration areas. Land cover has been the most widely used source of ancillary data in dasymetric mapping. The current research examines the performance of alternative sources of ancillary data, including imperviousness, road networks, and nighttime lights. Nationally available datasets were used in the analysis to allow for replicability. The performance of the techniques used to examine these sources was compared to areal weighting and traditional land cover techniques. Four states were used in the analysis, representing a range of different geographic regions: Connecticut, New Mexico, Oregon, and South Carolina. Ancillary data sources were used to estimate census block group population counts using census tracts as source zones, and the results were compared to the known block group population counts. Results indicate that the performance of dasymetric methods varies substantially among study areas, and no single technique consistently outperforms all others. The three best techniques are imperviousness with values greater than 75 percent removed, imperviousness with values greater than 60 percent removed, and land cover. Total imperviousness and roads perform slightly worse, with nighttime lights performing the worst compared to all other ancillary data types. All techniques performed better than areal weighting. Keywords: DASYMETRIC MAPPINGPOPULATIONIMPERVIOUSNESSLAND COVERROADS
Ancillary data · Cartography · Census · Geography · Land cover · Land use · Population · Remote sensing · Statistics · Weighting · Demography · Engineering · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Mathematics · Urban Transport and Accessibility
Interpolating U.S. Decennial Census Tract Data from as Early as 1970 to 2010
The spatial allocation of population
Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model
Flood exposure and social vulnerability in the United States
Exploring the Relationship between the Spatial Distribution of Different Age Populations and Points of Interest (POI) in China
Where Maps Lie
Population downscaling using high-resolution, temporally-rich U.S. property data
Using household counts as ancillary information for areal interpolation of population
Landscape metrics regularly outperform other traditionally-used ancillary datasets in dasymetric mapping of population
Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset
Spatially explicit modeling of the probability of land abandonment in the Spanish Pyrenees
Improving estimates of neighborhood change with constant tract boundaries
Mapping China’s regional economic activity by integrating points-of-interest and remote sensing data with random forest
A two-level random forest model for predicting the population distributions of urban functional zones
A Bivariate Dasymetric Population Map of Saudi Arabia
Spatial interpolation using areal features
The impact of incomplete geocoding on small area population estimates
Disadvantaged communities and drinking water
Population Surface Generation
Using OpenStreetMap to improve population grids in Europe
Estimating neighborhood-level population characteristics from parcel data
Establishing relationships between parcel data and land cover for demographic small area estimation
Multi-scale dynamic population estimation
Influencing factors of farmers’ willingness to withdraw from rural homesteads
A pixel level evaluation of five multitemporal global gridded population datasets
A Comparative Evaluation of Error and Bias in Census Tract-Level Age/Sex-Specific Population Estimates
Dasymetric Modeling and Uncertainty
When Boundaries Collide
Dasymetric Population Mapping Using Building Data
| Unique citing works | 29 |
|---|---|
| Citations per year | 1,93 |
| Citation span | 2011 - 2025 (15) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 29 |