Titlebook: Handbook of Big Geospatial Data; Martin Werner,Yao-Yi Chiang Book 2021 Springer Nature Switzerland AG 2021 Algorithms for Big Data.Geograp

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R. D. Redin,T. Ashworth,C. Y. Hsiungrstand movement processes are confronted with growing movement datasets. Yet, there are no established analysis tools that support analysts in understanding these datasets and in asking the right analysis questions. Exploratory data analysis (EDA) is an approach that helps analysts to identify the m

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Spatial Data Reduction Through Element-of-Interest (EOI) Extractionntaining geo-referenced attributes can be considered big geospatial data. The increased proliferation of big geospatial data is currently reforming the geospatial industry into a data-driven enterprise. Challenges in the big spatial data domain can be summarized as the ‘Big Vs’ – variety, volume, ve

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