Uncertainty Modelling and Quality Control for Spatial Data
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Published By CRC Press

9781498733281, 9781498733342

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Uncertainty-Related Research Issues in Spatial Analysis

Uncertainty Modelling and Quality Control for Spatial Data ◽

10.1201/b19160-3 ◽

2015 ◽

pp. 3-11 ◽

Cited By ~ 7

Author(s):

Daniel Griffith ◽

David Wong ◽

Yongwan Chun

Keyword(s):

Spatial Analysis ◽

Research Issues ◽

Related Research

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Uncertainty Modelling and Quality Control

Uncertainty Modelling and Quality Control for Spatial Data ◽

10.1201/b19160-2 ◽

2015 ◽

pp. 1-2

Keyword(s):

Quality Control ◽

Uncertainty Modelling

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Front Matter

Uncertainty Modelling and Quality Control for Spatial Data ◽

10.1201/b19160-1 ◽

2015 ◽

pp. i-xiv

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First, Do No Harm: Eliminating Systematic Error in Analytical Results of GIS Applications

Uncertainty Modelling and Quality Control for Spatial Data ◽

10.1201/b19160-5 ◽

2015 ◽

pp. 27-43 ◽

Cited By ~ 1

Author(s):

N Chrisman ◽

J.-F Girres

Keyword(s):

Systematic Error ◽

Gis Applications ◽

Analytical Results ◽

Do No Harm

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Spatial Statistical Solutions in SDQ to Answer Agricultural Demands Based on Satellite Observations

Uncertainty Modelling and Quality Control for Spatial Data ◽

10.1201/b19160-4 ◽

2015 ◽

pp. 13-25

Author(s):

Alfred Stein ◽

Muhammad Imran ◽

Milad Mahour

Keyword(s):

Satellite Observations ◽

Statistical Solutions

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Qualitative and Quantitative Comparative Analysis of the Relationship between Sampling Density and DEM Error by Bilinear and Bicubic Interpolation Methods

Uncertainty Modelling and Quality Control for Spatial Data ◽

10.1201/b19160-15 ◽

2015 ◽

pp. 163-196

Author(s):

Wenzhong Shi ◽

Bin Wang ◽

Eryong Liu

Keyword(s):

Comparative Analysis ◽

Sampling Density ◽

Qualitative And Quantitative ◽

Interpolation Methods ◽

The Relationship ◽

Bicubic Interpolation

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Increasing the Accuracy of Classification Based on Ant Colony Algorithm

Uncertainty Modelling and Quality Control for Spatial Data ◽

10.1201/b19160-21 ◽

2015 ◽

pp. 269-283

Author(s):

Ming Yu ◽

Chen-Yan Dai ◽

Zhi-Lin Li

Keyword(s):

Ant Colony Algorithm ◽

Ant Colony

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A New Approach of Imprecision Management in Qualitative Data Warehouse

Uncertainty Modelling and Quality Control for Spatial Data ◽

10.1201/b19160-10 ◽

2015 ◽

pp. 101-118

Author(s):

F Amanzougarene ◽

M Chachoua ◽

K Zeitouni

Keyword(s):

Data Warehouse ◽

Qualitative Data ◽

New Approach

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Uncertainty Modelling and Quality Control for Spatial DataLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By CRC Press

Uncertainty-Related Research Issues in Spatial Analysis

Uncertainty Modelling and Quality Control

Front Matter

First, Do No Harm: Eliminating Systematic Error in Analytical Results of GIS Applications

Spatial Statistical Solutions in SDQ to Answer Agricultural Demands Based on Satellite Observations

Qualitative and Quantitative Comparative Analysis of the Relationship between Sampling Density and DEM Error by Bilinear and Bicubic Interpolation Methods

Increasing the Accuracy of Classification Based on Ant Colony Algorithm

A New Approach of Imprecision Management in Qualitative Data Warehouse

Uncertainty Modelling and Quality Control for Spatial Data
Latest Publications