生态学报2017，Vol.37Issue(19)：6346-6354,9.DOI:10.5846/stxb201607221487
应用自组织映射方法的北京市2005-2013年土地利用时空演变分析
Land use spatial-temporal evolution analysis using a self-organizing map in Beijing, 2005-2013
摘要
Abstract
Multiple time series land using spatial-temporal evolution analysis is an important research area.In this study,we investigated the spatial-temporal integrated expression of multiple time series land use change.A self-organizing map (SOM) neural network was used to explore regional land use change modes and to analyze what has driven these changes.Remote sensing data for five land use classification data periods (2005,2007,2009,2011,and 2013) for Beijing were used to train the network,and the outputs identified the aggregation modes for building land,farmland,forest land,grassland,and gardens by using the clustering,dimension-reducing,and visual functions of the SOM.Then we conducted second-step clustering to produce the neuron and build the land use change trajectories that are needed to analyze the spatial-temporal features of Beijing suburban land use changes during the five monitoring periods.The results revealed that there were two land use changes in the Beijing suburbs between 2005 and 2013.One was the development of buildings on farmland located on the plains and the other was the development of forest land in mountainous areas.Furthermore,development in each district had its own time sequences.This meant that we eventually obtained six land use change trajectories in total.关键词
自组织映射(SOM)/土地利用变化/多时间序列/时空分析/轨迹分析Key words
self-organizing map (SOM)/land use change/multiple time series/spatial-temporal analysis/trajectory analysis引用本文复制引用
齐建超,刘慧平,伊尧国..应用自组织映射方法的北京市2005-2013年土地利用时空演变分析[J].生态学报,2017,37(19):6346-6354,9.基金项目
中央高校基本科研业务费专项资金资助项目 （）
北京市共建项目专项资助 （）
国家自然科学基金项目(40671127) （40671127）
国土资源部公益性行为科研专项(201411015-03) （201411015-03）
