A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Spatial Big Data and Urban Analytics: An Introduction
Big data refers to the large volumes of data collected by several sensors to monitor natural or anthropogenic activities. These data are temporal in nature and come in various forms, volume, and frequencies. Most of these have a geographical connotation and hence are essentially considered as spatial big data. Treating big data statistically can derive several insights. But spatial analytics add another dimension to the insights which make it critical for decision making. In this chapter, the fundamentals of spatial big data and analytics are discussed from a data science perspective. It also discusses the urban applications of spatial big data analytics.
Spatial Big Data and Urban Analytics: An Introduction
Big data refers to the large volumes of data collected by several sensors to monitor natural or anthropogenic activities. These data are temporal in nature and come in various forms, volume, and frequencies. Most of these have a geographical connotation and hence are essentially considered as spatial big data. Treating big data statistically can derive several insights. But spatial analytics add another dimension to the insights which make it critical for decision making. In this chapter, the fundamentals of spatial big data and analytics are discussed from a data science perspective. It also discusses the urban applications of spatial big data analytics.
Spatial Big Data and Urban Analytics: An Introduction
Advances in 21st Century Human Settlements
Kundu, Sandeep Narayan (editor) / Kundu, Sandeep Narayan (author)
2022-01-03
9 pages
Article/Chapter (Book)
Electronic Resource
English
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