DC-06 - Sample size selection
- Determine the minimum number and distribution of point samples for a given study area and a
- Determine minimum homogeneous ground area for a particular application
- Describe how spatial autocorrelation influences selection of sample size and sample statistics
- Assess the practicality of statistically reliable sampling in a given situation
- given statistical test of thematic accuracy
AM-68 - Rule Learning for Spatial Data Mining
Recent research has identified rule learning as a promising technique for geographic pattern mining and knowledge discovery to make sense of the big spatial data avalanche (Koperski & Han, 1995; Shekhar et al., 2003). Rules conveying associative implications regarding locations, as well as semantic and spatial characteristics of analyzed spatial features, are especially of interest. This overview considers fundamentals and recent advancements in two approaches applied on spatial data: spatial association rule learning and co-location rule learning.