Geographic information. Quality evaluation procedures

2015 ◽  
Keyword(s):  
Information Quality ◽  
Quality Evaluation ◽  
Geographic Information ◽  
Evaluation Procedures

scholarly journals Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

2016 ◽  
Vol 11 (3) ◽  
Author(s):  
Xiaohui Xu ◽  
Hui Hu ◽  
Sandie Ha ◽  
Daikwon Han
Keyword(s):  
Pilot Study ◽  
Data Collection ◽  
Spatial Data ◽  
Information Quality ◽  
Reference Method ◽  
Application Programming Interface ◽  
Geographic Information ◽  
Aerial Image ◽  
Positional Accuracy ◽  
Birth Records

It is well known that the conventional, automated geocoding method based on self-reported residential addresses has many issues. We developed a smartphone-assisted aerial image-based method, which uses the Google Maps application programming interface as a spatial data collection tool during the birth registration process. In this pilot study, we have tested whether the smartphone-assisted method provides more accurate geographic information than the automated geocoding method in the scenario when both methods can get the address geocodes. We randomly selected 100 well-geocoded addresses among women who gave birth in Alachua county, Florida in 2012. We compared geocodes generated from three geocoding methods: i) the smartphone-assisted aerial image-based method; ii) the conventional, automated geocoding method; and iii) the global positioning system (GPS). We used the GPS data as the reference method. The automated geocoding method yielded positional errors larger than 100 m among 29.3% of addresses, while all addresses geocoded by the smartphoneassisted method had errors less than 100 m. The positional errors of the automated geocoding method were greater for apartment/condominiums compared with other dwellings and also for rural addresses compared with urban ones. We conclude that the smartphone-assisted method is a promising method for perspective spatial data collection by improving positional accuracy.

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 Systematic literature review on university website quality

2022 ◽  
Vol 25 (1) ◽  
pp. 511
Author(s):  
Ala' Hasan Saleh ◽  
Rasimah Che Mohd Yusoff ◽  
Nur Azaliah Abu Bakar ◽  
Roslina Ibrahim
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Interface Design ◽  
Information Quality ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Quality Factors ◽  
Quality Model ◽  
Specific Content ◽  
Website Quality

Website is a necessity for organizations to enable users worldwide to access their information and gain a competitive edge over others. The diversity of websites makes assessing website quality a difficult task. The aim of this paper is to identify the issues faced in the quality evaluation of university websites, the models and the factors used for evaluating university website quality. Systematic literature review was used to identify and synthesize related scholarly research papers. Findings show that there is a lack of study on university website quality compared to business websites; website designers did not have the appropriate knowledge on the interface design; and the website quality evaluation is complex since there is no specific evaluation model. Webqual 4.0 model was used to evaluate the quality of universities' websites. From 24 studies, initially 79 quality factors were extracted. After performing comparison, filtration and memoing, six quality factors were identified: information quality, specific content, usability, web appearance, service interaction quality, and functionality. This study makes a useful contribution in developing university website quality model by extending the Webqual 4.0 model.

scholarly journals Supply Chain Logistics Information Quality Evaluation From Just-in-Time Perspective

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 105728-105743
Author(s):  
Zhang Zhiwen ◽  
Yang Xiaoying ◽  
Xue Yujun ◽  
Gong Limin ◽  
Li Junxing
Keyword(s):  
Supply Chain ◽  
Information Quality ◽  
Quality Evaluation ◽  
Time Perspective ◽  
Just In Time ◽  
Supply Chain Logistics ◽  
Logistics Information
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