Map Smoothing
Map Smoothing is a spatial data processing technique used in precision agriculture that reduces noise and irregularities in yield maps by applying mathematical or statistical filters to enhance the visual interpretability and accuracy of spatial patterns.
21
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718
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49
Authors
22
Institutions
Publications per year
2017–2026
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21
Smoothing Regional Maps Using Empirical Bayes Predictors
Noel Cressie · Geographical Analysis · 1992 · 106 citations · Full text
Computing, Biostatistics, Geography +15
Evaluation of spatial filters to create smoothed maps of health data
Thomas O. Talbot, Martin Kulldorff, Steven P. Forand et al. · Statistics in Medicine · 2000 · 100 citations · Full text
Interpolation-based super-resolution land cover mapping
Feng Ling, Yun Du, Xiaodong Li et al. · Remote Sensing Letters · 2013 · 78 citations
Properties of MEG tomographic maps obtained with spatial filtering
Lars Timmermann, Jan Kujala, Riitta Salmelin et al. · NeuroImage · 2003 · 67 citations
Waldo Tobler · The American Cartographer · 1986 · 47 citations
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University of Bonn
Bonn, Germany
3 h-index
5 publications
68 citations
New York State Department of Health
Albany, United States
2 h-index
4 publications
145 citations

Universidad de Alcalá
Alcalá de Henares, Spain
2 h-index
9 publications
161 citations
HTW Berlin - University of Applied Sciences
Berlin, Germany
1 h-index
2 publications
48 citations
Iowa State University
Ames, United States
1 h-index
1 publications
106 citations
Heinrich Heine University Düsseldorf
Düsseldorf, Germany
1 h-index
3 publications
201 citations

University of Aberdeen
Aberdeen, United Kingdom
1 h-index
2 publications
48 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
2 publications
48 citations
1–8 of 22
3 publications · 149 citations
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Repository · 2 publications · 24 citations
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1 publications · 67 citations
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1 publications · 24 citations
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Repository · 1 publications · 20 citations
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