Spatial Data Discovery
Spatial Data Discovery is a method within the domain of geographic information science that enables the systematic identification, location, and retrieval of spatial datasets from distributed repositories through metadata indexing, semantic enrichment, and spatial-temporal querying capabilities.
28
Publications
782
Citations
119
Authors
61
Institutions
Publications per year
2017–2026
8
Parents
28
Cloud Model-Based Spatial Data Mining
Shuliang Wang, Deren Li, Wenzhong Shi et al. · Annals of GIS · 2003 · 50 citations
Best practices for publishing, retrieving, and using spatial data on the web
L. van den Brink, Payam Barnaghi, Jeremy Tandy et al. · Semantic Web · 2018 · 43 citations · Full text
Rule‐Based Discovery in Spatial Data Infrastructure
Michael Lutz, Dave Kolas · Transactions in GIS · 2007 · 40 citations
1–5 of 28
119
2
h-index
2
h-index
1
h-index
1
h-index
1
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1–5 of 119
61
Joint Research Centre
Ispra, Italy
2 h-index
2 publications
83 citations
Wuhan University
Wuhan, China
2 h-index
4 publications
166 citations
Institute of Atmospheric Pollution Research
Monterotondo, Italy
2 h-index
2 publications
52 citations

The University of Melbourne
Melbourne, Australia
2 h-index
4 publications
72 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
6 publications
118 citations

Universidad Politécnica de Madrid
Madrid, Spain
2 h-index
2 publications
58 citations
National Research Council
Rome, Italy
2 h-index
2 publications
52 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
1 h-index
1 publications
76 citations
1–8 of 61
IJGI · 3 publications · 80 citations
3
h-index
3 publications · 70 citations
3
h-index
2 publications · 30 citations
2
h-index
1 publications · 11 citations
1
h-index
1 publications · 50 citations
1
h-index
1–5