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Title: Methods for Detecting the Changes between Spatial Tessellations at Two Different Points in Time

Citation Type: Journal Article

Publication Year: 2005

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Abstract: This paper proposes methods for detecting the changes between spatial tessellations at two different points in time. First, we classify changes of sub-regions into categories and then mathematically formulate the detection of changes of sub-regions. Second, we eliminate systematic positional displacement. Third, we match sub-regions between two tessellations using a representative point of each sub-region. Fourth, we match boundaries between the tessellations and also detect topological errors. Fifth, we judge whether or not matched boundaries should be considered the same. Sixth, we detect the changes of sub-regions by eliminating matched boundaries which are considered different at the previous step. Last, we apply the proposed methods to the U.S. Census data, and conclude with future work.

Url: https://ci.nii.ac.jp/naid/10016621032/

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Authors: Atsushi, MASUYAMA

Periodical (Full): Theory and Applications of GIS

Issue: 1

Volume: 13

Pages: 11-20

Data Collections: IPUMS USA

Topics: Population Data Science

Countries: United States