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Figure 6: Shake map of Earthquake 7.8 M imported to the system Figure 7 shows the shake intensity map has been sketched in the system and the building layer of the country has been uploaded as a SHP file to the system (GeoFabrik 2015). The building information is a huge file, hence, we decided to limit the study on a specific administrative unit of Nepal that is affected mostly by the earthquake called as Central. The administrative units' map of Nepal was downloaded as a vector layer (Administrative units: GADM database http://www.gadm.org/). Figure 7 demonstrates the buildings that are overlaid with the central administrative unit. Figure 7: Overlay of buildings with central administrative unit in the map view of the system 226
After adding all the layer maps, there is a requirement for the update of the building information. The price per square meter in Nepal is estimated between 350 to 615 US dollars (Numbeo 2015). By having the area of each building in the database, the price of each house can be estimated roughly. Finally, the loss of each building and overall loss for the whole region are calculated. Table 2 indicates the total number of houses that are exposed in the event as well as the overall loss. This result is the preliminary result of the system based on open data and expert knowledge. The authors, therefore do not recommend others to use this result. According to the government, the earthquake destroyed 160,786 houses and more than 3 million houses were damaged (UN 2015). The result of this study shows that 3.1 million houses were exposed in the earthquake and 124,000 of the houses were exposed to the higher risk or in the absence of other information, the maximum loss shows 124 000 buildings were destroyed. Intensity Zones Number of Houses Loss Loss Exposed in the area Price: Minimum Price: Maximum cost per square cost per square meter 350 $ meter 615 $ VIII 124 000 2.1 3.6 VII 957 000 12.2 21.3 V and VI 2 000 000 13.3 23.3 Overall 3 100 000 27.6 Billions 48.2 Billions Table 2: Overall Loss for different intensity layers of the shake map 5. Conclusion Even though different tools have evolved in this field, their practice is restricted due to the complex design of the systems, flexibility and usability. There are many challenges in developing a WebGIS system. The most important ones are the lack of information and data. In order to utilize GIS and other Geo-Spatial technologies, a variety of spatial data is required. The elements-at-risk information is critical for disaster impact assessment and in this study, OSM data are used. Though this data is not a complete set, it provides a basic and more information can be added based on expert and local knowledge. Besides the estimation of loss by using open data (e.g., OSM, USGS, Numbeo and GADM database) do not involve extensive collection and can be performed fast with a modest budget. The more accurate loss estimation requires an extensive inventory at additional cost to the end user and can be employed in future works. To be mentioned, stories of the house, lifelines like water supply and transportations were not considered in this study and will be applied in further stages of this system. This paper presented the initial implementation and the background framework of a web-based GIS system for rapid impact assessment and demonstrated a preliminary result of the case study area in Central Nepal for the recent earthquake on April 2015. The full functional system is still under development in order to fulfill the lack of information, the user requirements and skilled knowledge of the earthquake experts. 227
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PROCEEDINGS Honil Gangni Yeokdae Gu
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C O N T E N T S Welcome Messages Lo
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A Week of Sharing, Learning, and Fu
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ACADEMIC TRACKS 7
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September 17, Thursday 11:00-12:15
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September 16 (Wed) & 18 (Fri) 15:05
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AUTOMATIC IMPROVEMENT OF POINT-OF-I
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In the following, we will list
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and specify their relations manuall
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Conducting a cross-validation on th
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81%. For cuisine=german, the precis
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4.3 Tourism and Leisure Tags We ide
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GENERATING GEOSPATIAL FOOTPRINTS FO
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quality assessment of geocrowdsourc
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Figure 2: The first simple case of
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Figure 5: The footprint of walkways
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say instead “Between 1st Street a
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4. DISCUSSION AND CONCLUSIONS The G
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Performance Analysis of MongoDB Vs.
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2. REVIEW OF SPATIAL DATABASES Simi
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4.2 Point Containment Problem Like
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If we observe the results above we
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esolution data (RapidEye and Landsa
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and used for calibration and coeffi
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scatter plot of RapidEye (Global (C
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is efficient to extrapolate depth f
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DYNAMIC STYLING FOR THEMATIC MAPPIN
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all) datasets on offer or applying
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3.2.1 Data inputs The styler accept
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determine the radius (both in the x
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Figure 5: Map classification of blo
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4.3 Point data Figure 8: Diverging
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4.4 Non-spatial visualisations Figu
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6 ACKNOWLEDGEMENTS The Cooperative
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educational resources (OER) and mod
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workshops have revealed that microc
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300 250 200 150 100 50 0 Figure 4.
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H 27 Male Student Maths / Geography
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5. CONCLUSIONS AND FUTURE WORK We h
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DEVELOPMENT OF DATA ARCHIVING AND D
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2. RELATED WORK Recent developments
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3. Significance and Objectives With
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Figure 3. Map Tiles Grid Selection
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The Ceph architecture comprises of
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Boundless, 2015. GeoExplorer — Ge
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Object-Based Building Boundary Extr
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2.2. A Grid-Based Algorithm A grid-
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3.1 Boundary Extraction The extract
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The Development of Web3D-based Open
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Singh et al.(2012) have utilized op
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Monitoring concept on operating asp
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(a) Mining area (Left:2007, Right:2
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geospatial information open platfor
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open platform utilized in open-pit
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Data Acquisition Methods Acquisitio
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(a) Ecological Restoring Area 1 (Le
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possibility of development of open-
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2. DATA ACQUISITION 2.1 Image gathe
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Hugin Pix4Dmapper Pablo d'Angelo et
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utit may be improved using many ste
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Wójcicka, A., and Wróbel, Z., 201
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platforms, which are easy to use an
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SWE framework proposes the followin
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Steenkamp et al. (2009) state that
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technology and are published under
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Measurement value yes Measurement s
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4.3.1 Explore The explore view allo
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Figure 8. Registration of a generic
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participants completely agree with
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467 - 471. Sohraby, K., Minoli, D.,
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In augmented reality a live view of
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Figure 4. Dwellings in an informal
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1. Gen eral crite ria 1.1. Platform
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matching, 3D engine, image tracking
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1.4. Implemented standards OGC ARML
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2.3. Object events 2.4. Display rad
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instructional videos, and basic exa
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application for addressing, the pre
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Environments, 6(4), 355-385. Carmig
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1. INTRODUCTION Use of landmarks in
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the junctions which made with major
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4. IMPLEMENTATION 4.1 Technology Se
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Figure 3: Linear map output with si
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AN OPEN SOURCE WEB SERVICE FOR REGI
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2. IGSN OVERVIEW Figure 1 shows the
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types (e.g., dateType and relationT
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REST API(Fielding, 2000). The servi
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Page 179 and 180: Developing a land use database of t
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Page 193 and 194: Figure 8 The USDA Foodshed project
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Page 203 and 204: 8. REFERENCES Baker, J. L., 2012. (
Page 205 and 206: EVALUATION OF AN OPEN-SOURCE COLLAB
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Page 219 and 220: e integrated directly in the Web-GI
Page 221 and 222: 3. Implementation The main features
Page 223 and 224: Phase 1: Earthquake data Input Data
Page 225: Figure 4 . Magnitude 7.8 Earthquake
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Page 239 and 240: demographic data. He also states th
Page 241 and 242: Table 1. The combination of COUNTRY
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Page 257 and 258: 3.1 Keypoints detection and matchin
Page 259 and 260: complete the process. This has been
Page 261 and 262: Fleet, D., & Weiss, Y. (2006). Opti
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Page 273 and 274: 4. RESULTS Summing up, we should no
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FREEWAT: FREE and open source tools
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An Evaluation of Open Source Geogra
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2. DATA AND METHOD The approach ado
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the beginning and end of each trip
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Table 4 - GIS Routing Tools S/N GIS
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State cold store- Hungu Primary Hea
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Figure 3 - Comparing Discrepancy in
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nations based on human per capita i
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investigating metropolitan traffic.
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A Cross National Comparison on the
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in 1980(Saaty, 1980). It assesses t
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ex or current government officials
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Herold, S., & Sawada, M. C. (2012).
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frameworkwhich covers an infrastruc
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The architecture of the application
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5. CONCLUDING REMARKS Open source s
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cloud environment, so that end-user
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Figure 2 represents user interface
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geo-science application. Also the o
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PO-04 GeoDjango-Framwork-based Popu
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pH of 5.5 to 7.0; forest loam, rock
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Figure 4. Study Area (Davao Region)
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Figure 6. Topographic Map of Mindan
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Figure 8. Land Areas suitable for C
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It is respectfully recommended that
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ECDIS through introduction of Open
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to adopt development using open sou
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3. Conclusion ECDIS is navigation e
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PO-08 Development of an Agent Based
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1. INTRODUCTION 1.1 Background of t
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Figure 2. Workflow of the semi-auto
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threshold set. GRASS 7.0 is used in
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Figure 7. Result of the application
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Ming, D. M. D., Luo, J. L. J., Shen
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PO-10 3D Visualization of City GML
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As A Service (PAAS) and Infrastruct
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Figure 2: System Architecture and D
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The resulted crowd source data cont
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Table 1: Confusion Matrix Crowd sou
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PO-12 House Number Interpolation Fo
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(DOE) has awarded a total of 82 Gri
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Most solar radiation models compute
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2. OBJECTIVES, SCOPE, AND LIMITATIO
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Figure 4. BSWM Solar Sensors for Va
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4.2 Site Suitability Analysis Inter
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5. RESULTS AND DISCUSSION 5.1 Month
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Figure 8. Monthly Average Real-sky
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Figure 19. GHI for November Figure
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Figure 26. Non-Resource Criteria Su
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Kryza, M. et al. 2010. “Spatial i
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example coordinates agents, based o
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A benefit of using multiple agents
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A local GeoServer instance was set
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Figure 3. Screen captures of search
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In combination with ranking of resu
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INTRODUCTION TO A NEW GEO-REFERENCE
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Figure 2. ‘Click-to-go’ functio
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Figure 5. The conceptual structure
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Figure 6. Software architecture of
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GIS ORIENTED SERVICE OPTIMIZATION T
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Vehicle Routing Problem (VRP) refer
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So, buffer of 2 meters was created
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log data which was the actual dista
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was being served by three vehicles.
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Analyzing the number of customers,
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PO-17 A Study of the Development an
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MODELING OF TERMINOLOGY DATABASE IN
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3.2 Interpretation of the terms 4 I
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Figure 4 shows the result of SWOT a
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Add terms in the database: Super us
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6. REFERENCES Damdinsuren A., 2013.
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PO-20 Vulnerability Assessment Usin
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LEIGHTWEIGHT URBAN COMPUTATION INTE
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where events are instantly propagat
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not be conceived as responsive by a
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3.5. Remote Services Among a few
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4. USE CASES 4.1. Transition Worksh
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to display the rank of the player i
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PO-23 Development of Opensource-bas
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Author Index Aburizaiza, Ahmad O. 2
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