Results 31 to 40 of about 4,369,639 (344)
Annual Review of Public Health, 2016 With increasing accessibility to geographic information systems (GIS) software, statisticians and data analysts routinely encounter scientific data sets with geocoded locations. This has generated considerable interest in statistical modeling for location-referenced spatial data. In public health, spatial data routinely arise as aggregates over regions,
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Learned Spatial Data Partitioning
Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2023 Due to the significant increase in the size of spatial data, it is essential to use distributed parallel processing systems to efficiently analyze spatial data. In this paper, we first study learned spatial data partitioning, which effectively assigns groups of big spatial data to computers based on locations of data by using machine learning ...
Keizo Hori +4 more
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Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities
, 2019 We propose a probabilistic model for refining coarse-grained spatial data by utilizing auxiliary spatial data sets. Existing methods require that the spatial granularities of the auxiliary data sets are the same as the desired granularity of target data.
Iwata, Tomoharu +5 more
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Human Clustering Based on Graph Embedding and Space Functions of Trajectory Stay Points on Campus
Applied SciencesSpatial big data about human mobility have been employed intensively in understanding human spatial activity patterns, which is a central topic in many applications.
Ke Xie +4 more
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Spatial interpolation of high-frequency monitoring data
, 2009 Climate modelers generally require meteorological information on regular grids, but monitoring stations are, in practice, sited irregularly. Thus, there is a need to produce public data records that interpolate available data to a high density grid ...
Stein, Michael L.
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Interpolation of nonstationary high frequency spatial-temporal temperature data [PDF]
, 2013 The Atmospheric Radiation Measurement program is a U.S. Department of Energy project that collects meteorological observations at several locations around the world in order to study how weather processes affect global climate change.
Guinness, Joseph, Stein, Michael L.
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Scene Classification of Remote Sensing Images Based on Saliency Dual Attention Residual Network
IEEE Access, 2020 Scene classification of high-resolution Remote Sensing Images (RSI) is one of basic challenges in RSI interpretation. Existing scene classification methods based on deep learning have achieved impressive performances.
Dongen Guo, Ying Xia, Xiaobo Luo
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Regularized Principal Component Analysis for Spatial Data
, 2016 In many atmospheric and earth sciences, it is of interest to identify dominant spatial patterns of variation based on data observed at $p$ locations and $n$ time points with the possibility that $p>n$. While principal component analysis (PCA) is commonly
Huang, Hsin-Cheng, Wang, Wen-Ting
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Spatial data stream multiplexing scheme for high-throughput WLANs [PDF]
, 2008 A novel scheme using spatial data stream multiplexing (SDSM) in the upcoming multiple-input multipleoutput (MIMO)-based IEEE 802.11n physical layer is proposed.
Gravalos, AG +3 more
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Moving Towards a Single Smart Cadastral Platform in Victoria, Australia
ISPRS International Journal of Geo-Information, 2020 Various jurisdictions are currently in the process of reforming their cadastral systems to achieve a smart and multidimensional system that provides a range of land administration services to the wider community.
Hamed Olfat +7 more
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