Statistical Foundations About 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 4 in Evaluation Platform of Sustainability for Global Systems, 2024, pp 49-65 from Springer

Abstract: Abstract This chapter introduces the statistical properties of Grid Square statistics. Grid square statistics can be described as tabular expressions, especially as matrix data or a contingency table in case of summarization for frequency or categorical data. We explain how to produce Grid Square statistics from qualitative and quantitative data. We further discuss errors in Grid Square statistics created as a statistical inference based on random sampling. For example, there are several Grid Square statistics about the number of persons within a Grid Square based on logs of mobile communication such as mobile phones and Wi-Fi base stations and land cover categorization produced by satellite images. Moreover, we confirm basic arithmetic operations between Grid Square statistics and explain the most fundamental procedure to convert Grid Square statistics on one Grid coordinate system into Grid Square statistics on another Grid coordinate system with concrete examples.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-2296-9_4

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DOI: 10.1007/978-981-97-2296-9_4

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