Details:

Alternative Title:
Ann GIS
Personal Author:
Shi, Xun ; Li, Meifang ; Hunter, Olivia ; Guetti, Bart ; Andrew, Angeline ; ... More +
Shi, Xun ; Li, Meifang ; Hunter, Olivia ; Guetti, Bart ; Andrew, Angeline ; Stommel, Elijah ; Bradley, Walter ; Karagas, Margaret Less -
Description:
In environmental health researches and practices, spatial analysis became an important approach to estimation of environmental exposure of human subjects under concern. A typical situation in this kind of application is that the data of pollution are available only at certain locations, and thus inference is needed to convert a limited number of values at discrete locations into a continuous surface. This paper intends to clarify the distinction among three methods that can be used to achieve this conversion, namely interpolation, kernel density estimation (KDE), and |. Due to the apparent similarity of the three, they may cause confusions that lead to misuses. We compare and contrast the three methods, in terms of nature of the input data, mathematical process of the inference, and essential meaning of the output. For each method we suggest appropriate applications within the context of estimation of environmental exposure.
Subjects:
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Article Environmental Exposure Health Interpolation Kernel Density Estimation Snapshotting
Source:
Ann GIS. 25(1):1-8
Pubmed ID:
30687456
Pubmed Central ID:
PMC6345173
Document Type:
Journal Article
Funding:
R01 TS000245/TS/ATSDR CDC HHS/United States
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:f4f4872f692fdcd534e65de7db65bfd86008e84a054ee8acb0079ce9171834e6
Download URL:
https://stacks.cdc.gov/view/cdc/75901/cdc_75901_DS1.pdf
File Type:

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