How to Construct Data Infrastructure Based on Grid Square Statistics

Aki-Hiro Sato () and Hiroe Tsubaki ()
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Aki-Hiro Sato: Yokohama City University, Department of Data Science, Graduate School of Data Science
Hiroe Tsubaki: The Institute of Statistical Mathematics

Chapter Chapter 5 in Evaluation Platform of Sustainability for Global Systems, 2024, pp 67-81 from Springer

Abstract: Abstract Grid square statistics—a kind of spatial statistics—is useful as a tool for analyzing, comparing and synthesizing statistics regarding anonymization. This chapter proposes how a data cube (linked open data) of World Grid Square Statistics can be constructed based on data collected from a range of sources, such as official statistics, satellite imagery, and point data from Internet providers. We present a definition of our World Grid Square coding system and a method of generating grid square statistics. We further propose a system for providing grid square statistics in a number of specific areas regarding their context and demonstrate their application to a data visualization and analytics platform.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-2296-9_5

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DOI: 10.1007/978-981-97-2296-9_5

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