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Content Provider | IEEE Xplore Digital Library |
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Author | Jiaogen Zhou Huanyao Liu |
Copyright Year | 2013 |
Description | Author affiliation: Changsha Res. Station for Agric. & Environ. Monitoring, Inst. of Subtropical Agric., Changsha, China (Jiaogen Zhou; Huanyao Liu) |
Abstract | Estimation of soil properties in an un-sampled location is generally calculated with observation values of a number of neighbors around the un-sampled location to reduce the computational complexity. The more similarity there is between the neighbors, the better prediction at the un-sampled location. In this paper, we proposed a spatial homogeneity-based interpolation algorithm, which finds more similar neighbors close to an unmeasured location to improve estimation performance. The algorithm imposes a constraint on interpolation process, which the estimation of soil properties at unknown locations is processed in the context of spatial homogeneity. The experimental results on real data of 196 soil Cu illustrates that the performance of the algorithm is more reliable than OK. |
Starting Page | 1 |
Ending Page | 4 |
File Size | 367478 |
Page Count | 4 |
File Format | |
ISBN | 9781467362283 |
ISSN | 2161024X |
DOI | 10.1109/Geoinformatics.2013.6626171 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-06-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | GIS Interpolation Soil properties Estimation Spatial homogeniety Spatial Interpolation Predictive models Prediction algorithms Mathematical model |
Content Type | Text |
Resource Type | Article |
Subject | Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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