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

Cerumen

Big Spatial Flow Data Analytics recent years, the widespread adoption of location-aware technologies such as the GPS-enabled smartphones amass flow data at individual level, along with much finer spatiotemporal granularity and abundant semantic information. The increasing availability of big spatial flow has brought us with unpre

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狗舍

Mining Colocation from Big Geo-Spatial Event Data on GPUhose instances are frequently located together. The problem is important in many applications such as analyzing relationships of crimes or disease with various environmental factors, but is computationally challenging due to a large number of instances, the potentially exponential number of candidat

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Exploratory Analysis of Massive Movement Datarstand 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

Ethics

Spatio-Temporal Data Quality: Experience from Provision of DOT Traveler Informationsportation Institute, and now Utah State University. Ian Turnbull, recently retired from Caltrans, set the standard of “accurate, timely and reliable” for all projects he was involved with, particularly those in remote, rural areas of California, and related collaborations. Ian’s team, now headed by

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Spatial Statistics, or How to Extract Knowledge from Datartant to prove theoretical/physical models. For this reason, we initially describe classical modeling approaches in geostatistics and spatial econometrics. Moreover, we show how large spatial and spatiotemporal data can be modeled by these approaches. Therefore, we sketch selected suitable methods a

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978-3-030-55464-4Springer Nature Switzerland AG 2021

字的誤用

Martin Werner,Yao-Yi ChiangCovers current research in accessible language including references to the field, and therefore provides an ideal collection to explore the field of big geospatial data.Spans across traditionally isol