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Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
In spatial interpolation domains, a popular method is Kriging. The contribution of this study is to prove mathematically that Kriging and RBF Networks methods produce identical results if properly configured, and that RBF networks are much faster. Complexity was calculated for both methods to show the relative speed of RBF networks.
Vinicius Sousa Fazio, Mauro Roisenberg
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In spatial interpolation domains, a popular method is Kriging. The contribution of this study is to prove mathematically that Kriging and RBF Networks methods produce identical results if properly configured, and that RBF networks are much faster. Complexity was calculated for both methods to show the relative speed of RBF networks.
Vinicius Sousa Fazio, Mauro Roisenberg
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2009
Spatial interpolation is a core component of data processing and analysis in geoinformatics. The purpose of this chapter is to discuss the concept and techniques of spatial interpolation. It begins with an overview of the concept and brief history of spatial interpolation.
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Spatial interpolation is a core component of data processing and analysis in geoinformatics. The purpose of this chapter is to discuss the concept and techniques of spatial interpolation. It begins with an overview of the concept and brief history of spatial interpolation.
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Practical Spatial Statisics for Areal Interpolation [PDF]
Environment and Planning B: Planning and Design, 2012 Differences in spatial units among spatial data often complicate analyses. Spatial unit conversion, called areal interpolation, is often applied to address this problem. Of the many proposed areal interpolation methods, few consider spatial autocorrelation, which is the general property of spatial data.
Daisuke Murakami, Morito Tsutsumi
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Temporal Interpolation of Spatially Dynamic Object
GeoInformatica, 2000Summary: During the past decade there has been increasing research into the temporal component of geographic information systems (GIS). Most of the research has focused on the treatment of discrete changes in spatial objects, for example in cadastral parcels.
Zhang, Wei, Hunter, Gary J.
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Comparison discrete smooth interpolation and traditional spatial interpolation
2011 International Conference on Remote Sensing, Environment and Transportation Engineering, 2011Based on the geological and economic conditions, it is not realistic to get large number of geological data. Spatial data interpolation is the key for solving this problem, choosing a reasonable interpolation affect the accuracy of 3D geological model.
null Wen Wang +3 more
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Mechanisms of Interpolation in Human Spatial Vision.
American Journal of Ophthalmology, 1982Recently, interest has revived in the classical problems of vernier and stereoscopic acuity. The precision with which observers can align two bars in a vernier task is as high as 2 sec arc, which is much finer than the grain of the retinal receptor mosaic, where the cones are separated by 20–30 sec arc even at their most densely packed.
M J, Morgan, R J, Watt
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Spatial Interpolation and Disaggregation of Multipliers
Geographical Analysis, 2004Most non‐survey methods of estimating single‐region multipliers have been shown to produce a systematic upward bias, unless a considerable amount of “superior” data is added. Here it is argued that this conclusion does not need to apply to the case of a non‐survey, spatial disaggregation of multipliers.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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