Uncertainty Modelling and Quality Control for Spatial Data

Name: Uncertainty Modelling and Quality Control for Spatial Data
Brand: Taylor & Francis Inc
SKU: 9781498733281
Price: 1151.73 RON
Availability: InStock

Autor: Shi Wenzhong

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Legare: Copertă tare

Editura: Taylor & Francis Inc

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Offers New Insight on Uncertainty ModellingFocused on major research relative to spatial information...

Informații despre carte

Autor

Shi Wenzhong

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2015

Pagini

320

EAN

9781498733281

ISBN

9781498733281

Enbook ID

02809625

Editura

Taylor & Francis Inc

Greutate

780

Dimensiuni

156 x 234 x 23

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Offers New Insight on Uncertainty Modelling

Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties—such as data of questionable quality—in geographic information science (GIS) applications. By using original research, current advancement, and emerging developments in the field, the authors compile various aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book launches into areas that are rarely addressed.

Topics covered include:

New developments of uncertainty modelling, quality control of spatial data, and related research issues in spatial analysis

Spatial statistical solutions in spatial data quality

Eliminating systematic error in the analytical results of GIS applications

A data quality perspective for GIS function workflow design

Data quality in multi-dimensional integration

Research challenges on data quality in the integration and analysis of data from multiple sources

A new approach for imprecision management in the qualitative data warehouse

A multi-dimensional quality assessment of photogrammetric and LiDAR datasets based on a vector approach

An analysis on the uncertainty of multi-scale representation for street-block settlement

Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation, national or regional spatial data products, and new spatial data mining methods.

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