Abstract

In this paper, the geoecological information-modeling system (GIMS) is described as possible improvement of the Big Data approach. The main GIMS function is the use of algorithms and models that capture the fundamental processes controlling the evolution of the climate–nature–society (CNSS) system. The GIMS structure includes 24 blocks that realize a series of models and algorithms for global big data processing and analysis. The CNSS global model is the basic block of the GIMS. The operational tools of GIMS are demonstrated by examining several scenarios associated with the reconstruction of forest areas. It is shown that significant impacts on forests can lead to global climate variations on a large scale.

Highlights

  • Present civilization development advances the problems of assessment and forecasting of the expected climate changes and related variations in habitat of humans and animals

  • This paper provides a description of the approach and methodology to be used to solve the problem of sustainable development of the climate–nature–society system (CNSS) taking into account both natural and demographic processes

  • The Earth Observing System Data and Information System (EOSDIS) and Socioeconomic Data and Applications Data Center (SEDAC) data combined processing can play a key role in the NSS sustainable development problem solution using the geoecological information-modeling system (GIMS) approach (Krapivin & Shutko, 2012)

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Summary

Introduction

Present civilization development advances the problems of assessment and forecasting of the expected climate changes and related variations in habitat of humans and animals. The beginning and expansion of dangerous natural processes leading to the loss of people and economic damages is one of the main problems of environmental monitoring data processing. The complexity of this problem is related to the heterogeneity and multi-formity of available information from various sources such as Earth monitoring systems and existing databases (Sudmanns, Tiede, Lang, & Baraldi, 2017). Human civilization must solve a more important problem of sustainable development between nature and society. Key aspects of GIMS have been discussed in many publications (Cracknell, Krapivin, & Varotsos, 2009a, 2009b; Krapivin & Shutko, 2012; Krapivin, Shutko, Chukhlantsev, Golovachev, & Phillips, 2006; Krapivin, Varotsos, & Soldatov, 2015)

Big Data Approach and global sustainable development problems
The GIMS as Big Data Approach improvement
Conclusions
Findings
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