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Geographical big data and data mining: A new opportunity for “water-energy-food” nexus analysis
Since the Bonn 2011 conference, the “water-energy-food” (WEF) nexus has aroused global concern to promote sustainable development. The WEF nexus is a...
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Big Data Analytic Platforms
This chapter defines the basic concepts of big data analytic platforms. Big data analytic platforms can be classified by different criteria. There...
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Geospatial Big Data Platforms: A Comprehensive Review
Over the past decade, big data incorporating a spatial component “GEOSPATIAL BIG DATA” has become a global focus, increasingly attracting the...
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Remote Sensing Big Data
This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with...
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Elements of an infrastructure for big urban data
Big Data provides a significant challenge to the practices that have evolved based on traditional sources of urban data. The variety of Big Data...
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Remote Sensing Big Data Management
Remote sensing big data management covers aspects of governance, curation, organization, administration, and dissemination—data discovery (both...
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Remote Sensing Big Data Computing
This chapter covers computing platforms that are fit for remote sensing big data computing. The evolution of the geospatial computing environment is...
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Standards for Big Data Management
This chapter reviews major standards that are fit for remote sensing big data. Two groups of standards are reviewed: metadata standards and data...
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Towards a new paradigm for segregation measurement in an age of big data
Recent theoretical and methodological advances in activity space and big data provide new opportunities to study socio-spatial segregation. This...
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Special Features of Remote Sensing Big Data
This chapter briefly covers the five core dimensions of remote sensing big data, that is, volume, variety, velocity, veracity, and value. There are...
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An analysis of agglomeration structure for Bei**g, Tian**, and Hebei based on spatial-temporal big data
The Bei**g-Tian**-Hebei integration plan rose to the status of a national-level strategy in 2014. This paper provides a deep analysis of the...
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Big Data Analytics for Remote Sensing: Concepts and Standards
This chapter covers concepts of big data analytics in general, including definitions, categories, and use case overview. Processes and requirements...
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Geospatial Big Data Initiatives in the World
The chapter review major big data initiatives that have a geospatial component of remote sensing and Earth Observations. These include initiatives in...
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Machine Learning and Data Mining Algorithms for Geospatial Big Data
This chapter focuses on strategies to extend and adapt traditional machine learning algorithms for remote sensing and geospatial big data. Ten major...
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Algorithmic Design Considerations of Big Data Analytics
An algorithm is evaluated primarily in two metrics—temporal and spatial complexity. This chapter presents algorithm design challenges for remote...
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Big Data Analysis for Sustainable Land Management on Geospatial Cloud Framework
The advancements of the 1980s led to the creation of various important technologies, including GPS and satellite imagery, which allowed for the...
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Big Data Analytics for Improved Weather Forecasting and Disaster Management
Weather forecasting and agriculture is an interdisciplinary research programme based on advancements in several domains. Earth temperature is...
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Challenges and Opportunities in the Remote Sensing Big Data
This chapter discusses challenges and opportunities in remote sensing big data. Three challenges are discussed. They are data complexity, data...
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Modeling the local geography of country music concerts in U.S. urban areas: insights from big data analysis of live music events
Music cities leverage live music as a tool for urban revitalization. Identifying influential industries in U.S. urban areas that have shaped the...
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An integrated space–time framework for linkage discovery of big survey data
In the realm of survey research, establishing connections within large datasets remains a challenge. This study aims to unveil underlying connections...
