International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004
2. CASE STUDY
2.1 Structure and Tools
In this study, mapping application type is dynamic web
browser. Dynamic maps enable to choose features that will be
displayed, such as the scale, location etc.
applications, maps are drawn according to preset parameters.
And then the web browser displays the map as an image. By
changing the parameters, users can generate and view a new
map. This type causes heavy load on the server side. The server
side has geographic data, GIS softwares, and an interface
program (Figure 2). It requires also programming to provide a
map service. In this study, activex control is used to extend the
browser capabilities. When users visit the site, the control is
downloaded automatically and temporarily.
m. asie + parameters
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map
GIS
Software
GIS
Interface PEE
Program
Application
Development
Environment
Figure2: Server side model
MapObjects ActiveX software component and MapObjects
Internet Map Server (MOIMS) software are used in the study.
MapObjects is used to build the GIS application and MOIMS is
used as a gateway program. MapObjects and MOIMS are used
together with Visual Basic application development
environment. Windows XP is choosed as the operating system
and Microsoft Internet Information Server (IIS) is it's web
server. It is used to share information over the Internet. Also
Microsoft Internet Transfer Control is used to connect other
web servers and retrieve HTML documents for the application.
In order to listen requests from the users, WebLink ActiveX
Control is used. For the preparation of the spatial data ArcView,
ArcInfo, Erdas Imagine, and Microsoft Photo Editor programs
were used (Figure 3).
(MicroSoft Windows XP)
Application Development Environment
Web Server (MicroSoft Visual Basic)
(MicroSoft IIS)
Application Development Tool
(ESRI MapObjects )
Map Server Data Compilation
: v mmpiau
(ESRI MapObjects IMS) (ESRI ArcInfo, ArcView,
ERDAS Imagine, MS Photo Editor )
Figure 3: Tools
2.2 Data Acquisiton and Manipulation
Entire Turkey is the study area. Both raster and vector
geographic data types are used in the study. Raster data
represent topography and population density. Vector data
In this type of
146
represent current earthquakes, historical ^ earthquakes,
earthquake record stations, fault lines, GPS stations,
displacements by GPS, city boundaries, city centers, county
boundaries, map index, lakes, rivers, and roads. GIS data come
from different sources and in a variety of formats. For
combining multiple files on the same display, data must be in
the same spatial reference system. Figure 4 displays data from
different sources in different datums and forms.
Dias Chat of us World
USGS GTOPO30 Project
Com | http; //edcaaec
scale: 1/1,000,000 projection: geographic
format: shp (esri Cities :
fi p (esri) | Counties datum: wgs-84 ___ DEM
projection: geographic — City Centers || unit: decimal degree
; Roads |
datum: wgs-84 Lakes z-unit: meter
unit: decimal degree Rivers
ellipsoid: wgs-84
Kandilli Observatory and Earthquake Research Institute
(Bodazigi University-Turkey) http://www.koeri.boun.ed
Current Earthquakes
Historical Earthquakes
Earthquake Record Stations
Fault Lines
projection: geographic
datum: ed-50
unit: dms
projection: geographic
datum: wgs-84
unit: dms
GPS Stations
Displacements by GPS
}
Figure 4: Data, sources, and formats
Digital Elevation Model were exported to cell based grid
format. ArcView was used to classify grid data according to its
height values. In order to use raster data in MapObjects Internet
Map Server application, data were converted from grid format
to JPEG image format. And then it was converted to TIFF
format using Microsoft Photo Editor software. Because
MapObjects displays TIFF format more efficiently than JPEG
format. For population density map, ArcView and it’s scripting
language were used to calculate areas of the boundary polygons
and colorize shape file according to the population density
values. Population values of districts were added to districts
dBASE table. Density image was exported to JPEG format.
And then JPEG file was converted to TIFF format. Current
Eartquakes and Historical Earthquakes layers were symbolized
using their magnitude and depth values. Other vector layers
were symbolized with single values.
In the study, vector data format is ArcView shape file format.
Vector data downloaded from http:/www.gisdatadepot.com
DCW web site were acquired in shape file format. For other
ASCII text files which include coordinate information of
stations and earthquake parameters information, ArcView
scripting was used to convert text file to shape file format.
All of these data were in geographic coordinates relative to the
WGS-84 and ED-50 datums. Datum transformations and
coordinate conversions were performed. Data were projected to
Lambert Conformal Conic map projection. It is one of the best
for middle latitudes. ArcView can not export maps to
georeferenced images. So topographic map image and
population density map image were georeferenced to the
Lambert Conformal Conic projection by using image
processing software ERDAS Imagine.