Spatial Data Cleaning
Spatial Data Cleaning is a systematic process within vector data processing that identifies, corrects, and removes geometric and topological inconsistencies, attribute inaccuracies, and positional errors in spatial datasets to ensure data quality and integrity.
41
Publications
1.6K
Citations
163
Authors
94
Institutions
Publications per year
2017–2026
14
Variants
Spatial Data Cleansing
41
A guide to pre‐processing high‐throughput animal tracking data
Pratik Rajan Gupte, Christine E. Beardsworth, Orr Spiegel et al. · Journal of Animal Ecology · 2021 · 138 citations · Full text
Computing, Animal Sciences, Zoology +14
Smoothing and cleaning up slivers
Herbert Edelsbrunner, Xiangyang Li, Gary L. Miller et al. · 2000 · 73 citations
Computing, Computer Science, Geographic Information Science +12
1–5 of 41
163
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2
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2
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2
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State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China
2 publications · 28 citations
2
h-index
1–5 of 163
94
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
4 h-index
11 publications
304 citations
Wuhan University
Wuhan, China
4 h-index
11 publications
271 citations
Aalborg University
Aalborg, Denmark
3 h-index
10 publications
334 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
2 h-index
2 publications
22 citations

International Islamic University Malaysia
Kuala Lumpur, Malaysia
2 h-index
10 publications
110 citations
Duke University
Durham, United States
2 h-index
2 publications
95 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
4 publications
65 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
14 citations
1–8 of 94
2 publications · 174 citations
2
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2 publications · 31 citations
2
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2 publications · 22 citations
2
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IJGI · 2 publications · 44 citations
2
h-index
1 publications · 72 citations
1
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1–5