<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In the history of mankind, society was always heavily relying on the knowledge regarding their surroundings. Maps of already known areas were used in different areas of human activity, regardless if they were military applications or for plain orientation purposes. In the modern days of the 21st century, it is almost unimaginable for any corporate or private user to carry out their usual activity without precise knowledge of their (eventually larger than before) surroundings. One thing that changed in the past few years is that although people always used maps, the making of these were in the hand of certain specialists - the land surveyor engineers. Today, to a certain extent, any user can contribute to the expansion of existing maps (or even create new ones), thus leading to a vast dataset included in these maps. While this will theoretically further expand our knowledge regarding our surroundings, a natural question can come in everybody's mind: does the increasing quantity lead to unassailable quality as well? Can we enhance the reliability of existing maps and contribute to nearly error-free future maps?</p></abstract>

In the history of mankind, society was always heavily relying on the knowledge regarding their surroundings. Maps of already known areas were used in different areas of human activity, regardless if they were military applications or for plain orientation purposes. In the modern days of the 21st century, it is almost unimaginable for any corporate or private user to carry out their usual activity without precise knowledge of their (eventually larger than before) surroundings. One thing that changed in the past few years is that although people always used maps, the making of these were in the hand of certain specialists - the land surveyor engineers. Today, to a certain extent, any user can contribute to the expansion of existing maps (or even create new ones), thus leading to a vast dataset included in these maps. While this will theoretically further expand our knowledge regarding our surroundings, a natural question can come in everybody's mind: does the increasing quantity lead to unassailable quality as well? Can we enhance the reliability of existing maps and contribute to nearly error-free future maps?

Mapping Data - Quality, Quantity Or Both?

University of Oradea, Faculty of Architecture and Constructions, Department of Cadastre and Architecture, str. B. St. Delavrancea nr. 4, 410058 Oradea, Romania

Journal of Applied Engineering Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Mapping Data - Quality, Quantity Or Both?"}

In the history of mankind, society was always heavily relying on the knowledge regarding their surroundings. Maps of already known areas were used in different...

Mapping Data - Quality, Quantity Or Both?

Online veröffentlicht: 08. Juni 2015

Seitenbereich: 101 - 108

Eingereicht: 10. März 2015

Akzeptiert: 30. März 2015

DOI: https://doi.org/10.1515/jaes-2015-0013

Schlüsselwörter
Mapping Data Quality, Data Sampling, Mapping Data Error Estimation, Quality Standards

© N.Sz. Suba et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mapping Data - Quality, Quantity Or Both?

Online veröffentlicht: 08. Juni 2015

Seitenbereich: 101 - 108

Eingereicht: 10. März 2015

Akzeptiert: 30. März 2015

DOI: https://doi.org/10.1515/jaes-2015-0013

SchlüsselwörterMapping Data Quality, Data Sampling, Mapping Data Error Estimation, Quality Standards

© N.Sz. Suba et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Mapping Data Quality, Data Sampling, Mapping Data Error Estimation, Quality Standards