Spatial rough set-based geographical detectors for nominal target variables
Spatial rough set theory is an extension of classical rough set theory that is designed to
handle spatial data. Different from its classical analog, spatial rough set theory approximates …
handle spatial data. Different from its classical analog, spatial rough set theory approximates …
A fuzzy rough sets-based data-driven approach for quantifying local and overall fuzzy relations between variables for spatial data
H Bai, J Jing, D Li, Y Ge - Applied Soft Computing, 2024 - Elsevier
Exploring the relationships between variables is a crucial component in comprehending
geographical phenomena. Most existing methods ignore the vagueness hidden in spatial …
geographical phenomena. Most existing methods ignore the vagueness hidden in spatial …
[PDF][PDF] The use of rough rules in the selection of topographic objects for generalizing geographical information
A Fiedukowicz - Polish Cartographical Review, 2020 - sciendo.com
Selection is a key element of the cartographic generalisation process, often being its first
stage. On the other hand it is a component of other generalisation operators, such as …
stage. On the other hand it is a component of other generalisation operators, such as …
A spatial heterogeneity-based rough set extension for spatial data
When classical rough set (CRS) theory is used to analyze spatial data, there is an
underlying assumption that objects in the universe are completely randomly distributed over …
underlying assumption that objects in the universe are completely randomly distributed over …
Metodyka wykorzystania reduktów i reguł przybliżonych w procesie generalizacji informacji geograficznej
A Fiedukowicz - 2017 - repo.pw.edu.pl
It has been 150 years since Sydow called cartographic generalization one of the three “a
reef” of cartography but it still remains one of the key challenges for the cartographic …
reef” of cartography but it still remains one of the key challenges for the cartographic …