Elevation Data Interpolation
Elevation Data Interpolation is a computational method in geospatial analysis that estimates unknown elevation values at unsampled locations by applying mathematical or statistical techniques to discrete elevation data points, distinguishing it from other terrain modeling approaches through its reliance on spatial continuity and proximity-based relationships.
32
Publications
21.7K
Citations
120
Authors
68
Institutions
Publications per year
2017–2026
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National Office of Mines
Tunis, Tunisia
1 h-index
1 publications
18 citations
Yangtze University
Jingzhou, China
1 h-index
3 publications
75 citations
United States Geological Survey
Reston, United States
1 h-index
1 publications
120 citations

University of Naples Federico II
Naples, Italy
1 h-index
1 publications
59 citations

The University of Queensland
Brisbane, Australia
1 h-index
1 publications
20.1K citations
Tauw Group (Netherlands)
Deventer, Netherlands
1 h-index
1 publications
49 citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
1 h-index
5 publications
60 citations

University of Saskatchewan
Saskatoon, Canada
1 h-index
1 publications
15 citations
1–8 of 68
1 publications · 120 citations
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1 publications · 11 citations
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1 publications · 49 citations
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1 publications · 37 citations
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1 publications · 21 citations
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