Abstract
Previous studies reveal that, using solely U.S. census data, over 60 % population could be uniquely identified with (gender, zip code, date of birth) in 1990 and 2000. This paper extends these studies to examine spatial variation of uniqueness in 2010. We provide (1) the comparison of national level uniqueness between 2000 and 2010, and (2) the investigation of spatial variation of uniqueness in different regions and at different scales. The comparison between 2000 and 2010 reveals that, although overall uniqueness changes little, the uniqueness of middle-age group has significantly decreased. Spatial variation studies show that similar characteristics in age-group uniqueness exist in different regions. Finally, the analysis at different scales discloses that overall uniqueness decreases, and the difference between age-group uniqueness reduce, when geographical scales focus on the cores of urban area. This study offers contributions to geographic information privacy, particularly relevant to reverse geocoding and related spatial aggregation techniques.
Original language | English (US) |
---|---|
Title of host publication | Advances in Spatial Data Handling and Analysis - Select Papers from the 16th IGU Spatial Data Handling Symposium |
Editors | Yee Leung, Francis Harvey |
Publisher | springer berlin |
Pages | 289-298 |
Number of pages | 10 |
ISBN (Print) | 9783319199498 |
DOIs | |
State | Published - 2015 |
Event | 16th International Symposium on Spatial Data Handling, SDH 2014 - Toronto, Canada Duration: Oct 6 2014 → Oct 8 2014 |
Publication series
Name | Advances in Geographic Information Science |
---|---|
Volume | 19 |
ISSN (Print) | 1867-2434 |
ISSN (Electronic) | 1867-2442 |
Other
Other | 16th International Symposium on Spatial Data Handling, SDH 2014 |
---|---|
Country/Territory | Canada |
City | Toronto |
Period | 10/6/14 → 10/8/14 |
Bibliographical note
Funding Information:This research is partially supported by the Summer Research Scholarship of Department of Geography, Environment and Society, University of Minnesota, Twin Cities, provided through the Abler Foundation.
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
Keywords
- Accuracy
- Census
- Privacy
- Spatial analysis
- Spatial statistics