๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Uncertainty Modelling and Quality Control for Spatial Data

โœ Scribed by Shi Wenzhong (Editor); Bo Wu (Editor); Alfred Stein (Editor)


Publisher
CRC Press
Year
2015
Leaves
312
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Offers New Insight on Uncertainty ModellingFocused 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

โœฆ Table of Contents


UNCERTAINTY MODELLING AND QUALITY CONTROL. Uncertainty-Related Research Issues in Spatial Analysis. Spatial Statistical Solutions in Spatial Data Quality to Answer Agricultural Demands Based on Satellite Observations. Eliminating Systematic Error in Analytical Results of GIS Applications. Function Workflow Design for Geographic Information System: A Data Quality Perspective. UNCERTAINTIES IN MULTIDIMENSIONAL AND MULTISCALE DATA INTEGRATION. Data Quality in the Integration and Analysis of Data from Multiple Sources: Some Research Challenges. Quality Management of Reference Geo-Information. A New Approach of Imprecision Management in Qualitative Data Warehouse. Quality Assessment in River Network Generalisation by Preserving the Drainage Pattern. QUALITY CONTROL FOR SPATIAL PRODUCTS. Quality Control of DLG and Map Products. VGI for Land Administration: A Quality Perspective. Qualitative and Quantitative Comparative Analysis of the Relationship between Sampling Density and DEM Error by Bilinear and Bicubic Interpolation Methods. Automatic Method of Inspection for Deformation in Digital Aerial Imagery Based on Statistical Characteristics. Comparison of Point Matching Techniques for Road Network Matching. UNCERTAINTIES IN SPATIAL DATA MINING. Towards a Collaborative Knowledge Discovery System for Enriching Semantic Information about Risks of Geospatial Data Misuse. Uncertainty Management in Seismic Vulnerability Assessment Using Granular Computing Based on Neighborhood Systems. Increasing the Accuracy of Classification Based on Ant Colony Algorithm.

โœฆ Subjects


Environment & Agriculture;Agriculture & Environmental Sciences;Environmental Sciences;Earth Sciences;Earth Sciences;Geochemistry;Geostatistics;Geography;GIS, Remote Sensing & Cartography


๐Ÿ“œ SIMILAR VOLUMES


Principles of Modeling Uncertainties in
โœ Wenzhong Shi ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐ŸŒ English

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 dat

Uncertainty Approaches for Spatial Data
โœ Ashley Morris, Piotr Jankowski, Brian S. Bourgeois, Frederick E. Petry (auth.), ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><P>This volume is dedicated to the memory of Professor Ashley Morris who passed away some two years ago. Ashley was a close friend of all of us, the editors of this volume, and was also a Ph.D. student of one of us. We all had a chance to not only fully appreciate, and be inspired by his contribu