Name
Abstract | ||
|---|---|---|
Given the decentralized computing environment for managing landscape resources in Shanghai, China, this paper introduces a Distributed GIS application to support a more efficient and effective approach for resource management. Four critical computing issues related to such a Distributed GIS are addressed: (1) large image management, (2) time dimension management, (3) network communication of geospatial information within the computer network, and (4) spatial data access through a spatial data engine. This paper suggests possible solutions to these four issues and illustrates how general landscape management functions are implemented through a Distributed GIS. This paper also offers some insights on the design and development of a Distributed GIS. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1080/10824000509480598 | Annals of GIS |
Keywords | Field | DocType |
time scaled spatial data model,distributed gis,landscape,image library,resource manager,spatial data,computer network | Geospatial analysis,Spatial analysis,Resource management,Data science,Data mining,Decentralized computing,AM/FM/GIS,Enterprise GIS,Geography,Distributed GIS,Multiple time dimensions | Journal |
Volume | Issue | Citations |
11 | 1 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Zhu | 1 | 11 | 5.35 |
| Chaowei Yang | 2 | 841 | 56.47 |
| David Wong | 3 | 173 | 21.12 |
| Menas Kafatos | 4 | 116 | 29.42 |