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GIScience & Remote Sensing Volume 52, 2015 - Issue 1
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Original Articles

A k-d tree-based algorithm to parallelize Kriging interpolation of big spatial data

Haitao WeiState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, China;College of Geomatics, Shandong University of Science and Technology, Shandong266510, ChinaView further author information
,
Yunyan DuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, ChinaCorrespondence[email protected]
View further author information
,
Fuyuan LiangDepartment of Geography, Western Illinois University, 1 University Circle, Macomb, IL61455, USAView further author information
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Chenghu ZhouState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, ChinaView further author information
,
Zhang LiuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, ChinaView further author information
,
Jiawei YiState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, ChinaView further author information
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Kaihui XuCollege of Geomatics, Shandong University of Science and Technology, Shandong266510, ChinaView further author information
&
Di WuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, ChinaView further author information
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Pages 40-57 | Received 20 May 2014, Accepted 10 Dec 2014, Published online: 29 Jan 2015

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R. R. Antunes, T. Blaschke, D. Tiede, E. S. Bias, G. A. O. P. Costa & P. N. Happ. (2019) Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification. GIScience & Remote Sensing 56:4, pages 536-553.
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Weixing Zhang, Weidong Li, Chuanrong Zhang & Tian Zhao. (2019) Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields. International Journal of Digital Earth 12:5, pages 566-582.
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Xiaochuang Yao & Guoqing Li. (2018) Big spatial vector data management: a review. Big Earth Data 2:1, pages 108-129.
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Peichao Gao, Zhao Liu, Fei Han, Lei Tang & Meihui Xie. (2015) Accelerating the computation of multi-scale visual curvature for simplifying a large set of polylines with Hadoop. GIScience & Remote Sensing 52:3, pages 315-331.
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Dojin Choi, Jiwon Wee, Sangho Song, Hyeonbyeong Lee, Jongtae Lim, Kyoungsoo Bok & Jaesoo Yoo. (2023) k-NN Query Optimization for High-Dimensional Index Using Machine Learning. Electronics 12:11, pages 2375.
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Weiwei Han. (2023) Reference: An algorithm for recognizing the main melody of orchestral music based on artificial intelligence of music melody contour. Applied Mathematics and Nonlinear Sciences 0:0.
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Abdulaziz Shehab, Ahmed Elashry, Ahmed Aboul-Fotouh & Alaa Riad. (2023) An Enhanced Partitioning Approach in SpatialHadoop for Handling Big Spatial Data. International Journal of Computational Intelligence Systems 16:1.
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Ahmed Abubahia, Mohamed Bader-El-Den & Ella Haig. 2021. Intelligent Computing. Intelligent Computing 524 542 .
Didier Rullière, Nicolas Durrande, François Bachoc & Clément Chevalier. (2017) Nested Kriging predictions for datasets with a large number of observations. Statistics and Computing 28:4, pages 849-867.
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Yueheng Zhang, Xinqi Zheng, Zhenhua Wang, Gang Ai & Qing Huang. (2018) Implementation of a Parallel GPU-Based Space-Time Kriging Framework. ISPRS International Journal of Geo-Information 7:5, pages 193.
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Guangsheng Chen, Pei Nie & Weipeng Jing. (2018) A Novel Query Method for Spatial Data in Mobile Cloud Computing Environment. Wireless Communications and Mobile Computing 2018, pages 1-11.
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Gang Mei, Liangliang Xu & Nengxiong Xu. (2017) Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit. Royal Society Open Science 4:9, pages 170436.
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Xiaochuang Yao, Mohamed F. Mokbel, Louai Alarabi, Ahmed Eldawy, Jianyu Yang, Wenju Yun, Lin Li, Sijing Ye & Dehai Zhu. (2017) Spatial coding-based approach for partitioning big spatial data in Hadoop. Computers & Geosciences 106, pages 60-67.
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Gang Mei, Nengxiong Xu & Liangliang Xu. (2016) Improving GPU-accelerated adaptive IDW interpolation algorithm using fast kNN search. SpringerPlus 5:1.
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Hongda Hu, Hong Shu, Zhiyong Hu & Jianhui Xu. (2016) Using compute unified device architecture-enabled graphic processing unit to accelerate fast Fourier transform-based regression Kriging interpolation on a MODIS land surface temperature image. Journal of Applied Remote Sensing 10:2, pages 026036.
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