PERFECTING THE DENOMINATOR: DEVELOPING A CADASTRAL-BASED
EXPERT DASYMETRIC SYSTEM (CEDS) IN
J.A. Maantay, A.R. Maroko
City
maantay@aol.com
This paper
discusses the importance of determining an accurate depiction of population
distribution for urban areas in order to develop an improved “denominator,”
allowing for more correct rates in GIS analyses involving public health, crime,
and urban environmental planning. Rather
than using data aggregated by arbitrary administrative boundaries such as
census tracts, accuracy is improved by the use of dasymetric mapping, an areal
interpolation method using ancillary information to delineate areas of
homogeneous values. Specifically, a new
methodology called the Cadastral-based
Expert Dasymetric System (CEDS)
was designed and implemented in order to provide vital population data at the
tax-lot level, a geographic unit roughly 350-times smaller than the census
tract in
The CEDS method differs from these existing disaggregation methods in two major ways. Firstly, the ancillary data used is very detailed cadastral data, more appropriate to estimating population distribution in hyper-heterogeneous urban areas in a continuous (non-binary) way. Secondly, the CEDS method also uses an expert system to determine which of several formulae to use, calculating which method fits the data best. In this way, each source record within the area of interest can be customized as to method of disaggregation, which when validated, yield more accurate results.
The CEDS
dasymetric mapping technique is presented through a case study of asthma
hospitalizations in