scholarly journals Mineral Prospectivity Mapping Method Integrating Multi-Sources Geology Spatial Data Sets and Case-Based Reasoning

2012 ◽  
Vol 04 (02) ◽  
pp. 77-85 ◽  
Author(s):  
Binbin He ◽  
Jianhua Chen ◽  
Cuihua Chen ◽  
Yue Liu
Keyword(s):  
Spatial Data ◽  
Mapping Method ◽  
Case Based Reasoning ◽  
Data Sets ◽  
Mineral Prospectivity Mapping ◽  
Mineral Prospectivity ◽  
Spatial Data Sets ◽  
Prospectivity Mapping ◽  
Case Based

Image processing in case-based reasoning

2005 ◽  
Vol 20 (3) ◽  
pp. 311-314 ◽  
Author(s):  
PETRA PERNER ◽  
ALEC HOLT ◽  
MICHAEL RICHTER
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Computer Tomography ◽  
Spatial Data ◽  
Case Based Reasoning ◽  
Data Sets ◽  
Spatial Data Sets ◽  
Case Based

This commentary summarizes case-based reasoning (CBR) research applied to image processing. It includes references to the systems, workshops, and landmark publications. Image processing includes a variety of image formats, from computer tomography images to remote sensing and spatial data sets.

Sustainable Industrial Site Redevelopment Planning Support

2017 ◽  
Vol 6 (2) ◽  
pp. 39-53 ◽  
Author(s):  
Tong Wang ◽  
Qi Han ◽  
Bauke de Vries
Keyword(s):  
Spatial Data ◽  
Web Application ◽  
Machine Learning Techniques ◽  
Case Based Reasoning ◽  
Data Sets ◽  
Industrial Site ◽  
Industrial Sites ◽  
The North ◽  
Learning Techniques ◽  
Spatial Data Sets

Abandoned industrial sites could be redeveloped in a sustainable way with the help of previous experience. This paper presents a case-based reasoning (CBR) approach to support sustainable industrial site redevelopment. For a target site that needs to be redeveloped, qualitative important key concerns are identified and quantitative attributes, which are important for sustainability, are calculated. The key concerns are generated from zoning documents and the attributes are calculated from spatial data sets. Machine learning techniques are used to find the most influential attributes to determine transition forms. Similar cases from the constructed case base are retrieved based on the algorithm the authors have proposed. The North Brabant region in the Netherlands is used as a case study. A web application is presented to illustrate the approach. The e-planning method provides a straightforward way to retrieve transition forms from similarly redeveloped cases for new regional planning tasks with a focus on sustainability.

scholarly journals A Monte Carlo-based framework for risk-return analysis in mineral prospectivity mapping

2020 ◽  
Vol 11 (6) ◽  
pp. 2297-2308 ◽  
Author(s):  
Ziye Wang ◽  
Zhen Yin ◽  
Jef Caers ◽  
Renguang Zuo
Keyword(s):  
Monte Carlo ◽  
Risk Return ◽  
Mineral Prospectivity Mapping ◽  
Mineral Prospectivity ◽  
Prospectivity Mapping
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