A Generic Spatial OLAP Model for Evaluating Natural Hazards in a Volunteered Geographic Information Context

2014 ◽  
Vol 5 (4) ◽  
pp. 40-55
Author(s):  
Sandro Bimonte ◽  
Omar Boucelma ◽  
Olivier Machabert ◽  
Sana Sellami
Keyword(s):  
Natural Hazards ◽  
Spatial Data ◽  
Evaluation Model ◽  
Data Gathering ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Sensor Data ◽  
Application Development ◽  
Online Analysis ◽  
Spatial Data Warehouses

Spatial data warehouses (SDW) and spatial OLAP (SOLAP) systems are well-known business intelligence technologies that aim to support a multidimensional and online analysis for a large volume of geo-referenced datasets. SOLAP systems are already used in the context of natural hazards for analyzing sensor data and experts' measurements. Recently, new data gathering tools coined as volunteered geographic information systems (VGI) have been adopted especially by non-expert users. Hence, (spatial) application development is facing a new challenge, which is the integration of expert-oriented data with citizen-provided data. In this paper, we propose a new generic spatio-multidimensional model based on the question/answer risk evaluation model that allows the integration of VGI data with classical SDW and SOLAP systems for the online analysis of natural hazards monitored by volunteers.

A Generic Spatial OLAP Model for Evaluating Natural Hazards in a Volunteered Geographic Information Context

2016 ◽  
pp. 485-501
Author(s):  
Sandro Bimonte ◽  
Omar Boucelma ◽  
Olivier Machabert ◽  
Sana Sellami
Keyword(s):  
Natural Hazards ◽  
Spatial Data ◽  
Evaluation Model ◽  
Data Gathering ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Sensor Data ◽  
Application Development ◽  
Online Analysis ◽  
Spatial Data Warehouses

Spatial data warehouses (SDW) and spatial OLAP (SOLAP) systems are well-known business intelligence technologies that aim to support a multidimensional and online analysis for a large volume of geo-referenced datasets. SOLAP systems are already used in the context of natural hazards for analyzing sensor data and experts' measurements. Recently, new data gathering tools coined as volunteered geographic information systems (VGI) have been adopted especially by non-expert users. Hence, (spatial) application development is facing a new challenge, which is the integration of expert-oriented data with citizen-provided data. In this paper, we propose a new generic spatio-multidimensional model based on the question/answer risk evaluation model that allows the integration of VGI data with classical SDW and SOLAP systems for the online analysis of natural hazards monitored by volunteers.

scholarly journals Spatial Data Lake for Smart Cities: From Design to Implementation

2020 ◽  
Vol 1 ◽  
pp. 1-15
Author(s):  
Rodrique Kafando ◽  
Rémy Decoupes ◽  
Lucile Sautot ◽  
Maguelonne Teisseire
Keyword(s):  
Remote Sensing ◽  
Spatial Data ◽  
Smart Cities ◽  
Real Data ◽  
Heterogeneous Data ◽  
Geographic Information ◽  
Sensor Data ◽  
Remote Sensing Images ◽  
Thematic Information ◽  
General Data

Abstract. In this paper, we propose a methodology for designing data lake dedicated to Spatial Data and an implementation of this specific framework. Inspired from previous proposals on general data lake Design and based on the Geographic information – Metadata normalization (ISO 19115), the contribution presented in this paper integrates, with the same philosophy, the spatial and thematic dimensions of heterogeneous data (remote sensing images, textual documents and sensor data, etc). To support our proposal, the process has been implemented in a real data project in collaboration with Montpellier Métropole Méditerranée (3M), a metropolis in the South of France. This framework offers a uniform management of the spatial and thematic information embedded in the elements of the data lake.

scholarly journals Volunteered Geographic Information: Interpretation, Visualisation and Social Computing (VGIscience)

2018 ◽  
Vol 1 ◽  
pp. 1-5 ◽  
Author(s):  
Dirk Burghardt ◽  
Wolfgang Nejdl ◽  
Jochen Schiewe ◽  
Monika Sester
Keyword(s):  
Visual Analysis ◽  
Spatial Information ◽  
Volunteered Geographic Information ◽  
Scientific Basis ◽  
Geographic Information ◽  
Sensor Data ◽  
Short Paper ◽  
German Research Foundation ◽  
Knowledge Presentation ◽  
Large Heterogeneity

In the past years Volunteered Geographic Information (VGI) has emerged as a novel form of user-generated content, which involves active generation of geo-data for example in citizen science projects or during crisis mapping as well as the passive collection of data via the user’s location-enabled mobile devices. In addition there are more and more sensors available that detect our environment with ever greater detail and dynamics. These data can be used for a variety of applications, not only for the solution of societal tasks such as in environment, health or transport fields, but also for the development of commercial products and services. The interpretation, visualisation and usage of such multi-source data is challenging because of the large heterogeneity, the differences in quality, the high update frequencies, the varying spatial-temporal resolution, subjective characteristics and low semantic structuring.<br> Therefore the German Research Foundation has launched a priority programme for the next 3&amp;ndash;6 years which will support interdisciplinary research projects. This priority programme aims to provide a scientific basis for raising the potential of VGI- and sensor data. Research questions described more in detail in this short paper span from the extraction of spatial information, to the visual analysis and knowledge presentation, taking into account the social context while collecting and using VGI.

scholarly journals ASSESSMENT OF COMPLETENESS AND POSITIONAL ACCURACY OF LINEAR FEATURES IN VOLUNTEERED GEOGRAPHIC INFORMATION (VGI)

2015 ◽  
Vol XL-1-W5 ◽  
pp. 169-174
Author(s):  
M. Eshghi ◽  
A. A. Alesheikh
Keyword(s):  
Spatial Data ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Positional Accuracy ◽  
Linear Feature ◽  
Almost All ◽  
Information Collecting ◽  
Correct Data ◽  
Official Data

Recent advances in spatial data collection technologies and online services dramatically increase the contribution of ordinary people to produce, share, and use geographic information. Collecting spatial data as well as disseminating them on the internet by citizens has led to a huge source of spatial data termed as Volunteered Geographic Information (VGI) by Mike Goodchild. Although, VGI has produced previously unavailable data assets, and enriched existing ones. But its quality can be highly variable and challengeable. This presents several challenges to potential end users who are concerned about the validation and the quality assurance of the data which are collected. Almost, all the existing researches are based on how to find accurate VGI data from existing VGI data which consist of a) comparing the VGI data with the accurate official data, or b) in cases that there is no access to correct data; therefore, looking for an alternative way to determine the quality of VGI data is essential, and so forth. In this paper it has been attempt to develop a useful method to reach this goal. In this process, the positional accuracy of linear feature of Iran, Tehran OSM data have been analyzed.

scholarly journals The GeoWeb and everyday life: An analysis of spatial tactics and volunteered geographic information

First Monday ◽  
2014 ◽  
Author(s):  
Jessa Lingel ◽  
Bradley Wade Bishop
Keyword(s):  
Everyday Life ◽  
Spatial Data ◽  
Information Science ◽  
Volunteered Geographic Information ◽  
Political Efficacy ◽  
Geographic Information ◽  
Future Research ◽  
The Political ◽  
Geospatial Technologies ◽  
Opening Up

In this paper, we discuss GeoWeb technologies, specifically those created via volunteered geographic information (VGI) as a means of analyzing the political contours of mapmaking. Our paper is structured around two case studies of VGI projects that allow for consideration for the political efficacy (and potential drawbacks) of these geospatial technologies. We use de Certeau’s constructs of strategies and tactics as a conceptual framing, which allows for a political reading of geographic data couched in the context of everyday life, as well as opening up inquiry into the politics of making, accessing and interpreting spatial data. We conclude by suggesting provocations for future research on the GeoWeb and VGI at the intersection of geography and information science.

scholarly journals Crowdsourced Data

2021 ◽  
pp. 63-67
Author(s):  
Karel Charvát ◽  
Michal Kepka
Keyword(s):  
Data Storage ◽  
Mobile Applications ◽  
User Authentication ◽  
Volunteered Geographic Information ◽  
Scientific Work ◽  
Geographic Information ◽  
Geospatial Data ◽  
Sensor Data ◽  
Crowdsourced Data ◽  
Server System

AbstractCrowdsourcing together with Volunteered Geographic Information (VGI) are currently part of  a broader concept – Citizens Science. The methods provide information on existing geospatial data or is a part of data collection from geolocated devices. They enable opening parts of scientific work to the general public. DataBio Crowdsourcing Solution is a combination of the SensLog server platform and HSLayers web and mobile applications. SensLog is a server system for managing sensor data, volunteered geographic information and other geospatial data. Web and mobile applications are used to collect and visualize SensLog data. SensLog data model builds on the Observations & Measurements conceptual model from ISO 19156 and includes additional sections, e.g., for user authentication or volunteered geographic information (VGI) collection. It uses PostgreSQL database with PostGIS for data storage and several API endpoints.

scholarly journals THE ROLE OF VOLUNTEERED GEOGRAPHIC INFORMATION APPLICATIONS IN DISASTER MANAGEMENT

2018 ◽  
Vol XLII-3/W4 ◽  
pp. 469-473
Author(s):  
H. K. Sevinç ◽  
I. R. Karaş
Keyword(s):  
Crisis Management ◽  
Disaster Management ◽  
Spatial Data ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Crisis Resolution ◽  
Important Requirement ◽  
Conventional Methods ◽  
A Priority

<p><strong>Abstract.</strong> In times of crisis, it is a priority to get help as soon as possible and any kind of help can be accepted. Especially, all kinds of support by volunteers, is a great help in crisis resolution. Crisis locations can be developed or less developed regions. It is sometimes difficult to reach help and support in less developed regions. To create Geographic data, which is an important requirement in crisis situations, is time-consuming and costly when attempted to be produced by conventional methods. When the data is produced by volunteers, it is faster and less costly because experts try to reach and support the region. Volunteered Geographic Information (VGI) is spatial data that has been contributed for free by volunteers. In our work, that is review, the examples of Volunteered Geographic Information applications in crisis management will be shown on the poster.</p>

scholarly journals The geovisualisation window of the temporal and spatial variability for Volunteered Geographic Information activities

2012 ◽  
Vol 61 (1) ◽  
pp. 31-45 ◽  
Author(s):  
Beata Medynska-Gulij ◽  
Miłosz Myszczuk
Keyword(s):  
Spatial Variability ◽  
Spatial Data ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
General Level ◽  
Web Browser ◽  
Temporal And Spatial Variability ◽  
Reference Map ◽  
Temporal And Spatial ◽  
Choropleth Map

Abstract This study presents an attempt to design geographical visualisation tools that allow to tackle the immensity of spatial data provided by Volunteered Geographic Information (VGI), both in terms of temporal and spatial aspects. In accordance with the assumptions made at the conceptual stage, the final action was the implementation of the window entitled ‘Geovisualisation of the Panoramio.com Activities in District of Poznan 2011’ into the web browser. The concept has been based on a division of the geovisualisation window into three panels, of which the most important - in order to capture spatial variability - have statistical maps at the general level (dot map and choropleth map), while at the detailed level - a dot map on a topographic reference map or tourist map. For two ranges, temporal variability is presented by graphs, while a review of attributes of individual activities of the social website in question is set forward in the table panel. The element that visually interlinks all of the panels is the emphasised individual activity.

Sign in / Sign up

Export Citation Format

Share Document