ul 2004
ort and
r XML
o easily
sed and
helps to
aims to
ographic
zuage to
nts. The
formance
plication
ess any
ind GML
including
ing users
heir own
'esents a
tions.
to. clearly
me in the
represent
particular
raw clear
rpretation
| about the
the world.
rs or line
> the GML
reographic
ay formats
or Markup
3D. [Lake,
)THER
three maps
maps were
anjan. First
d tree files
second map
ng a GML
vas in SVG
features and
Adobe SVG
of occupied
he smallest,
cluding both
are usually
International Archives of the Photogrammetry, Remote Sensing
a
mane 9 — 0 08
C3 SMART Explorer: sdGid [0] selected
Fe ER Vert Help
lcstureName CR. dataFeatur] ^
sdobid "n
eType 2 (Polggon)
Interpretation 1
vertexj0] (218815 207004,
vertex{t] (212620.563080,
vertexi2] (212398, 25.
vertex]3] (2132793.17:
vertexda] (213767 .0772006,
vertesds] (213785. 000080,
vertex{6] (213635.297080.
vertex{?] (213601.78 1900
vertexj6] (213599531000 x >
vertexfa] (213694,063088. e.
vertex]t0] 4212835.292000, {
vertex{11] k
(213968.75000
e
€
Att i
Fig 4. Third map in SVG format
Table 1. Comparison
Format Size (KByte)
Shapefile 197
GML 283
SVG 219
7. TRACKING A VEHICLE USING SVG
A program is developed to display tracking points of a moving
vehicle in Iranian roads, as an SVG program. A map of Iranian
roads in the form of SVG graphics is launched in web
environment. À program reads-a moving vehicle's position, in a
known period and updates the position of vehicle on the map.
1155
and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
Using SVG simplifies showing any layers of spatial data in web
and adding different functionalities and applications. Doing the
same things, by using traditional Web-GIS technologies would
cost a lot of time and skill, although the final result would not
be as good as SVG.
8. CONCLUSION
Going toward XML technology and the GML in the world of
geospatial data and also using SVG is a new approach that
overcomes a lot of existing problems. Some of the perspectives
that these new technologies show are:
* XML is a new way to go toward interoperability.
Then there is no need to use specific software for
existing data.
* XML simplifies data exchange.
* GML as an XML-based language is a new approach
for spatial data interoperability.
" GML can be regarded as a promising technology for
spatial data transformation.
=
GML presents vector maps. These maps have better
quality than those in raster image formats.
9. REFERENCES
Kim Larry, 2003, “the official xmlspy handbook”, Wiley.
Lake Ron, 2000, “Making Maps with Geography Markup
Language”.
10. ACKNOWLEGEMENT
Our best appreciation is dedicated to those who help us
through implementing the programs and guide us to
understand GML.