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identifies and authenticates the owner of a sensor platform. 4.2.2 Data formats OpenSenseMap currently supports two different response formats: JSON and GeoJSON. By default, the response is formatted in JSON. By adding .geojson to a GETrequest, the response is formatted in GeoJSON. GeoJSON is always a JSON object but encodes geographic data structures in a standardized way. Most Geographic Information Systems (GIS) are capable of processing GeoJSON. Both formats - JSON and GeoJSON - are an alternative to XML for data exchange on the web due to its compact representation (Crockford, 2006). That means it is more human-friendly in case of read- and writability and as well as for machines to parse and to generate. JSON is an open and language-independent data format. Data is published on OpenSenseMap under the ODC Public Domain Dedication License (PDDL). The PDDL allows the reuse and modication of the original data without any restrictions. 4.3 Front-end This section describes the graphical user interface (GUI) to interact with the back-end implementation, which was introduced in the previous section. The user-interface (cf. Figure 5) allows users to easily explore and contribute to OpenSenseMap. It fullfils two usecases: Exploring the already registered sensor platforms and their measurements and registering new sensor platforms. The functionality required for the two use-cases is implemented in separate modules, which will be described in the following two sections. Figure 5. Explore view of the OpenSenseMap platform. 132
4.3.1 Explore The explore view allows users to discover the registered sensor platforms and their published data; it is the default view when entering the OpenSenseMap website. It is a map based interface and supports basic spatial filtering using standard map interactions like panning and zooming. Additionally by clicking on the "magnifying glass" icon an address can be entered and searched for. Furthermore, users can browse the registered sensor platforms by searching for a sensor platform name or the measured phenomenons (cf. Figure 6a). While typing the filter term, the results are filtered and displayed as a list. To get detailed information about a sensor platform, a sub-view was implemented and can be accessed by clicking on a marker on the map. Figure 6. Sub-views of explore view. The detail-view (Figure 6b) shows all metadata, all sensors and their lastest measurements. The measurements are updated in real-time. Furthermore, the explore-view follows an URI pattern to make the boxes uniquely identifiable and open up the detail-view directly. According to the requirements of usability the front-end interface was build with a clean and easy to use design in mind. The main used framework is AngularJS22 to encapsulate the single modules and to provide a way to easily extend the modules. The map interface is provided by Leaet.js that oers an easy way to display JSON and GeoJSON data. 4.3.2 Registration Users can add new sensor platforms using a guided step-by-step registration procedure (cf. Figure 7). The registration procedure is divided into five single steps and all required fields must be entered in order to proceed with the next step. According to Nielsen (1994) that users should not be able to make mistakes, this mechanism preserves the user against registering a non-functional sensor platform. As mentioned in section 3.2, no prior registration is needed to use the platform. The first step of the registration procedure requests 133
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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
Page 81 and 82: 2. RELATED WORK Recent developments
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Page 95 and 96: 3.1 Boundary Extraction The extract
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Page 101 and 102: Monitoring concept on operating asp
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Page 109 and 110: Data Acquisition Methods Acquisitio
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Page 115 and 116: 2. DATA ACQUISITION 2.1 Image gathe
Page 117 and 118: Hugin Pix4Dmapper Pablo d'Angelo et
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Page 121 and 122: Wójcicka, A., and Wróbel, Z., 201
Page 123 and 124: platforms, which are easy to use an
Page 125 and 126: SWE framework proposes the followin
Page 127 and 128: Steenkamp et al. (2009) state that
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Page 131: Measurement value yes Measurement s
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Page 137 and 138: participants completely agree with
Page 139 and 140: 467 - 471. Sohraby, K., Minoli, D.,
Page 141 and 142: In augmented reality a live view of
Page 143 and 144: Figure 4. Dwellings in an informal
Page 145 and 146: 1. Gen eral crite ria 1.1. Platform
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Page 149 and 150: 1.4. Implemented standards OGC ARML
Page 151 and 152: 2.3. Object events 2.4. Display rad
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Page 157 and 158: Environments, 6(4), 355-385. Carmig
Page 159 and 160: 1. INTRODUCTION Use of landmarks in
Page 161 and 162: the junctions which made with major
Page 163 and 164: 4. IMPLEMENTATION 4.1 Technology Se
Page 165 and 166: Figure 3: Linear map output with si
Page 167 and 168: AN OPEN SOURCE WEB SERVICE FOR REGI
Page 169 and 170: 2. IGSN OVERVIEW Figure 1 shows the
Page 171 and 172: types (e.g., dateType and relationT
Page 173 and 174: REST API(Fielding, 2000). The servi
Page 175 and 176: An Open Source Web Service for Regi
Page 177 and 178: Research Centre (ARRC) and the Nati
Page 179 and 180: Developing a land use database of t
Page 181 and 182: Figure 3. Land use input applicatio
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Paddy 19.4 23.7 Upland field, orcha
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Figure 6. Overlay point based land
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Integrating Open Source GIS Softwar
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Advanced GIS course, we recognized
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for undergraduates. Research take t
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Figure 8 The USDA Foodshed project
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4. Data is sent to the web pages ei
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Advances in Civic Co-management wit
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2. JAKARTA'S DISASTER RISK MANAGEME
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The aim of the system is to improve
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8. REFERENCES Baker, J. L., 2012. (
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EVALUATION OF AN OPEN-SOURCE COLLAB
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therelevant stakeholderswith differ
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at each stage of the exercise: · l
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differentmitigationmeasuresaccordin
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students before the exercise. 5 4 3
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the third stage of the exercise in
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doi:10.1016/j.envsoft.2003.12.019.
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e integrated directly in the Web-GI
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3. Implementation The main features
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Phase 1: Earthquake data Input Data
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Figure 4 . Magnitude 7.8 Earthquake
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After adding all the layer maps, th
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EVALUATING FLOOD HAZARD POTENTIAL I
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σ 0 = 10*log 10 (DN 2 ) + CF (1) W
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Figure 4. The geomorphological feat
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from water class in land cover map
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ANALYSIS OF SPATIAL DENSITY UTILIZI
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demographic data. He also states th
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Table 1. The combination of COUNTRY
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NUMBER OF SUBSCRIBERS 300,000 250,0
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Figure 9. The number of foreign tou
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Figure 16. Spatial call activity pa
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Recently, additional tourist inform
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country. It uses R-Studio, a statis
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Geosocial Big Data Analysis Using P
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AN ON-BOARD VISUAL-BASED ATTITUDE E
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3.1 Keypoints detection and matchin
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complete the process. This has been
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Fleet, D., & Weiss, Y. (2006). Opti
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technologies in Geoinformation Scie
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technologies becomes irrelevant in
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Figure 2. Server (upper block) and
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Name Presence Description Table 1.
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SampleExtraApp sampleExtraApp annot
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4. RESULTS Summing up, we should no
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Paradigms. John Wiley & Sons Inc.,
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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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