【摘要】：針對傳統(tǒng)抽樣調(diào)查工作面臨著野外調(diào)查工作量大、資料時效性較低且難以滿足人們對數(shù)據(jù)現(xiàn)勢性的高要求等一系列缺點,以新疆棉花種植主棉區(qū)沙灣縣、瑪納斯縣、呼圖壁縣為研究區(qū),結(jié)合遙感技術(shù)提出了一種基于PPS分層抽樣的空間抽樣設(shè)計方案,并將該方案用于研究區(qū)棉花種植面積的估算。結(jié)果顯示,PPS抽樣與分層抽樣結(jié)合后極大地提高了PPS抽樣反推總體的方法優(yōu)勢。分配樣本時分別采用按每層輔助變量之和的期望的算術(shù)平方根與該層待抽樣單位總數(shù)之積、每層輔助變量之和進行比例分配的2種分配方法,其對應(yīng)的反推總體的估計量變異系數(shù)分別為0.008、0.009,相對誤差分別為0.016、0.017,分層后的樣本變異程度極低,為反推結(jié)果的高精度打下了基礎(chǔ)。2種樣本分配方式的棉花種植面積提取精度均高于94%。該方法不僅精度高,而且在實際操作中簡單方便。
[Abstract]:In view of a series of shortcomings of the traditional sampling investigation work, such as the heavy workload of field investigation, the low timeliness of data and the difficulty in meeting the high demand for the present situation of data, etc., the main cotton growing area of Xinjiang, Shawan County and Manas County, is the main cotton growing area in Xinjiang. This paper presents a spatial sampling design scheme based on PPS stratified sampling in Hutubi County, which is based on remote sensing technology, and applies it to the estimation of cotton planting area in the study area. The results show that the combination of PPS sampling and stratified sampling greatly improves the advantage of PPS sampling. When the sample is allocated, two methods are used to distribute the sample according to the product of the arithmetic square root of the sum of the auxiliary variables in each layer and the total number of units to be sampled in that layer, and the sum of the auxiliary variables in each layer is allocated proportionally. The estimated coefficient of variation of the corresponding backstepping population is 0.008 / 0.009, and the relative error is 0.016 / 0.017, respectively. The variation of the sample after stratification is very low. The results laid a foundation for the high precision of the backstepping results, and the precision of cotton planting area extraction of the two methods of sample distribution was higher than that of 94%. This method not only has high precision, but also is simple and convenient in practical operation.
【作者單位】： 東華理工大學(xué)測繪工程學(xué)院;中國科學(xué)院遙感與數(shù)字地球研究所遙感科學(xué)國家重點實驗室;國家統(tǒng)計局農(nóng)村社會經(jīng)濟調(diào)查司;
【基金】：國家統(tǒng)計局新疆棉花種植面積遙感調(diào)查項目 國家自然基金項目(41371358) 國家“863”計劃項目(2014AA06A511) 國家科技重大專項(14CNIC-032079-32-02)
【分類號】：S562;S127
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本文編號：2300529