Spatial Smoothing and Spatial Interpolation

Quantitative Methods and Applications in GIS ◽

10.1201/9781420004281.ch3 ◽

2006 ◽

pp. 35-53

Keyword(s):

Spatial Interpolation ◽

Spatial Smoothing

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Spatial Smoothing and Spatial Interpolation

Quantitative Methods and Applications in GIS ◽

10.1201/9781420004281-11 ◽

2006 ◽

pp. 67-88

Keyword(s):

Spatial Interpolation ◽

Spatial Smoothing

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Global satellite observational data optimization using Kolmogorov’s spatial interpolation method for measurements of the atmospheric CO2 concentration

Kosmìčna nauka ì tehnologìâ ◽

10.15407/knit2010.06.011 ◽

2010 ◽

Vol 16 (6) ◽

pp. 11-15

Author(s):

L.F. Dargeyko ◽

◽

V.I. Lyalko ◽

O.D. Fedorovskyi ◽

Yu.V. Kostyuchenko ◽

...

Keyword(s):

Observational Data ◽

Spatial Interpolation ◽

Interpolation Method ◽

Co2 Concentration ◽

Atmospheric Co2 ◽

Atmospheric Co2 Concentration ◽

Spatial Interpolation Method ◽

Data Optimization

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Analysis of Spatial Smoothing Effect of Short-term Fluctuation of Global Solar Radiation based on the Data Including Quantization Error

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.131.413 ◽

2011 ◽

Vol 131 (5) ◽

pp. 413-420 ◽

Cited By ~ 1

Author(s):

Yosuke Ue ◽

Ryoichi Hara ◽

Hiroyuki Kita ◽

Yutaka Saito ◽

Katsuyuki Takitani ◽

...

Keyword(s):

Solar Radiation ◽

Global Solar Radiation ◽

Quantization Error ◽

Smoothing Effect ◽

Spatial Smoothing ◽

Short Term ◽

Term Fluctuation

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Accuracy Comparison of Air Temperature Estimation using Spatial Interpolation Methods according to Application of Temperature Lapse Rate Effect

Journal of Climate Change Research ◽

10.15531/ksccr.2014.5.4.323 ◽

2014 ◽

Vol 5 (4) ◽

pp. 323 ◽

Cited By ~ 2

Author(s):

Yong Seok Kim

Keyword(s):

Air Temperature ◽

Spatial Interpolation ◽

Rate Effect ◽

Lapse Rate ◽

Temperature Estimation ◽

Temperature Lapse Rate ◽

Interpolation Methods ◽

Accuracy Comparison ◽

Air Temperature Estimation ◽

Spatial Interpolation Methods

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Emulating a mobile spatially distributed sensor by mobile pointwise sensors in state estimation of partial differential equations via spatial interpolation

2017 American Control Conference (ACC) ◽

10.23919/acc.2017.7963447 ◽

2017 ◽

Cited By ~ 4

Author(s):

Michael A. Demetriou

Keyword(s):

Partial Differential Equations ◽

Differential Equations ◽

State Estimation ◽

Spatial Interpolation ◽

Partial Differential ◽

Distributed Sensor ◽

Spatially Distributed

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Error analysis of spatial interpolation of soil texture under different sampling schemes

CHINESE JOURNAL OF ECO-AGRICULTURE ◽

10.3724/sp.j.1011.2014.30709 ◽

2014 ◽

Vol 22 (2) ◽

pp. 217-224

Author(s):

Houlong JIANG ◽

Shuduan LIU ◽

Anding XU ◽

Chao YANG

Keyword(s):

Error Analysis ◽

Soil Texture ◽

Spatial Interpolation ◽

Sampling Schemes

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Spatial Interpolation of Meteorologic Variables in Vietnam using the Kriging Method

Journal of Information Processing Systems ◽

10.3745/jips.02.0016 ◽

2015 ◽

Keyword(s):

Spatial Interpolation ◽

Kriging Method

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Simplified realisation method of modified spatial smoothing technique

Electronics Letters ◽

10.1049/el:19880799 ◽

1988 ◽

Vol 24 (18) ◽

pp. 1176 ◽

Cited By ~ 1

Author(s):

S. Park ◽

C.K. Un

Keyword(s):

Spatial Smoothing ◽

Smoothing Technique

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Using spatial smoothing to model a functional regression estimator to points on a lattice with application to surface-level ozone in the Eastern United States

Environmental and Ecological Statistics ◽

10.1007/s10651-021-00505-4 ◽

2021 ◽

Author(s):

Brook T. Russell ◽

William C. Porter

Keyword(s):

United States ◽

Functional Regression ◽

Regression Estimator ◽

Eastern United States ◽

Spatial Smoothing ◽

Surface Level

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