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 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.

Utilizing Volunteered Information for Infectious Disease Surveillance

2013 ◽  
Vol 4 (2) ◽  
pp. 54-70 ◽  
Author(s):  
Shaun A. Langley ◽  
Joseph P. Messina ◽  
Sue C. Grady
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Disease Surveillance ◽  
Geographic Information ◽  
Spatial Data Analysis ◽  
Tsetse Flies ◽  
New Paradigm ◽  
Traditional Role ◽  
The Public

With the advent of Web 2.0, the public is becoming increasingly interested in spatial data exploration. The potential for Volunteered Geographic Information (VGI) to be adopted for passive disease surveillance and mediated through an enhanced relationship between researchers and non-scientists is of special interest to the authors. In particular, mobile devices and wireless communication permit the public to be more involved in research to a greater degree. Furthermore, the accuracy of these devices is rapidly improving, allowing the authors to address questions of uncertainty and error in data collections. Cooperation between researchers and the public integrates themes common to VGI and PGIS (Participatory Geographic Information), to bring about a new paradigm in GIScience. This paper outlines the prototype for a VGI system that incorporates the traditional role of researchers in spatial data analysis and exploration and the willingness of the public, through traditional PGIS, to be engaged in data collection for the purpose of surveillance of tsetse flies, the primary vector of African Trypanosomiasis. This system allows for two-way communication between researchers and the public for data collection, analysis, and the ultimate dissemination of results. Enhancing the role of the public to participate in these types of projects can improve both the efficacy of disease surveillance as well as stimulating greater interest in science.

scholarly journals Automatic Positional Accuracy Assessment of Imagery Segmentation Processes: A Case Study

2021 ◽  
Vol 10 (7) ◽  
pp. 430
Author(s):  
Juan J. Ruiz-Lendínez ◽  
Manuel A. Ureña-Cámara ◽  
José L. Mesa-Mingorance ◽  
Francisco J. Quesada-Real
Keyword(s):  
High Resolution ◽  
Quality Assessment ◽  
Accuracy Assessment ◽  
Geographic Information ◽  
Aerial Image ◽  
Positional Accuracy ◽  
Key Aspects ◽  
Very High ◽  
The Ideal

There are many studies related to Imagery Segmentation (IS) in the field of Geographic Information (GI). However, none of them address the assessment of IS results from a positional perspective. In a field in which the positional aspect is critical, it seems reasonable to think that the quality associated with this aspect must be controlled. This paper presents an automatic positional accuracy assessment (PAA) method for assessing this quality component of the regions obtained by means of the application of a textural segmentation algorithm to a Very High Resolution (VHR) aerial image. This method is based on the comparison between the ideal segmentation and the computed segmentation by counting their differences. Therefore, it has the same conceptual principles as the automatic procedures used in the evaluation of the GI´s positional accuracy. As in any PAA method, there are two key aspects related to the sample that were addressed: (i) its size—specifically, its influence on the uncertainty of the estimated accuracy values—and (ii) its categorization. Although the results obtained must be taken with caution, they made it clear that automatic PAA procedures, which are mainly applied to carry out the positional quality assessment of cartography, are valid for assessing the positional accuracy reached using other types of processes. Such is the case of the IS process presented in this study.

scholarly journals Positional Accuracy Assessment for Updating Authoritative Geospatial Datasets Based on Open Source Data and Remotely Sensed Images

2020 ◽  
Vol 26 (2) ◽  
pp. 70-84 ◽  
Author(s):  
Mervat S. Jasem ◽  
Odey AL-Hamadani
Keyword(s):  
High Resolution ◽  
Data Collection ◽  
Open Source ◽  
Spatial Data ◽  
Road Network ◽  
Data Sources ◽  
National Standard ◽  
Positional Accuracy ◽  
Data Collection Methods ◽  
Collection Methods

OpenStreetMap (OSM) represents the most common example of online volunteered mapping applications. Most of these platforms are open source spatial data collected by non-experts volunteers using different data collection methods. OSM project aims to provide a free digital map for all the world. The heterogeneity in data collection methods made OSM project databases accuracy is unreliable and must be dealt with caution for any engineering application. This study aims to assess the horizontal positional accuracy of three spatial data sources are OSM road network database, high-resolution Satellite Image (SI), and high-resolution Aerial Photo (AP) of Baghdad city with respect to an analogue formal road network dataset obtained from the Mayoralty of Baghdad (MB). The methodology of, U.S. National Standard Spatial Data Accuracy (NSSDA) was applied to measure the degree of agreement between each data source and the formal dataset (MB) in terms of horizontal positional accuracy by computing RMSE and NSSDA values. The study concluded that each of the three data sources does not agree with the MB dataset in both study sites AL-Aadhamiyah and AL-Kadhumiyah in terms of positional accuracy.

Development of the geoinformation system for hunting farms.

2017 ◽  
Author(s):  
М.Р.  Вагизов ◽  
Д.А. Дубов
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Organizational Structure ◽  
Spatial Data ◽  
Web Application ◽  
Geographic Information ◽  
Educational Process ◽  
Information Support ◽  
Quality Level ◽  
Strategy Of Development

Рассматривается необходимость разработки специализированной геоинформационной системы для отрасли охотничьего хозяйства. Указаны основные принципы проектирования и разработки приложения. Определены необходимые требования к проектируемой ГИС и задачи, которые способна решать система. Проведено описание организационной структуры геоинформационной системы и функции, подлежащие визуализации. Составлено схемотехнические решение и визуализация графического интерфейса взаимодействия пользователя с системой. В соответствии со Стратегией развития охотничьего хозяйства РФ до 2030 года, требуется повышать программно-информационное обеспечение охотпользователей. Обоснованием разработки является отсутствие единой системы сбора, хранения и систематизации данных о состоянии охотхозяйств, численности популяций и проведении необходимых мероприятий. Разработка специальной ГИС способна обеспечить поддержку в системе принятия решений человеком в интересах управления территориями охотхозяйств. Разработка продуманного интерактивного интерфейса позволит вывести ГИС на наиболее качественный уровень взаимодействия. Общеизвестно, что пространственные данные являются основой информационного обеспечения геоинформационных систем, в том числе локальных ГИС. Для непрерывного обновления геоданных требуется своевременная актуализация информации на сервере, в которой данная система развернута. Поэтому в качестве технологической основы выбрано проектирование именно веб-приложения, работающего через предустановленный браузер пользователя. Реализация функций данной ГИС, продуманный человеко-машинный интерфейс, включенный в ее состав, позволит использовать данную систему не только охотпользователям, но и заинтересованным специалистам в смежных отраслях: лесное хозяйство, картография, геоинформатика, зоогегография, охотоведение. Разработанная система может использоваться в учебном процессе при подготовке студентов по различным направлениям в высших образовательных учреждениях. Discusses the necessity of developing a specialized geographic information system for hunting groung. Carried out a description of the organizational structure of geoinformation systems and functions to be rendering. Determined necessary requirements for the design of the GIS and the tasks which the system are able to solve. The organizational structure of the geographic information system and the functions to be visualized are described. Compiled technical scheme and visualization GUI. In accordance with the strategy of development of the hunting industry of the Russian Federation until 2030, it is required to increase the software and information support for hunting users. The basis for development is the lack of a unified system of collection, storage and systematization of data on the state of hunting, population and carry out the necessary measures. The development of a special GIS is able to provide support in the system of decision-making by a person in the interests of managing the territories of hunting farms. The development of a thoughtful interactive interface will bring the GIS to the most high-quality level of interaction. It is well known that the spatial data are the basis for information support of geographic information systems, including local GIS. For continuous updates of the geodata requires a timely update information on the server in which the system is deployed. Therefore, as the technological base of the selected design it is the web application running through a preset user's browser. The implementation of the functions of this GIS, intelligent man-machine interface, included in its composition, will allow you to use this system not only hunters, but also to interested professionals in related industries, forestry, cartography, geoinformatics, zoogeography, and hunting. The developed system can be used in educational process for training students in various areas in higher educational institutions.

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