PROCEEDINGS

Recommendations

Info

Figure 2. Visualization of multiple typed geo-based data using mobile UX/UI on the e- government web framework. Figure 3. Attribute visualizationof public geo-based data: (a) Seoul and (b) Busan. Figure 4. Visualization results using open API on the e-government web framework: (a) on-line mapping and (b) bar chart. FOSS4G Seoul, South Korea | September14 th – 19 th , 2015 292
5. CONCLUDING REMARKS Open source stack was developed for open data application. This project focuses on mobile web visualization of geo-based data and other typed open data. While, the e- government web framework and the mobile extension are also applied as important implementation specifications. For the actual application implementation, geo-spatially specific open sources such as GeoServer and OpenLayers and mobile visualization open sources such as jQuery and D3.js were used. The e-government mobile standards framework was used for mobile UX/UI components. It is expected that this approach provides practical reference and technological basis to develop target-oriented mobile application business models using open data and the e-government mobile web framework. 6. ACKNOWLEDGMENTS This research was supported by National Land Space Information Research Program by Ministry of Land, Infrastructure and Transport of Korean government (No. 14NSIP- B080144-01). 7. REFERENCES Kim, K. and K. Lee, 2015. Visualization of Geo-spatial Data and Public Data using Mobile Operating Environment in the eGovernment Standard Framework, Journal of Korea Spatial Information Society 23, 9-17. Kwakkel, J. H.,C. Stephen, C. John, and C. Scott W., 2014. Visualizing Geo-spatial Data in Science, Technology and Innovation, Technological Forecasting & Social Change81, 67-81. W3C, 2015.Standards for Web Applications on Mobile: Current State and Roadmap, http://www.w3.org/Mobile/mobile-web-app-state (Accessed July 22, 2015). Mobile application of open source stack to geo-based data visualizatione-government web framework 293
Page 1 and 2:
PROCEEDINGS Honil Gangni Yeokdae Gu
Page 3 and 4:
C O N T E N T S Welcome Messages Lo
Page 5 and 6:
A Week of Sharing, Learning, and Fu
Page 7 and 8:
ACADEMIC TRACKS 7
Page 9 and 10:
September 17, Thursday 11:00-12:15
Page 11 and 12:
September 16 (Wed) & 18 (Fri) 15:05
Page 13 and 14:
AUTOMATIC IMPROVEMENT OF POINT-OF-I
Page 15 and 16:
In the following, we will list
Page 17 and 18:
and specify their relations manuall
Page 19 and 20:
Conducting a cross-validation on th
Page 21 and 22:
81%. For cuisine=german, the precis
Page 23 and 24:
4.3 Tourism and Leisure Tags We ide
Page 25 and 26:
GENERATING GEOSPATIAL FOOTPRINTS FO
Page 27 and 28:
quality assessment of geocrowdsourc
Page 29 and 30:
Figure 2: The first simple case of
Page 31 and 32:
Figure 5: The footprint of walkways
Page 33 and 34:
say instead “Between 1st Street a
Page 35 and 36:
4. DISCUSSION AND CONCLUSIONS The G
Page 37 and 38:
Performance Analysis of MongoDB Vs.
Page 39 and 40:
2. REVIEW OF SPATIAL DATABASES Simi
Page 41 and 42:
4.2 Point Containment Problem Like
Page 43 and 44:
If we observe the results above we
Page 45 and 46:
and (0.43-0.67!m)and Near-infra red
Page 47 and 48:
The results shown in Table 1 derive
Page 49 and 50:
Vinayaraj, P., Raghavan,V., Masumot
Page 51 and 52:
DYNAMIC STYLING FOR THEMATIC MAPPIN
Page 53 and 54:
all) datasets on offer or applying
Page 55 and 56:
3.2.1 Data inputs The styler accept
Page 57 and 58:
determine the radius (both in the x
Page 59 and 60:
Figure 5: Map classification of blo
Page 61 and 62:
4.3 Point data Figure 8: Diverging
Page 63 and 64:
4.4 Non-spatial visualisations Figu
Page 65 and 66:
6 ACKNOWLEDGEMENTS The Cooperative
Page 67 and 68:
In the following, we give an overvi
Page 69 and 70:
The OSeM server application is base
Page 71 and 72:
4.2 User study We conducted the use
Page 73 and 74:
Pfeil, M., Bartoschek, T., Wirwahn,
Page 75 and 76:
1. INTRODUCTION The Philippines is
Page 77 and 78:
for organizing and managing spatial
Page 79 and 80:
4.1 Lidar Portal for Archiving and
Page 81 and 82:
Submitting the selected tiles adds
Page 83 and 84:
5. FUTURE OUTLOOK We envision the p
Page 85 and 86:
Mesnier, M., Ganger, G. R., and Rie
Page 87 and 88:
Typically, the boundary extraction
Page 89 and 90:
3c). Comparing to the original conv
Page 91 and 92:
the grid-based algorithm shows an i
Page 93 and 94:
mining. Likewise, the massive open-
Page 95 and 96:
selected as a mine representing the
Page 97 and 98:
31,110,170.7m". 89.5% of the volume
Page 99 and 100:
alterations caused by changes in el
Page 101 and 102:
Figure 17. Change detection of mini
Page 103 and 104:
Journal of the Korean Society for G
Page 105 and 106:
2. DATA ACQUISITION 2.1 Image gathe
Page 107 and 108:
Hugin Pix4Dmapper Pablo d'Angelo et
Page 109 and 110:
utit may be improved using many ste
Page 111 and 112:
Wójcicka, A., and Wróbel, Z., 201
Page 113 and 114:
platforms, which are easy to use an
Page 115 and 116:
SWE framework proposes the followin
Page 117 and 118:
Steenkamp et al. (2009) state that
Page 119 and 120:
technology and are published under
Page 121 and 122:
Measurement value yes Measurement s
Page 123 and 124:
4.3.1 Explore The explore view allo
Page 125 and 126:
Figure 8. Registration of a generic
Page 127 and 128:
participants completely agree with
Page 129 and 130:
467 - 471. Sohraby, K., Minoli, D.,
Page 131 and 132:
In augmented reality a live view of
Page 133 and 134:
Figure 4. Dwellings in an informal
Page 135 and 136:
1. Gen eral crite ria 1.1. Platform
Page 137 and 138:
matching, 3D engine, image tracking
Page 139 and 140:
1.4. Implemented standards OGC ARML
Page 141 and 142:
2.3. Object events 2.4. Display rad
Page 143 and 144:
instructional videos, and basic exa
Page 145 and 146:
application for addressing, the pre
Page 147 and 148:
Environments, 6(4), 355-385. Carmig
Page 149 and 150:
1. INTRODUCTION Use of landmarks in
Page 151 and 152:
the junctions which made with major
Page 153 and 154:
4. IMPLEMENTATION 4.1 Technology Se
Page 155 and 156:
Figure 3: Linear map output with si
Page 157 and 158:
AN OPEN SOURCE WEB SERVICE FOR REGI
Page 159 and 160:
2. IGSN OVERVIEW Figure 1 shows the
Page 161 and 162:
types (e.g., dateType and relationT
Page 163 and 164:
REST API(Fielding, 2000). The servi
Page 165 and 166:
An Open Source Web Service for Regi
Page 167 and 168:
Research Centre (ARRC) and the Nati
Page 169 and 170:
Developing a land use database of t
Page 171 and 172:
Tea, orchard 0.14 0.00 Wood 40.11 4
Page 173 and 174:
Shirai, Y., 2002. Firewood and char
Page 175 and 176:
two years, four of our courses were
Page 177 and 178:
Figure 3 Enterprise GIS class desig
Page 179 and 180:
five days of processing with commer
Page 181 and 182:
Figure 9 An Android application usi
Page 183 and 184:
5. CONCLUSION While most undergradu
Page 185 and 186:
Jakarta and its surrounding conurba
Page 187 and 188:
(Holderness & Turpin, 2015). Howeve
Page 189 and 190:
3.2 System Architecture The system
Page 191 and 192:
Flood Hazard Mapping of Lower Indus
Page 193 and 194:
practicesregardless of the size of
Page 195 and 196:
ound of feedback can be foundin the
Page 197 and 198:
the platform.In the check-point fee
Page 199 and 200:
How helpful would it be if a toolbo
Page 201 and 202:
Figure 5 shows the average ratings
Page 203 and 204:
platform for environmental risk rel
Page 205 and 206:
An Open-Source WebGIS Platform for
Page 207 and 208:
(i), to estimate damage and loss, p
Page 209 and 210:
y a map viewer. The designed global
Page 211 and 212:
to price per square meter). Consequ
Page 213 and 214:
Figure 6: Shake map of Earthquake 7
Page 215 and 216:
References Aye, Zar Chi, Michel Jab
Page 217 and 218:
2. METHODOLOGY 2.1 Study area and d
Page 219 and 220:
2007 reveals that agricultures are
Page 221 and 222:
the land cover changes. a. Land cov
Page 223 and 224:
Figure 8. Accuracy assessment for f
Page 225 and 226:
immediately provides constantly-cha
Page 227 and 228:
evaluate floating population densit
Page 229 and 230:
Table 2. The number of foreign tour
Page 231 and 232:
Figure 7. Overview diagram of the f
Page 233 and 234:
4.4 Apgujeong-dong The primary cell
Page 235 and 236:
Figure 19. The number of foreign to
Page 237 and 238:
5.3 Positioning the signposts writt
Page 239 and 240:
Kim, Wooyong. "Seoul City's Operati
Page 241 and 242: Image Geocoding as a Service Nuno A
Page 243 and 244: This is to minimize the computation
Page 245 and 246: In this experiment, the number of k
Page 247 and 248: however, increases the number of co
Page 249 and 250: MODIFICATIONS TO WEB PROCESSING SER
Page 251 and 252: of OGC standards related to the des
Page 253 and 254: Figure 1. Process execution page (o
Page 255 and 256: Figure 3. Separation of the cores o
Page 257 and 258: Figure 5. Chain of the requests to
Page 259 and 260: Additionally, RE generates graphica
Page 261 and 262: Another important area of research
Page 263 and 264: Panidi E.A., 2014. Towards Client-S
Page 265 and 266: Analysing the Performance of NoSQL
Page 267 and 268: 1. INTRODUCTION The need to be obje
Page 269 and 270: Bichi 90 73 3 130.4 B 151 123 5 166
Page 271 and 272: exercise. The drive test outputs we
Page 273 and 274: inbuilt routing/network model were
Page 275 and 276: Panda MPHC-Kachako Primary Health C
Page 277 and 278: In view of the limitation associate
Page 279 and 280: 1. Routing Output/Drive Test Error
Page 281 and 282: REFERENCES Boxberger, S. D., Lawver
Page 283 and 284: on the developing countries’ publ
Page 285 and 286: Survey was conducted to 12 particip
Page 287 and 288: South African Computer Journal, (45
Page 289 and 290: frameworkwhich covers an infrastruc
Page 291: The architecture of the application
Page 295 and 296: cloud environment, so that end-user
Page 297 and 298: Figure 2 represents user interface
Page 299 and 300: geo-science application. Also the o
Page 301 and 302: PO-04 GeoDjango-Framwork-based Popu
Page 303 and 304: pH of 5.5 to 7.0; forest loam, rock
Page 305 and 306: Figure 4. Study Area (Davao Region)
Page 307 and 308: Figure 6. Topographic Map of Mindan
Page 309 and 310: Figure 8. Land Areas suitable for C
Page 311 and 312: It is respectfully recommended that
Page 313 and 314: ECDIS through introduction of Open
Page 315 and 316: to adopt development using open sou
Page 317 and 318: 3. Conclusion ECDIS is navigation e
Page 319 and 320: PO-08 Development of an Agent Based
Page 321 and 322: 1. INTRODUCTION 1.1 Background of t
Page 323 and 324: Figure 2. Workflow of the semi-auto
Page 325 and 326: threshold set. GRASS 7.0 is used in
Page 327 and 328: Figure 7. Result of the application
Page 329 and 330: Ming, D. M. D., Luo, J. L. J., Shen
Page 331 and 332: PO-10 3D Visualization of City GML
Page 333 and 334: As A Service (PAAS) and Infrastruct
Page 335 and 336: Figure 2: System Architecture and D
Page 337 and 338: The resulted crowd source data cont
Page 339 and 340: Table 1: Confusion Matrix Crowd sou
Page 341 and 342: PO-12 House Number Interpolation Fo
Page 343 and 344:
(DOE) has awarded a total of 82 Gri
Page 345 and 346:
Most solar radiation models compute
Page 347 and 348:
2. OBJECTIVES, SCOPE, AND LIMITATIO
Page 349 and 350:
Figure 4. BSWM Solar Sensors for Va
Page 351 and 352:
4.2 Site Suitability Analysis Inter
Page 353 and 354:
5. RESULTS AND DISCUSSION 5.1 Month
Page 355 and 356:
Figure 8. Monthly Average Real-sky
Page 357 and 358:
Figure 19. GHI for November Figure
Page 359 and 360:
Figure 26. Non-Resource Criteria Su
Page 361 and 362:
Kryza, M. et al. 2010. “Spatial i
Page 363 and 364:
example coordinates agents, based o
Page 365 and 366:
A benefit of using multiple agents
Page 367 and 368:
A local GeoServer instance was set
Page 369 and 370:
Figure 3. Screen captures of search
Page 371 and 372:
In combination with ranking of resu
Page 373 and 374:
INTRODUCTION TO A NEW GEO-REFERENCE
Page 375 and 376:
Figure 2. ‘Click-to-go’ functio
Page 377 and 378:
Figure 5. The conceptual structure
Page 379 and 380:
Figure 6. Software architecture of
Page 381 and 382:
GIS ORIENTED SERVICE OPTIMIZATION T
Page 383 and 384:
Vehicle Routing Problem (VRP) refer
Page 385 and 386:
So, buffer of 2 meters was created
Page 387 and 388:
log data which was the actual dista
Page 389 and 390:
was being served by three vehicles.
Page 391 and 392:
Analyzing the number of customers,
Page 393 and 394:
PO-17 A Study of the Development an
Page 395 and 396:
MODELING OF TERMINOLOGY DATABASE IN
Page 397 and 398:
3.2 Interpretation of the terms 4 I
Page 399 and 400:
Figure 4 shows the result of SWOT a
Page 401 and 402:
Add terms in the database: Super us
Page 403 and 404:
6. REFERENCES Damdinsuren A., 2013.
Page 405 and 406:
PO-20 Vulnerability Assessment Usin
Page 407 and 408:
LEIGHTWEIGHT URBAN COMPUTATION INTE
Page 409 and 410:
where events are instantly propagat
Page 411 and 412:
not be conceived as responsive by a
Page 413 and 414:
3.5. Remote Services Among a few
Page 415 and 416:
4. USE CASES 4.1. Transition Worksh
Page 417 and 418:
to display the rank of the player i
Page 419 and 420:
PO-23 Development of Opensource-bas
Page 421 and 422:
Author Index Aburizaiza, Ahmad O. 2
show all

PROCEEDINGS

Create successful ePaper yourself

Delete template?

Save as template?