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Optimizing census geography: the separation of collection and output geographies
International Journal of Geographical Information Science : IJGIS
|September 26, 2002
Summary
This paper reviews automated census geography, presenting a four-stage model for its development. It highlights opportunities for automated design and the impact of output geography on data analysis.
Area of Science:
- Demography
- Geographic Information Science
- Statistical Geography
Background:
- Traditional census geography methods are evolving due to increasing automation in data processing.
- The historical treatment of census geography requires re-evaluation in the digital age.
- Automation presents new challenges and opportunities for census data management.
Purpose of the Study:
- To present a four-stage model for the development of modern census geography.
- To review current practices in census geography design within the context of automation.
- To explore opportunities for automated census geography design and output.
Main Methods:
- Review of historical and current practices in census geography.
- Development and application of a four-stage model for census geography evolution.
- Conceptualization and prototyping of automated systems for separating data collection and output geographies.
Main Results:
- A four-stage model illustrating the progression of census geography development is proposed.
- Current census geography practices are analyzed, identifying limitations and areas for improvement.
- A prototype demonstrating the separation of data collection and output geographies through automation is presented.
Conclusions:
- Automated census geography design offers significant potential for efficiency and flexibility.
- The proposed model provides a framework for understanding and advancing census geography.
- Separating data collection and output geographies is crucial for effective data analysis and international relevance.
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