ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001 
423 
). It is too 
er map for 
ale spatial 
scale map 
of spatial 
and new 
ses cann’t 
oatial data 
data in the 
iment of 
i-oriented, 
l-oriented, 
phase of 
atial data 
he spatial 
hich come 
icture, the 
onment of 
i-oriented, 
l-oriented, 
ital earth 
al DSS by 
e and the 
:s that are 
¡work of 
atial data 
i to query 
antents in 
nage the 
a. 
lation of 
spatial data 
The main aim of the aggregation of spatial data is to study 
how to apply the technology of the mutual operation, 
transformation, integration and generalization for supporting the 
integration of multi-source data sets which have multi-semantic 
character, the multi-spatiotemporal character, multi-scale 
character, multi-mode character, multi-format character. Its 
research fields contain the mutual operation, transformation, 
integration and generalization. 
2.1.3 Research and establishment for the management of 
spatial data warehouse 
According to Digital Earth calSng for the sharing of spatial 
information, the main subject of the spatial data warehouse is 
research how to manage multi-source data sets, that are the 
spatial data, the thematic data and the temporal data. Its main 
contents are to how to design the conceptual mode, physical 
mode, logic mode and systematic structure for the management 
of spatial data warehouse. 
2.1.4 Research for the analysis of spatial data 
According to Digital Earth calling for the analysis of spatial 
information, it is main suppose for the analysis of spatial data to 
analyze the integration data sets of the spatial data and the 
thematic data. Its main research contents are the conformation 
analysis, the overlay analysis, the buffer analysis, the connection 
analysis, the network analysis, the statistic analysis, the Cube 
analysis. 
2.1.5 Research for the selection of multi-scale spatial data 
Its aim is to build up some scale spatial databases, to select 
data according to geographic feature grade, to code geographic 
feature, to construct generalization model of geographic feature 
and to design the multi-scale map symbolic base. 
2.2 the functional structure 
The functional structure of the spatial data warehouse is 
composed of the functional flow chart, the network structure and 
the hardware & software environment that are drawn below(refer 
with Fig. 1, Fig.2, Fig.3): 
3 Conclusion 
The theory and technology of data warehouse is created in 
ninety. In metaphase of ninety ages, data warehouse is 
developed very well. In USA, data warehouse is a hot technology 
after Internet. So far, the theory and technology of spatial data 
warehouse is begun to study. Its purpose is to support the 
development for the digital earth development, the spatial data 
integration and the spatial DSS. Hence, we should catch hold of 
this opportunity of development of data warehouse to study and 
establish the spatial data warehouse for supporting our country 
NSDI. 
CONFERENCES 
[1] ESRI.ESRI Open Strategy -White Papers on SDE/CAD Client 
& Spatial Data Warehousing. 1998 
HTTP://www.Esri/com/base/compav/openqis 
[2] National Information Infrastructure (Nil). 
http://nii.nist.gov/nii/niiinfo.html 
[3] Robert Laurini. Spatial multi-database topological continuity 
and indexing: a step towards seamless GIS data 
interoperability. INT.j. GIS, 1998,12 (4) 
[4] Joyce Bischoff. Ted Alexander. Data Warehouse, Practical 
Advice from the Experts. Prentice Hall Inc. 1997