Different Roles and Definitions of Spatial Data Fusion

Geographic information is created by manipulating geographic (or spatial) data (generally known by the abbreviation geodata) in a computerized system. Geo-spatial information and geomatics are issues of modern business and research. It is essential to provide their different definitions and roles in order to get an overall picture of the issue. This article discusses about the problematic of definitions, but also the technologies and challenges within spatial data fusion.

[1]  Chih-Jen Lin,et al.  A tutorial on?-support vector machines , 2005 .

[2]  Maurizio Rafanelli.  Multidimensional Databases: Problems and Solutions , 2003 .

[3]  Gary M. Pereira,et al.  A Typology of Spatial and Temporal Scale Relations , 2002 .

[4]  Elisa Bertino,et al.  XML and Data Integration , 2001, IEEE Internet Comput..

[5]  James F. Peters,et al.  Ethology-Based Approximate Adaptive Learning: A Near Set Approach , 2009 .

[6]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[7]  Yvan Bédard,et al.  SOLAP technology: Merging business intelligence with geospatial technology for interactive spatio-temporal exploration and analysis of data , 2005 .

[8]  Weiru Liu,et al.  Fusion rules for merging uncertain information , 2006, Inf. Fusion.

[9]  Yong Seog Kim.  Information Fusion via a Hierarchical Neural Network Model , 2005, J. Comput. Inf. Syst..

[10]  Jennifer A. Miller,et al.  Modeling Forest Species Distributions in a Human-Dominated Landscape in Northeastern, USA , 2013, Int. J. Appl. Geospat. Res..

[11]  James B. Pick.  Geographic Information Systems in Business , 2005 .

[12]  Ah Chung Tsoi,et al.  Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference , 2001, Machine Learning.

[13]  Wei Feng,et al.  Delay-Range-Dependent Robust Stability for Uncertain Stochastic Neural Networks with Time-Varying Delays , 2010, Int. J. Softw. Sci. Comput. Intell..

[14]  Harald Hruschka,et al.  Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation , 1999, Eur. J. Oper. Res..

[15]  Nasser Sherkat,et al.  Intelligent laser scanning of 3d surfaces using optical camera data , 2006 .

[16]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[17]  Anthony Hunter,et al.  Fusion rules for context-dependent aggregation of structured news reports , 2004, J. Appl. Non Class. Logics.

[18]  Sophie Cockcroft.  A Taxonomy of Spatial Data Integrity Constraints , 1997, GeoInformatica.

[19]  Eija Koskivaara.  Artificial neural networks for analytical review in auditing , 2004 .

[20]  Michael I. Jordan.  Serial Order: A Parallel Distributed Processing Approach , 1997 .

[21]  Hassan A. Karimi,et al.  Handbook of Research on Geoinformatics , 2008 .

[22]  Gary Hackbarth,et al.  Strategic Positioning of Location Applications for Geo-Business , 2005 .

[23]  P A J van Oort,et al.  Do Users Ignore Spatial Data Quality? A Decision‐Theoretic Perspective , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[24]  Shuenn-Yuh Lee,et al.  A Performance Prediction Method with an Equation-Based Behavioral Model for a Single-Bit Single-Loop Sigma-Delta Modulator , 2012, Int. J. Softw. Sci. Comput. Intell..

[25]  Rahul Singh.  Learning and Prediction of Complex Molecular Structure-Property Relationships: Issues and Strategies for Modeling Intestinal Absorption for Drug Discovery , 2011 .

[26]  Susan M. Roberts,et al.  NGOs and the globalization of managerialism: A research framework , 2005 .

[27]  Lucien Wald,et al.  Some terms of reference in data fusion , 1999, IEEE Trans. Geosci. Remote. Sens..

[28]  A. B. M. Shawkat Ali,et al.  Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine , 2012 .

[29]  Subhasish Dasgupta,et al.  Geospatial information utility: an estimation of the relevance of geospatial information to users , 2004, Decis. Support Syst..

[30]  Gerhard Fischer,et al.  Knowledge Management: Problems, Promises, Realities, and Challenges , 2001, IEEE Intell. Syst..

[31]  Murugan Anandarajan,et al.  Profiling Web Usage in the Workplace: A Behavior-Based Artificial Intelligence Approach , 2002, J. Manag. Inf. Syst..

[32]  Christian Wachinger,et al.  Learning Manifolds: Design Analysis for Medical Applications , 2012 .

[33]  Norhalina Senan,et al.  Rough and Soft Set Approaches for Attributes Selection of Traditional Malay Musical Instrument Sounds Classification , 2012, Int. J. Softw. Sci. Comput. Intell..

[34]  Alberto Maria Segre,et al.  Programs for Machine Learning , 1994 .

[35]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..

[36]  Marc Vanderhaegen,et al.  Contribution of a European spatial data infrastructure to the effectiveness of EIA and SEA studies , 2005 .

[37]  Eric P. Crist,et al.  Comparisons of the dimensionality and features of simulated Landsat-4 MSS and TM data , 1984 .

[38]  Colleen Allen.  Campaign '92: The campaign library from Mead Data Central , 1992 .

[39]  Carl Franklin,et al.  An Introduction to Geographic Information Systems: Linking Maps to Databases [and] Maps for the Rest of Us: Affordable and Fun. , 1992 .

[40]  Patrick Bogaert,et al.  Temporal GIS: Advanced Functions for Field-Based Applications , 2002 .

[41]  Yingxu Wang,et al.  The Formal Design Model of a File Management System (FMS) , 2011, Int. J. Softw. Sci. Comput. Intell..

[42]  Eric P. Crist,et al.  A Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap , 1984, IEEE Transactions on Geoscience and Remote Sensing.

[43]  Hitoshi Ogawa,et al.  Perceiving the Social: A Multi-Agent System to Support Human Navigation in Foreign Communities , 2010, Int. J. Softw. Sci. Comput. Intell..

[44]  Guo-Zheng Li,et al.  Machine Learning for Clinical Data Processing , 2012 .

[45]  Stefano Tarantola,et al.  Uncertainty and sensitivity analysis: tools for GIS-based model implementation , 2001, Int. J. Geogr. Inf. Sci..

[46]  Lucien Wald.  A Conceptual Approach To The Fusion Of Earth Observation Data , 2000 .