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

occult

http://image.papertrans.cn/h/image/420876.jpg

GIST

https://doi.org/10.1007/978-3-030-55462-0Algorithms for Big Data; Geographic Information Science; Uncertain Databases; Spatial Databases; Histori

名字

窃喜

Semantic Trajectories Data ModelsSemantic trajectories is a major paradigm for the representation of movement data, complementary to spatial trajectories. In this article, we introduce key concepts, focusing in particular on the structural properties of semantic trajectories. Hence, we discuss a possible taxonomy of semantic trajectory models, based on their purpose.

chance

Book 2021l data: a societal, governmental, and governance perspective. It discusses questions ofhow the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary

飞行员

the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary978-3-030-55464-4978-3-030-55462-0

motor-unit

Aids209

https://doi.org/10.1007/978-3-0348-6719-1 al. .), and variation in sea levels (Woodworth et al. .), (2) Urban planning: assisting government in city/regional planning, road network design, and transportation/traffic engineering, (3) Commerce and advertisement (Dhar and Varshney .): e.g., point-of-interest (POI) recommendation services. The

钉牢

Atoms, Small, and Large Molecules,sents current state-of-the-art methods to create EOI from some types of georeferenced big data. We classify the data types into two realms: active and passive. Active data are those collected specifically for the purpose to which they are applied. Passive data are those collected for purposes other

ABIDE

Alhussein Albarbar,Canras Batunluhapter, we investigate solutions relying on the Semantic Web technologies for the description of the evolution of geographic divisions over time. We investigate how these technologies may enhance the understanding of the territorial dynamics over time, providing statisticians, researchers, citizens