Geospatial Knowledge Discovery
Geospatial Knowledge Discovery is a systematic computational and analytical process that belongs to the genus of knowledge discovery methodologies, distinguished by its specific focus on extracting, interpreting, and transforming geographically referenced data into novel, actionable insights through spatial patterns, relationships, and trends.
193
Publications
9.3K
Citations
605
Authors
249
Institutions
Publications per year
2017–2026
48
Variants
Gkd
Parents
193
Crime Pattern Detection Using Data Mining
Shyam Nath · 2006 · 243 citations
Social Sciences, Criminology, Crime +12
1–5 of 193
605
6
h-index
University at Buffalo, State University of New York, United States
5 publications · 632 citations
5
h-index
5
h-index
4
h-index
4
h-index
1–5 of 605
249
University of California, Santa Barbara
Santa Barbara, United States
12 h-index
39 publications
2.1K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
25 publications
1.7K citations
Wuhan University
Wuhan, China
8 h-index
21 publications
513 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
7 h-index
17 publications
702 citations
Arizona State University
Tempe, United States
7 h-index
21 publications
942 citations

Pennsylvania State University
State College, United States
7 h-index
13 publications
1.2K citations
George Mason University
Fairfax, United States
7 h-index
28 publications
1.1K citations
University of Wisconsin–Madison
Madison, United States
7 h-index
15 publications
1.1K citations
1–8 of 249
19 publications · 1.9K citations
18
h-index
6 publications · 269 citations
6
h-index
5 publications · 92 citations
5
h-index
CAGEO · 5 publications · 508 citations
5
h-index
4 publications · 140 citations
4
h-index
1–5