Evaluating the quality of authoritative geospatial datasets

Other Title(s)

تقييم دقة البيانات المكانية المنتجة من المؤسسات الرسمية

Joint Authors

Hasan, Duaa Salman
al-Bakri, Maytham Muṭashshar Sharqi

Source

Journal of Engineering

Issue

Vol. 23, Issue 11 (30 Nov. 2017), pp.121-137, 17 p.

Publisher

University of Baghdad College of Engineering

Publication Date

2017-11-30

Country of Publication

Iraq

No. of Pages

17

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Abstract EN

General Directorate of Surveying is considered one of the most important sources of maps in Iraq.

It produced digital maps for whole Iraq in the last six years.

These maps are produced from different data sources with unknown accuracy; therefore, the quality of these maps needs to be assessed.

The main aim of this study is to evaluate the positional accuracy of digital maps that produced from General Directorate of Surveying.

Two different study areas were selected: AL-Rusafa and AL-Karkh in Baghdad / Iraq with an area of 172.826 and 135.106 square kilometers, respectively.

Different statistical analyses were conducted to calculate the elements of positional accuracy assessment (mean µ, root mean square error RMSE, minimum and maximum errors).

According to the obtained results, it can be stated that the maps of the General Directorate of Surveying can be used in reconnaissance or in works that require low or specified positional accuracy (eg.

±5m), and it cannot be used for applications need high accuracy (e.g.

precise surveying).

American Psychological Association (APA)

al-Bakri, Maytham Muṭashshar Sharqi& Hasan, Duaa Salman. 2017. Evaluating the quality of authoritative geospatial datasets. Journal of Engineering،Vol. 23, no. 11, pp.121-137.
https://search.emarefa.net/detail/BIM-793785

Modern Language Association (MLA)

al-Bakri, Maytham Muṭashshar Sharqi& Hasan, Duaa Salman. Evaluating the quality of authoritative geospatial datasets. Journal of Engineering Vol. 23, no. 11 (Nov. 2017), pp.121-137.
https://search.emarefa.net/detail/BIM-793785

American Medical Association (AMA)

al-Bakri, Maytham Muṭashshar Sharqi& Hasan, Duaa Salman. Evaluating the quality of authoritative geospatial datasets. Journal of Engineering. 2017. Vol. 23, no. 11, pp.121-137.
https://search.emarefa.net/detail/BIM-793785

Data Type

Journal Articles

Language

English

Notes

Includes appendices : p. 129-137

Record ID

BIM-793785