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Emerging Approaches to Data Management for a New Geospatial Science Research: The Data Management Optimization Perspective

Emerging Approaches to Data Management for a New Geospatial Science Research: The Data Management Optimization Perspective
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Author(s): Joyce Gosata Maphanyane (University of Botswana, Botswana), Read Brown Mthanganyika Mapeo (University of Botswana, Botswana)and Sethunya Simela (University of Botswana, Botswana)
Copyright: 2018
Pages: 17
Source title: Handbook of Research on Geospatial Science and Technologies
Source Author(s)/Editor(s): Joyce Gosata Maphanyane (University of Botswana, Botswana), Read Brown Mthanganyika Mapeo (University of Botswana, Botswana)and Modupe O. Akinola (University of Lagos, Nigeria)
DOI: 10.4018/978-1-5225-3440-2.ch020

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Abstract

This chapter is a continuation of themes discussed in Chapter 19. It draws attention to the newly emerging fields and the growth they injected in geospatial science research procedures. It analytically examines the new fields' role in data management optimization perspectives that emanate from the history of their developments and applications. A robust and rigorous data science methodology framework necessary for the success of a geospatial science research has been submitted, its components and challenges thereof are scrutinized. The overall analyses indicate increased growth in the collaborative efforts and a quantum leap in geospatial science technological development. The superior ICT tools: the Internet, communication networks; high performance computer infrastructure and sophisticated software algorithms: Big Data and cloud computing; increase in accuracy for geo-referencing tools: the GPS and other systems like CORS; and lastly increase in availability of geospatial data including the satellite images and hyperspectral data.

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