Wenzhong Shi

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses (eBook, PDF)

• Format: PDF

Produktbeschreibung

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of t

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 432
• Erscheinungstermin: 30. September 2009
• Englisch
• ISBN-13: 9781420059281
• Artikelnr.: 42619425

Autorenporträt

Wenzhong Shi

Inhaltsangabe

Overview. Introduction. Sources of Uncertainty in Spatial Data and Spatial
Analysis. Mathematical Foundations. Modeling Uncertainties in Spatial Data.
Modeling Positional Uncertainty in Spatial Data. Modeling Attribute
Uncertainty. Modeling Integrated Positional and Attribute Uncertainty.
Modeling Uncertain Topological Relations. Modeling Uncertainties in Spatial
Model. Uncertainty in Digital Elevation Models. Modeling Uncertainties in
Spatial Analyses. Modeling Positional Uncertainties in Overlay Analysis.
Modeling Positional Uncertainty in Buffer Analysis. Modeling Positional
Uncertainty in Line Simplification Analysis. Quality Control of Spatial
Data. Quality Control for Object-Based GIS Data. Quality Control for
Field-Based GIS Data. Improved Interpolation Methods for Digital Elevation
Model. Presentation of Data Quality Information. Visualization of
Uncertainties in Spatial Data and Analyses. Metadata on Spatial Data
Quality. Web Service-Based Spatial Data Quality Information System. Epilog.