A grid-based approach to massive geospatial data management

Author(s):  
Guo Cheng ◽  
Wei Xiong ◽  
Ning Jing
2009 ◽  
pp. 793-800
Author(s):  
Petr Horak ◽  
Karel Charvat ◽  
Martin Vlk

Author(s):  
Joyce Gosata Maphanyane ◽  
Read Brown Mthanganyika Mapeo ◽  
Sethunya Simela

Chapter 19 and Chapter 20 are on the emerging approaches to data management for a new geospatial science research. This chapter gives the essences and the methodologies of data matter perspective, and it has two sections; Section A highlights the subject theme; the essences of geospatial science data matter; while Section B expands that into the geospatial science data methodologies. Chapter 20 is the about the data management optimization perspective. It has only one section; Section C, that develops further the essence and methodologies of geospatial data cultivated in these two previous sections. The whole analytical discussion is in the emerging fields and how they had optimized and totally changed the geospatial science data management panorama.


2013 ◽  
pp. 1773-1793
Author(s):  
Hugo Martins ◽  
Jorge G. Rocha

Since the authors were able to design all the supporting software, all syntactical interoperability was guaranteed by the use of Open Geospatial Consortium (OGC) standards. The semantic interoperability was assured by design, by developing a unique data model. Data invariants are guaranteed either by the interface, with validation routines written in Javascript, or by the data constrains included in the database. Integration and interoperability with other BT programs might require some additional effort, but all the necessary semantic translation could be encapsulated into the WFS component.


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