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
