Introduction

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

Chapter Chapter 1 in Evaluation Platform of Sustainability for Global Systems, 2024, pp 1-13 from Springer

Abstract: Abstract This chapter depicts the background and concepts of a platform designed to evaluate global systems. Sustainability is a crucial concern within our socioeconomic-environmental systems and is formalized as multi-dimensional optimization problems containing several key performance indicators. Big data has enabled us to analyze and improve our world from a holistic point of view. Moreover, geospatial big data enhances the understanding of sustainability from regional aspects. However, they have several challenges from data and computation points of view. The utilization of Grid Square statistics can contribute to addressing critical issues to evaluate the sustainability of our world by enabling us to share and compute data and statistics in a reasonable way based on their ability on discretization or digitalization. Furthermore, this chapter addresses the purpose and motivation of this book and its structure.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-97-2296-9_1

Ordering information: This item can be ordered from
http://www.springer.com/9789819722969

DOI: 10.1007/978-981-97-2296-9_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().