本文選題：自組織特征映射模型　切入點(diǎn)：指數(shù)模型　出處：《測(cè)繪科學(xué)》2017年09期

【摘要】：針對(duì)榆林東北部地區(qū)新石器時(shí)代的環(huán)境宜居性分布規(guī)律進(jìn)行研究,通過(guò)SOFM神經(jīng)網(wǎng)絡(luò)模型對(duì)研究區(qū)聚落等級(jí)進(jìn)行劃分,結(jié)合地形高程、坡度、坡向、距水系距離、植被覆蓋度等因子,構(gòu)建指數(shù)模型。研究結(jié)果表明,研究區(qū)遺址大都分布在海拔1 000~1 200m、坡度3~9°、距水系距離為0~800m、坡向?yàn)殛?yáng)坡以及植被覆蓋度較好的區(qū)域,一級(jí)聚落均分布在古代環(huán)境宜居性較高的區(qū)域。與僅使用地形因子建立的指數(shù)模型相比,加入植被覆蓋度和聚落等級(jí)因子的模型對(duì)不宜居的沙漠和遺址分布空白區(qū)域劃分的宜居性等級(jí)低,對(duì)遺址分布密集的宜居區(qū)域劃分的宜居性等級(jí)高,宜居性等級(jí)劃分結(jié)果與各等級(jí)遺址密度分布的客觀事實(shí)更為吻合,綜合因子模型對(duì)區(qū)域宜居性等級(jí)劃分更為精確。
[Abstract]:Based on the study of the distribution law of environmental habitability in the Neolithic era in the northeast of Yulin, the settlement grade of the study area was divided by SOFM neural network model, combined with the terrain elevation, slope, slope direction and distance from the river system. The results showed that most of the sites in the study area were distributed at an altitude of 1 000 ~ 1 200 m, with a slope of 3 ~ 9 擄, a distance of 0 ~ 800 m from a river system, and the slope direction was a sunny slope and an area with good vegetation coverage. The primary settlements are distributed in areas with high habitability in ancient environments, and compared with the exponential model established by using only topographic factors, The model with vegetation coverage and settlement grade factor has lower livable grade for uninhabitable desert and site distribution blank area, and higher livability grade for relic dense livable area. The results of livable classification are more consistent with the objective facts of density distribution of sites, and the comprehensive factor model is more accurate for the classification of regional livability.
【作者單位】： 中國(guó)科學(xué)院遙感與數(shù)字地球研究所;中國(guó)科學(xué)院大學(xué);
【基金】：十二五國(guó)家科技支撐計(jì)劃項(xiàng)目(2013BAK08B06,2015BAK01B01)
【分類號(hào)】：K878
，

本文編號(hào)：1699881