Articles with "multivariate spatial" as a keyword



STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity

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Published in 2022 at "International Journal of Geographical Information Science"

DOI: 10.1080/13658816.2022.2053980

Abstract: Abstract Spatial clustering has been widely used for spatial data mining and knowledge discovery. An ideal multivariate spatial clustering should consider both spatial contiguity and aspatial attributes. Existing spatial clustering approaches may face challenges for… read more here.

Keywords: spatial clustering; method; spatial contiguity; multivariate spatial ... See more keywords
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High Performance Multivariate Geospatial Statistics on Manycore Systems

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Published in 2021 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2021.3071423

Abstract: Modeling and inferring spatial relationships and predicting missing values of environmental data are some of the main tasks of geospatial statisticians. These routine tasks are accomplished using multivariate geospatial models and the cokriging technique. The… read more here.

Keywords: performance; multivariate spatial; multivariate geospatial; geospatial statistics ... See more keywords

Spatial Functional Outlier Detection in Multivariate Spatial Functional Data

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Published in 2024 at "Sains Malaysiana"

DOI: 10.17576/jsm-2024-5306-18

Abstract: Multivariate spatial functional data consists of multiple functions of time-dependent attributes observed at each spatial point. This study focuses on detecting spatial outliers in spatial functional data. Firstly, we develop a new method called Mahalanobis… read more here.

Keywords: functional outliers; multivariate spatial; functional data; spatial functional ... See more keywords

Moran’s I for Multivariate Spatial Data

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Published in 2024 at "Mathematics"

DOI: 10.3390/math12172746

Abstract: Moran’s I is a spatial autocorrelation measure of univariate spatial data. Therefore, even if p spatial data exist, we can only obtain p values for Moran’s I. In other words, Moran’s I cannot measure the… read more here.

Keywords: moran multivariate; spatial data; spatial autocorrelation; multivariate spatial ... See more keywords