High-resolution census data: Simple ways to make them useful

Itzhak Benenson; Itzhak Omer

doi:10.2481/dsj.2.117

High-resolution census data: Simple ways to make them useful

Itzhak Benenson, Itzhak Omer

Department of Geophysics

Research output: Contribution to journal › Article › peer-review

Abstract

Recent population censuses have brought about arrays of high-resolution explicitly geo-referenced socioeconomic data stored in the framework of Geographic Information Systems. Geography and social science are not prepared for these new urban databases, and this paper considers their potential for investigating residential distribution, based on the data of the 1995 Israeli Census of Population and Households. We focus on the methodological problems: understanding the phenomena, formal analysis, and statistical inference. The methods for mapping high-resolution data, establishing spatial relationships between them, analyzing neighborhood structure, and exploring the significance of the results are proposed and illustrated by examples of the cities of Tel-Aviv (pop. 350,000) and Ashdod (pop. 100,000).

Original language	English
Pages (from-to)	117-127
Number of pages	11
Journal	Data Science Journal
Volume	2
Issue number	Special issue
DOIs	https://doi.org/10.2481/dsj.2.117
State	Published - 26 Feb 2003

Keywords

GIS
Population census
Spatial patterns
Spatial statistics
Thematic mapping

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10.2481/dsj.2.117

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abstract = "Recent population censuses have brought about arrays of high-resolution explicitly geo-referenced socioeconomic data stored in the framework of Geographic Information Systems. Geography and social science are not prepared for these new urban databases, and this paper considers their potential for investigating residential distribution, based on the data of the 1995 Israeli Census of Population and Households. We focus on the methodological problems: understanding the phenomena, formal analysis, and statistical inference. The methods for mapping high-resolution data, establishing spatial relationships between them, analyzing neighborhood structure, and exploring the significance of the results are proposed and illustrated by examples of the cities of Tel-Aviv (pop. 350,000) and Ashdod (pop. 100,000).",

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AB - Recent population censuses have brought about arrays of high-resolution explicitly geo-referenced socioeconomic data stored in the framework of Geographic Information Systems. Geography and social science are not prepared for these new urban databases, and this paper considers their potential for investigating residential distribution, based on the data of the 1995 Israeli Census of Population and Households. We focus on the methodological problems: understanding the phenomena, formal analysis, and statistical inference. The methods for mapping high-resolution data, establishing spatial relationships between them, analyzing neighborhood structure, and exploring the significance of the results are proposed and illustrated by examples of the cities of Tel-Aviv (pop. 350,000) and Ashdod (pop. 100,000).

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High-resolution census data: Simple ways to make them useful

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Keywords

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