Study on Variation of Forestland in Lugu Lake Scenery District Based on Technique of Spatial Data Mining

By using the remote sensing images of Lugu Lake scenery district in 1990 and 2005, the information about variation of forestland for 15 years has been extracted. Based on the technique of spatial data mining (SDM), both the universal geometrical characteristics of forestland variation patches and th...

Full description

Saved in:
Bibliographic Details
Main Authors: Liu, Ming, Zhao, Jing-zhu
Format: Conference Proceeding
Language:English
Subjects:
Analysis of variance
Association rules
Data mining
ecosystem management
ecosystem variation
Ecosystems
Focusing
Humans
Lakes
Lugu Lake
Remote sensing
Satellites
spatial data mining
Statistical analysis
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:By using the remote sensing images of Lugu Lake scenery district in 1990 and 2005, the information about variation of forestland for 15 years has been extracted. Based on the technique of spatial data mining (SDM), both the universal geometrical characteristics of forestland variation patches and the knowledge of spatial association rules have been mined by adapting statistical analysis method and cluster relation analysis method. On the basis of calculating and statistic analyzing the minimum, maximum, mean, variance, and mode of the objective geometric characteristic eigen values, the spatial distributed discipline and the association rule of variation patches have been analyzed, as well as the inner disciplines in forestland variation process; thus to provide a foundation for the study of driving forces of land use variation and the management of forest ecosystem in Lugu Lake scenery district.
DOI:10.1109/FSKD.2009.736