Areal interpolation and types of data

2010 ◽  
pp. 121-146 ◽  
Author(s):  
Robin Flowerdew ◽  
Mick Green
Keyword(s):  
Areal Interpolation

scholarly journals Changing boundaries: Overcoming modifiable areal unit problems related to unemployment data in South Africa

2016 ◽  
Vol Volume 112 (Number 3/4) ◽  
Author(s):  
Gina Weir-Smith ◽  
◽  
Keyword(s):  
South Africa ◽  
Rural Areas ◽  
Census Data ◽  
Metropolitan Areas ◽  
Geographic Area ◽  
Areal Unit ◽  
Areal Interpolation ◽  
Unemployment Data ◽  
Municipal Boundaries ◽  
Longitudinal Comparison

Abstract The longitudinal comparison of census data in spatial format is often problematic because of changes in administrative boundaries. Such shifting boundaries are referred to as the modifiable areal unit problem (MAUP). This article utilises unemployment data between 1991 and 2007 in South Africa to illustrate the challenge and proposes ways to overcome it. Various censuses in South Africa use different reporting geographies. Unemployment data for magisterial districts of census 1991 and 1996 were re-modelled to the 2005 municipal boundaries. This article showed that areal interpolation to a common administrative boundary could overcome these reporting obstacles. The results confirmed more accurate interpolations in rural areas with standard errors below 3300. Conversely, the largest errors were recorded in the metropolitan areas. Huge increases in unemployment between 1996 and 2001 statistics were also evident, especially in the metropolitan areas. Although such areas are more complex in nature, making it more difficult to accurately calculate census data, the increase in unemployment could also be the result of census taking methods. The article concludes that socio-economic data should be available at the smallest possible geographic area to ensure more accurate results in interpolation. It also recommends that new output areas be conceptualised to create a seamless database of census data from 1991 to 2011 in South Africa.

Disease, Death, and the Body Politic

2012 ◽  
pp. 253-272
Author(s):  
James L. Wilson ◽  
Christopher J. Mansfield
Keyword(s):  
Body Politic ◽  
The United States ◽  
District Level ◽  
Congressional District ◽  
Areal Interpolation ◽  
Related Data ◽  
Health Related ◽  
Interpolation Techniques ◽  
Public Money ◽  
The U.S

More than a trillion dollars of public money is spent annually on health care in the United States. In order to inform policymakers, health advocacy groups, tax-paying constituents, and beneficiaries, it would be useful to present and analyze health outcome and health-related data at the U.S. congressional district level. Presently, health event data are not reported at this political unit; however, recent interest and advances in areal interpolation techniques are beginning to transcend the inherent limitations imposed by legacy data collection and analyses systems. In this paper, the authors use the dasymetric approach to illustrate how this areal interpolation technique can be used to transfer county-level mortality rate data from several causes of death to the U.S. congressional district level. The study’s primary goal is to promote areal interpolation techniques in the absence of a systematic and comprehensive national program for geocoding health events.

Implementation of enhanced areal interpolation using MapInfo

1996 ◽  
Vol 22 (5) ◽  
pp. 459-466 ◽  
Author(s):  
L.M. Bloom ◽  
P.J. Pedler ◽  
G.E. Wragg
Keyword(s):  
Areal Interpolation

The Development of an Areal Interpolation ArcGIS Extension and a Comparative Study

2012 ◽  
Vol 49 (5) ◽  
pp. 644-663 ◽  
Author(s):  
Fang Qiu ◽  
Caiyun Zhang ◽  
Yuhong Zhou
Keyword(s):  
Comparative Study ◽  
Areal Interpolation

Assessment of areal interpolation methods for spatial analysis of SPI and EDI drought indices

2009 ◽  
Vol 29 (1) ◽  
pp. 135-145 ◽  
Author(s):  
Rouhangiz Akhtari ◽  
Saeed Morid ◽  
Mohammad Hossain Mahdian ◽  
Vladimir Smakhtin
Keyword(s):  
Spatial Analysis ◽  
Drought Indices ◽  
Areal Interpolation ◽  
Interpolation Methods

scholarly journals The Inner Geographies of a Migrant Gateway: Mapping the Built Environment and the Dynamics of Caribbean Mobility in Manchester, 1951–2011

2016 ◽  
Vol 40 (1) ◽  
pp. 93-120 ◽  
Author(s):  
Laurence Brown ◽  
Niall Cunningham
Keyword(s):  
Built Environment ◽  
Urban Policy ◽  
Urban Landscape ◽  
Housing Stock ◽  
Demographic Data ◽  
Ethnic Segregation ◽  
Areal Interpolation ◽  
The 1960S ◽  
The Relationship ◽  
The City

Between the 1960s and 1990s a series of urban redevelopment projects in Manchester radically transformed ethnic settlement in the city. The ward of Moss Side, which had been a gateway for Caribbean and African immigrants, experienced repeated slum clearances in which whole communities were relocated and large tracts of housing stock were demolished and redesigned. The relationship between these physical and demographic changes has been overshadowed by the persisting stigmatization of Moss Side as a racialized “ghetto,” which has meant that outsiders have constructed the area as possessing a fixed and homogenous identity. This article uses geographic information systems in conjunction with local surveys and archival records to explore how the dynamics of immigrant mobility within Moss Side were shaped by housing stock, external racism, family strategies, and urban policy. Whereas scholarship on ethnic segregation in Britain has focused on the internal migration of ethnic groups between administrative areas, using areal interpolation to connect demographic data and the built environment reveals the intense range of movements that developed within the variegated urban landscape of Moss Side.

Developments in areal interpolation methods and GIS

1992 ◽  
Vol 26 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Robin Flowerdew ◽  
Mick Green
Keyword(s):  
Areal Interpolation ◽  
Interpolation Methods
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