{"product_id":"evaluation-platform-of-sustainability-for-global-systems-statistical-approach-to-geospatial-information-for-big-data-integration-9789819722983","title":"Evaluation Platform of Sustainability for Global Systems: Statistical Approach to Geospatial Information for Big Data Integration","description":"\u003cp\u003e • Author(s): Aki-Hiro Sato | Hiroe Tsubaki\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Statistics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration. Grid Square statistics is a technique that allows us to collect and analyze data based on Grids and makes it easier to understand patterns and trends. Sustainability, a key concern for the future of our society, often involves balancing multiple independent objectives. These objectives and key performance indicators must be shared to solve multi-dimensional optimization problems with some constraints related to sustainability issues. However, many of these sustainability issues are challenges that are part of global systems, which are modeled as a complex system consisting of many components. Social, economic, and environmental aspects in our socio-economic systems require solutions designed for the sustainability of our society.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eThese conditions imply that Big Data must contribute to evaluating our current situation, actions, and changes to continuously change our behavior and society based on a Plan-Do-Check-Action (PDCA) cycle. The PDCA cycle, also known as the Deming cycle, is a four-step management method used to improve processes and products continuously. We must understand how to construct a platform by using Big Data to do so. Thus, extracting meaningful information from Big Data is crucially important in the advanced information society.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eThis book provides case studies based on Grid Square statistics. It shows their applications to socio-economic and environmental problems such as tourism, where we analyze visitor patterns to optimize resource allocation, SDGs indicator, where we monitor the sustainability of our socio-economic systems, and disaster management, where we face natural disaster to enhance preparedness. Finally, the book proposes a World Grid Square Statistics Reference Architecture for constructing data applications across organizations and domains and reports on design concepts, system architecture, and the implication of a data platform for World Grid Square data and statistics.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":47658227826839,"sku":"9789819722983","price":8814.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789819722983.webp?v=1775817962","url":"https:\/\/atlanticbooks.com\/products\/evaluation-platform-of-sustainability-for-global-systems-statistical-approach-to-geospatial-information-for-big-data-integration-9789819722983","provider":"Atlantic Books","version":"1.0","type":"link"}