Neighborhood Granulation and Rough Approximation of GIS Grid Data
Liao Weihu · Geospatial Information · 2011
GIS grid data can express continuous spatial phenomenon,each pixel's value of grid data has two types,that is continuous data and discrete data.This research aimed at continuous data space to study.It broke the former study that was based on the neighborhood of its own position,and it defined neighborhood from attribute value and distance formula.Different neighbor size could obtain different neighborhood for every grid pixel.We discussed upper and lower approximation of neighborhood particle from rough set.This research could provide a new method for grid data reclass and data analysis.