scholarly journals Volunteered Geographic Information Users Contributions Pattern and its Impact on Information Quality

2020 ◽  
Author(s):  
Amir Masoud Forati ◽  
Rina Ghose
Keyword(s):  
Los Angeles ◽  
Information Quality ◽  
Spatial Information ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Quality Of Data ◽  
Web Based ◽  
Online Mapping ◽  
Smartphone Technology

Recent advancements in web-based geospatial software and smartphone technology have popularized the process of voluntary production and sharing of geospatial data by individual citizens. Through such Volunteered Geographic Information (VGI) activities, people across the world participate in online mapping projects (such as OpenStreetMap) to insert their spatial information. The quality of data generated by such VGI activities has profound impacts on online mapping projects and their spatial database. In this study, we examine the VGI contribution pattern in OpenStreetMap through three case study neighborhoods located in three major cities: Tehran, London, and Los Angeles, and investigate how it might affect the process of quality assessment of VGI.

Designing Information Product (IP) Maps On the Process of Data Processing and Academic Information

2017 ◽  
Vol 4 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Diana Effendi
Keyword(s):  
Data Quality ◽  
Data Management ◽  
Information Management ◽  
Information Quality ◽  
Quality Data ◽  
Management Approach ◽  
Quality Of Data ◽  
Information Product ◽  
Academic Activities

Information Product Approach (IP Approach) is an information management approach. It can be used to manage product information and data quality analysis. IP-Map can be used by organizations to facilitate the management of knowledge in collecting, storing, maintaining, and using the data in an organized. The  process of data management of academic activities in X University has not yet used the IP approach. X University has not given attention to the management of information quality of its. During this time X University just concern to system applications used to support the automation of data management in the process of academic activities. IP-Map that made in this paper can be used as a basis for analyzing the quality of data and information. By the IP-MAP, X University is expected to know which parts of the process that need improvement in the quality of data and information management.   Index term: IP Approach, IP-Map, information quality, data quality. REFERENCES[1] H. Zhu, S. Madnick, Y. Lee, and R. Wang, “Data and Information Quality Research: Its Evolution and Future,” Working Paper, MIT, USA, 2012.[2] Lee, Yang W; at al, Journey To Data Quality, MIT Press: Cambridge, 2006.[3] L. Al-Hakim, Information Quality Management: Theory and Applications. Idea Group Inc (IGI), 2007.[4] “Access : A semiotic information quality framework: development and comparative analysis : Journal ofInformation Technology.” [Online]. Available: http://www.palgravejournals.com/jit/journal/v20/n2/full/2000038a.html. [Accessed: 18-Sep-2015].[5] Effendi, Diana, Pengukuran Dan Perbaikan Kualitas Data Dan Informasi Di Perguruan Tinggi MenggunakanCALDEA Dan EVAMECAL (Studi Kasus X University), Proceeding Seminar Nasional RESASTEK, 2012, pp.TIG.1-TI-G.6.

Assessing The Quality of Water Depth Derived From Volunteered Geographic Information (VGI) For Flood Monitoring. A Case Study of Hurricane Harvey In Harris County, Texas

2021 ◽  
Author(s):  
Abdullatif Alyaqout ◽  
T. Edwin Chow ◽  
Alexander Savelyev
Keyword(s):  
Water Depth ◽  
Temporal Distribution ◽  
Volunteered Geographic Information ◽  
Temporal Variations ◽  
Geographic Information ◽  
Text Messages ◽  
Quality Of Water ◽  
Significant Difference ◽  
Flood Monitoring

Abstract The primary objectives of this study are to 1) assess the quality of each volunteered geographic information (VGI) data modality (text, pictures, and videos), and 2) evaluate the quality of multiple VGI data sources, especially the multimedia that include pictures and videos, against synthesized water depth (WD) derived from remote sensing (RS) and authoritative data (e.g. stream gauges and depth grids). The availability of VGI, such as social media and crowdsourced data, empowered the researchers to monitor and model floods in near-real-time by integrating multi-sourced data available. Nevertheless, the quality of VGI sources and its reliability for flood monitoring (e.g. WD) is not well understood and validated by empirical data. Moreover, existing literature focuses mostly on text messages but not the multimedia nature of VGI. Therefore, this study measures the differences in synthesized WD from VGI modalities in terms of (1) spatial and (2) temporal variations, (3) against WD derived from RS, and (4) against authoritative data including (a) stream gauges and (b) depth grids. The results of the study show that there are significant differences in terms of spatial and temporal distribution of VGI modalities. Regarding VGI and RS comparison, the results show that there is a significant difference in WD between VGI and RS. In terms of VGI and authoritative data comparison, the analysis revealed that there is no significant difference in WD between VGI and stream gauges, while there is a significant difference between the depth grids and VGI.

scholarly journals Rancang Bangun Sistem Informasi Penjualan Obat Berbasis Website dengan Menggunakan Metode Waterfall

2020 ◽  
Vol 6 (1) ◽  
pp. 71-82
Author(s):  
Ahmad Fauzi ◽  
Dewi Wulandari
Keyword(s):  
Information System ◽  
Data Processing ◽  
Quality Of Data ◽  
Microsoft Excel ◽  
Web Based ◽  
Drug Sales ◽  
Uml Modeling ◽  
Computer Based ◽  
A Company

Abstract: In this era of globalization, information technology is speeding up. In managing the information required good technology because the information has a greatvalue for a company. And computer technology today with its increasingly sophisticated processing speed has enabled the development of computer-based information systems. Problems that exist in Kauman Apothecary is about the data processing that is still done manually, ranging from the admission process of incoming drugs, drugs out, often the absence of matching stock between the data with the original drug, as well as in making reports that still use microsoft excel. The design of the system is described by UML modeling, drug sales information system on web-based pharmacy kauman intranet this is the best solution, can improve the quality of data processing drugs in pharmacies kauman. And with the creation of this information system, can help simplify data processing moreleverage, while keeping data safe and minimize the data kerangkapan. The design of web-based drug sales information system is made using PHP and MySQL.Keywords: Information System, Sales, Kauman PharmacyAbstrak: Dalam era globalisasi sekarang ini, teknologi informasi melaju dengan cepatnya.Dalam mengelola informasi dibutuhkan teknologi yang baik karena informasi mempunyai nilai yang besar bagi suatu perusahaan. Dan teknologi komputer sekarang ini dengan kecepatan prosesnya yang semakin canggih telah memungkinkan pengembangan sistem informasi berbasis komputer. Masalah yang ada pada Apotek Kauman yaitu mengenai pengolahan data-datanya yang masih dilakukan secara manual, mulai dari proses penerimaan obat masuk, obat keluar, sering tidak adanya kecocokan stok antara data dengan obat aslinya, serta dalam membuat laporan yang masih menggunakan microsoft excel. Perancangan sistem digambarkan dengan pemodelan UML, sistem informasi penjualan obat pada apotek kauman berbasis web intranet ini merupakan solusi yang terbaik, dapat meningkatkan kualitas pengolahan data obat di apotek kauman. Dan dengan dibuatnya sistem informasi ini, dapat membantu mempermudah pengolahan data lebih maksimal, sekaligus menjaga data tetap aman dan meminimalisir adanya kerangkapan data. Perancangan sistem informasi penjualan obat berbasis web ini dibuat menggunakan PHP dan MySQLKata Kunci: Sistem Informasi, Penjualan, Apotek Kauman.

scholarly journals APLIKASI RESTFULL PADA SISTEM INFORMASI GEOGRAFIS PARIWISATA KOTA BANDAR LAMPUNG

2021 ◽  
Vol 2 (3) ◽  
pp. 312-323
Author(s):  
Melvitasari Tinambunan ◽  
Sanriomi Sintaro
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Programming Language ◽  
Spatial Information ◽  
Geographic Information ◽  
Black Box ◽  
Base System ◽  
Web Based ◽  
City Tourism ◽  
Mapping Technology

Android, Geographic Information Systems, RESTful, Web One of the mapping technologies widely used today is Geographic Information Systems. Geographic Information Systems (GEOGRAPHIC INFORMATION SYSTEMS) is a mapping technology in the form of computer-based information systems, designed to work using data that has spatial information or spatial reference. Mapping technology is widely used to facilitate human work. In this research, Geographic Information System technology was used to support one of the business processes at the Bandar Lampung City Tourism Office. This system was built to assist related agencies in recording tourist sites. The system consists of a web-based system and Android-based applications that are connected using RESTful Web Service. The system is implemented using the PHP programming language with the help of CodeIgniter for web-based systems, and the Java programming language for Android-based applications. The method of developing the system used is the waterfall model method according to Rossa U.S. and Saladin (2014). Application design is based on Unified Modeling Language (UML), flowchart diagrams, and interface design. While the application used in the creation of the Android base system is Android Studio. The testing method used is the system's functional Black-Box. The results of black-box testing data show that the system runs as it should, the system is easy to understand by users, and can meet the functional needs of the system needed by the Bandar Lampung City Tourism Office

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 The Spatial-Comprehensiveness (S-COM) Index: Identifying Optimal Spatial Extents in Volunteered Geographic Information Point Datasets

2020 ◽  
Vol 9 (9) ◽  
pp. 497
Author(s):  
Haydn Lawrence ◽  
Colin Robertson ◽  
Rob Feick ◽  
Trisalyn Nelson
Keyword(s):  
Social Media ◽  
Data Quality ◽  
Spatial Scales ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Quality Metric ◽  
Fine Grained ◽  
Multi Scale ◽  
Feasible Study

Social media and other forms of volunteered geographic information (VGI) are used frequently as a source of fine-grained big data for research. While employing geographically referenced social media data for a wide array of purposes has become commonplace, the relevant scales over which these data apply to is typically unknown. For researchers to use VGI appropriately (e.g., aggregated to areal units (e.g., neighbourhoods) to elicit key trend or demographic information), general methods for assessing the quality are required, particularly, the explicit linkage of data quality and relevant spatial scales, as there are no accepted standards or sampling controls. We present a data quality metric, the Spatial-comprehensiveness Index (S-COM), which can delineate feasible study areas or spatial extents based on the quality of uneven and dynamic geographically referenced VGI. This scale-sensitive approach to analyzing VGI is demonstrated over different grains with data from two citizen science initiatives. The S-COM index can be used both to assess feasible study extents based on coverage, user-heterogeneity, and density and to find feasible sub-study areas from a larger, indefinite area. The results identified sub-study areas of VGI for focused analysis, allowing for a larger adoption of a similar methodology in multi-scale analyses of VGI.

scholarly journals A review of volunteered geographic information quality assessment methods

2016 ◽  
Vol 31 (1) ◽  
pp. 139-167 ◽  
Author(s):  
Hansi Senaratne ◽  
Amin Mobasheri ◽  
Ahmed Loai Ali ◽  
Cristina Capineri ◽  
Mordechai (Muki) Haklay
Keyword(s):  
Quality Assessment ◽  
Information Quality ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Assessment Methods

scholarly journals Creating Informative Data Warehouses: Exploring Data and Information Quality through Data Mining

10.28945/2584 ◽  
2002 ◽  
Author(s):  
Herna L. Viktor ◽  
Wayne Motha
Keyword(s):  
Data Mining ◽  
Information Quality ◽  
Data Warehousing ◽  
Poor Quality ◽  
Quality Data ◽  
Data Warehouses ◽  
Quality Of Data ◽  
Poor Quality Data ◽  
Daunting Task

Increasingly, large organizations are engaging in data warehousing projects in order to achieve a competitive advantage through the exploration of the information as contained therein. It is therefore paramount to ensure that the data warehouse includes high quality data. However, practitioners agree that the improvement of the quality of data in an organization is a daunting task. This is especially evident in data warehousing projects, which are often initiated “after the fact”. The slightest suspicion of poor quality data often hinders managers from reaching decisions, when they waste hours in discussions to determine what portion of the data should be trusted. Augmenting data warehousing with data mining methods offers a mechanism to explore these vast repositories, enabling decision makers to assess the quality of their data and to unlock a wealth of new knowledge. These methods can be effectively used with inconsistent, noisy and incomplete data that are commonplace in data warehouses.

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 Web-Based Geographic Information System Development of Hotspots Distribution for Monitoring Forest and Land Fires Using Leaflet JavaScript Library (Case Study: Ogan Komering Ilir Regency, South Sumatera)

2021 ◽  
Vol 936 (1) ◽  
pp. 012010
Author(s):  
Bangun Muljo Sukojo ◽  
Diya Rochima Lisakiyanto
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Infrared Imaging ◽  
Spatial Information ◽  
Detection System ◽  
System Development ◽  
Geographic Information ◽  
Burned Area ◽  
Web Based ◽  
The Impact

Abstract Forest and land fires are a disaster that occurs almost every year on Sumatra Island. Ogan Komering Ilir is one of the regencies in South Sumatra Province with a high number of hotspots causing forest and land fires every year. Prevention efforts are important to reduce the impact caused by forest and land fires on various aspects of life. One of them is by building a web-based Geographic Information System (WebGIS) for the distribution of hotspots as a form of early warning and detection system by utilizing VIIRS Nightfire (VNF) data from the remote sensing technology of the Suomi-NPP satellite which has Visible Infrared Imaging Radiometer Suite (VIIRS) active sensors which have been processed with the Nightfire algorithm. The Leaflet JavaScript library plays an important role in adding to the functionality of WebGIS with a wide selection of available plugins and easy-to-read source code to make web-based spatial information more interactive. The prototype of WebGIS with the name OKIApi has been successfully developed and has several key features such as displaying information on the distribution of hotspots that have been classified by temperature; the priority level of firefighting areas and the vulnerability level of flammable areas based on the type of land cover; route to the hotspot or the fire department locations; a chart of the estimated burned area from the source footprint of hotspot; and a chart of the number of hotspots per day that have been classified by temperature. The percentage value of the web feasibility for the functionality test to 13 WebGIS features is 100% with a very good predicate, the usability test is 91.5% with a very good predicate, and the portability test on 18 web browsers applications is 100% with a very good predicate.

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