Distributed Spatial Analysis
Distributed Spatial Analysis is a computational framework within Distributed Geographic Information Systems that enables the processing and analysis of geospatial data across multiple interconnected nodes or locations, distinguished by its ability to handle large-scale spatial datasets through parallelized operations and decentralized resource coordination.
18
Publications
888
Citations
50
Authors
33
Institutions
Publications per year
2017–2026
4
18
Estimating Linear Models with Spatially Distributed Data
Patrick Doreian · Sociological Methodology · 1981 · 169 citations
1–5 of 18
50
1
h-index
Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland
1 publications · 74 citations
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 50
33
George Mason University
Fairfax, United States
2 h-index
4 publications
71 citations
Arizona State University
Tempe, United States
1 h-index
2 publications
88 citations
Oregon State University
Corvallis, United States
1 h-index
1 publications
126 citations
University of Ferrara
Ferrara, Italy
1 h-index
1 publications
138 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
2 publications
88 citations
Tsinghua University
Beijing, China
1 h-index
1 publications
20 citations
University of Southern Mississippi
Hattiesburg, United States
1 h-index
2 publications
22 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
1 h-index
1 publications
12 citations
1–8 of 33
1 publications · 55 citations
1
h-index
1 publications · 12 citations
1
h-index
JGSA · 1 publications · 45 citations
1
h-index
ACSE · 1 publications · 87 citations
1
h-index
PNAS · 1 publications · 126 citations
1
h-index
1–5