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Geographic Data Imperfection 1 - Bog

- From Theory to Applications

Bag om Geographic Data Imperfection 1

Geomatics is a field of science that has been intimately intertwined with our daily lives for almost 30 years, to the point where we often forget all the challenges it entails. Who does not have a navigation application on their phone or regularly engage with geolocated data? What is more, in the coming decades, the accumulation of geo-referenced data is expected to increase significantly. This book focuses on the notion of the imperfection of geographic data, an important topic in geomatics. It is essential to be able to define and represent the imperfections that are encountered in geographical data. Ignoring these imperfections can lead to many risks, for example in the use of maps which may be rendered inaccurate. It is, therefore, essential to know how to model and treat the different categories of imperfection. A better awareness of these imperfections will improve the analysis and the use of this type of data.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781786302977
  • Indbinding:
  • Hardback
  • Sideantal:
  • 224
  • Udgivet:
  • 16. august 2019
  • Størrelse:
  • 188x244x28 mm.
  • Vægt:
  • 885 g.
  • Ukendt - mangler pt..
Forlænget returret til d. 31. januar 2025

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Beskrivelse af Geographic Data Imperfection 1

Geomatics is a field of science that has been intimately intertwined with our daily lives for almost 30 years, to the point where we often forget all the challenges it entails. Who does not have a navigation application on their phone or regularly engage with geolocated data? What is more, in the coming decades, the accumulation of geo-referenced data is expected to increase significantly. This book focuses on the notion of the imperfection of geographic data, an important topic in geomatics. It is essential to be able to define and represent the imperfections that are encountered in geographical data. Ignoring these imperfections can lead to many risks, for example in the use of maps which may be rendered inaccurate. It is, therefore, essential to know how to model and treat the different categories of imperfection. A better awareness of these imperfections will improve the analysis and the use of this type of data.

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