山东农业大学学报（自然科学版）2017，Vol.48Issue(1)：121-125,5.DOI:10.3969/j.issn.1000-2324.2017.01.025
基于PCA和SOFM的农村宅院综合分类及优化利用-以东营市初家村为例
Comprehensive Classification and Optimal Utilization of Rural House Based on PCA and SOFM -A case of Chujiacun village, Dongying City
摘要
Abstract
Taking Chujiacun village, Dongying city as a research region, based on remote sensing interpretation and field investigation data, using principal component analysis (PCA) and self-organizing feature map (SOFM) network model, the paper carried through comprehensive farmers house classification and put forward the suggestion of all kinds of house use, so that the paper can give scientific suggestions for all kinds of comprehensive house optimal utilization and village renovation. Results showed that the influence factors of rural house in Chujiacun village included 5 aspects, which were house economy, population, architecture, constitutive property and land area, and there were 5 comprehensive house types, which were high-income and non-agricultural house, median-income and non-agricultural house, median-income and high-use house, low-income and high-use house, and low-income and elderly house. Based on that, the paper put forward targeted suggestions of low-use and non-agricultural resident move to the town, give up house for compensation and the house continue to be used, multiple-occupations and agricultural resident house are renovated and reconstructed, old house are transformed into green space or reclaimed into cultivated land under the scenario of the whole village reservation, and the high quality home continue to use, the old house reclaimed into cultivated land under the scenario of the village integral moving.关键词
PCA/SOFM/农村宅院/综合分类/优化利用Key words
PCA/SOFM/rural house/comprehensive classification/optimal utilization分类
社会科学引用本文复制引用
王瑷玲,李方方,初康杰,石宁..基于PCA和SOFM的农村宅院综合分类及优化利用-以东营市初家村为例[J].山东农业大学学报（自然科学版）,2017,48(1):121-125,5.基金项目
山东省自然科学基金(ZR2013DM006) （ZR2013DM006）
山东农业大学现代农业发展研究院第三批研究课题(14xsk2-03) （14xsk2-03）
