Multiscale Data Conflation

Application of the FICUS data-conflation model to a theoretical humanitarian crisis analytical framework

10.21079/11681/32006 ◽

2019 ◽

Author(s):

Elizabeth Bastian ◽

Claire Munaretto ◽

Natalie Myers ◽

Carey Baxter ◽

Jamie Fishman ◽

...

Keyword(s):

Analytical Framework ◽

Humanitarian Crisis ◽

Data Conflation

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Geospatial Data Conflation

Geographic Information Science & Technology Body of Knowledge ◽

10.22224/gistbok/2019.3.5 ◽

2019 ◽

Vol 2019 (Q3) ◽

Author(s):

Ling Tei ◽

Keyword(s):

Geospatial Data ◽

Data Conflation

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A Snake-based Approach for TIGER Road Data Conflation

Cartography and Geographic Information Science ◽

10.1559/152304006779500669 ◽

2006 ◽

Vol 33 (4) ◽

pp. 287-298 ◽

Cited By ~ 12

Author(s):

Wenbo Song ◽

Timothy L. Haithcoat ◽

James M. Keller

Keyword(s):

Road Data ◽

Data Conflation

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An optimisation model for linear feature matching in geographical data conflation

International Journal of Image and Data Fusion ◽

10.1080/19479832.2011.577458 ◽

2011 ◽

Vol 2 (4) ◽

pp. 309-328 ◽

Cited By ~ 57

Author(s):

Linna Li ◽

Michael F. Goodchild

Keyword(s):

Feature Matching ◽

Geographical Data ◽

Linear Feature ◽

Optimisation Model ◽

Data Conflation

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Preliminary performance evaluation of an agent-based geospatial data conflation system

IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003. ◽

10.1109/iat.2003.1241142 ◽

2004 ◽

Cited By ~ 3

Author(s):

S. Rahimi ◽

J. Bjursell ◽

D. Ali ◽

M. cobb ◽

M. Paprzycki

Keyword(s):

Performance Evaluation ◽

Geospatial Data ◽

Agent Based ◽

Data Conflation

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Performance evaluation of SDIAGENT, a multi-agent system for distributed fuzzy geospatial data conflation

Information Sciences ◽

10.1016/j.ins.2005.07.009 ◽

2006 ◽

Vol 176 (9) ◽

pp. 1175-1189 ◽

Cited By ~ 7

Author(s):

S RAHIMI ◽

J BJURSELL ◽

M PAPRZYCKI ◽

M COBB ◽

D ALI

Keyword(s):

Performance Evaluation ◽

Geospatial Data ◽

Multi Agent System ◽

Agent System ◽

Multi Agent ◽

Data Conflation

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Large scale geospatial data conflation: A feature matching framework based on optimization and divide-and-conquer

Computers Environment and Urban Systems ◽

10.1016/j.compenvurbsys.2021.101618 ◽

2021 ◽

Vol 87 ◽

pp. 101618

Author(s):

Ting L. Lei

Keyword(s):

Large Scale ◽

Feature Matching ◽

Geospatial Data ◽

Divide And Conquer ◽

Data Conflation

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Improvement of Spatial Data Quality Using the Data Conflation

Computational Science and Its Applications - ICCSA 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21928-3_35 ◽

2011 ◽

pp. 492-500 ◽

Cited By ~ 4

Author(s):

Silvija Stankutė ◽

Hartmut Asche

Keyword(s):

Data Quality ◽

Spatial Data ◽

Spatial Data Quality ◽

Data Conflation

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A Study on Theory and Method of Spatial Vector Data Conflation

Research Journal of Applied Sciences Engineering and Technology ◽

10.19026/rjaset.5.4990 ◽

2013 ◽

Vol 5 (2) ◽

pp. 563-567 ◽

Cited By ~ 4

Author(s):

H.E. Dongcai

Keyword(s):

Vector Data ◽

Data Conflation

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Terrain data conflation using an improved pattern-based multiple-point geostatistical approach

10.1117/12.2068647 ◽

2014 ◽

Author(s):

Yunwei Tang ◽

Jingxiong Zhang ◽

Hui Li ◽

Haifeng Ding ◽

Linhai Jing

Keyword(s):

Multiple Point ◽

Geostatistical Approach ◽

Data Conflation

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