农业工程学报
農業工程學報
농업공정학보
2014年
8期
117-125
,共9页
王迪%周清波%陈仲新%刘佳
王迪%週清波%陳仲新%劉佳
왕적%주청파%진중신%류가
作物%外推总体%误差分析%空间抽样%玉米%种植面积%抽样单元尺度%样本空间布局
作物%外推總體%誤差分析%空間抽樣%玉米%種植麵積%抽樣單元呎度%樣本空間佈跼
작물%외추총체%오차분석%공간추양%옥미%충식면적%추양단원척도%양본공간포국
crops%extrapolation%error analysis%spatial sampling%maize%planting acreage%sampling unit scale%samples layout
抽样比、样本空间布局及抽样单元尺度是组成空间抽样调查方案的基础要素。为进一步改善现行农作物种植面积空间抽样调查效率,该文以吉林省德惠市为研究区,以玉米种植面积为研究对象,选取正方形网格作为抽样单元,通过空间分析、“3S”技术与传统抽样方法相结合进行农作物种植面积空间抽样方案优化设计试验研究。结果表明,抽样单元间空间自相关性随单元尺度的增大而增大,两者间呈线性正相关关系。当抽样单元尺度为500 m×500 m时,抽样单元间空间自相关性几乎不存在。遵循传统抽样理论要求样本间相互独立原则,选取500 m×500 m作为最优抽样单元尺度;对抽样单元内玉米种植面积与耕地面积进行相关分析发现,两者间存在极显著线性正相关关系。为提高玉米种植面积空间分层抽样效率,可选取耕地面积作为分层标志;以抽样外推总体相对误差(r)和变异系数(coefficient of variation,CV)为空间抽样效率评价指标,在4种(简单随机、系统等距、分层随机及分层系统等距)样本空间布局方式中,选取分层系统等距抽样作为最优样本布局方式;在7种抽样比(0.5%、1.0%、1.5%、2.0%、2.5%、3.0%、3.5%)设计水平中,选取1%作为最优抽样比。该文可为提高农作物面积空间抽样调查效率提供试验依据。
抽樣比、樣本空間佈跼及抽樣單元呎度是組成空間抽樣調查方案的基礎要素。為進一步改善現行農作物種植麵積空間抽樣調查效率,該文以吉林省德惠市為研究區,以玉米種植麵積為研究對象,選取正方形網格作為抽樣單元,通過空間分析、“3S”技術與傳統抽樣方法相結閤進行農作物種植麵積空間抽樣方案優化設計試驗研究。結果錶明,抽樣單元間空間自相關性隨單元呎度的增大而增大,兩者間呈線性正相關關繫。噹抽樣單元呎度為500 m×500 m時,抽樣單元間空間自相關性幾乎不存在。遵循傳統抽樣理論要求樣本間相互獨立原則,選取500 m×500 m作為最優抽樣單元呎度;對抽樣單元內玉米種植麵積與耕地麵積進行相關分析髮現,兩者間存在極顯著線性正相關關繫。為提高玉米種植麵積空間分層抽樣效率,可選取耕地麵積作為分層標誌;以抽樣外推總體相對誤差(r)和變異繫數(coefficient of variation,CV)為空間抽樣效率評價指標,在4種(簡單隨機、繫統等距、分層隨機及分層繫統等距)樣本空間佈跼方式中,選取分層繫統等距抽樣作為最優樣本佈跼方式;在7種抽樣比(0.5%、1.0%、1.5%、2.0%、2.5%、3.0%、3.5%)設計水平中,選取1%作為最優抽樣比。該文可為提高農作物麵積空間抽樣調查效率提供試驗依據。
추양비、양본공간포국급추양단원척도시조성공간추양조사방안적기출요소。위진일보개선현행농작물충식면적공간추양조사효솔,해문이길림성덕혜시위연구구,이옥미충식면적위연구대상,선취정방형망격작위추양단원,통과공간분석、“3S”기술여전통추양방법상결합진행농작물충식면적공간추양방안우화설계시험연구。결과표명,추양단원간공간자상관성수단원척도적증대이증대,량자간정선성정상관관계。당추양단원척도위500 m×500 m시,추양단원간공간자상관성궤호불존재。준순전통추양이론요구양본간상호독립원칙,선취500 m×500 m작위최우추양단원척도;대추양단원내옥미충식면적여경지면적진행상관분석발현,량자간존재겁현저선성정상관관계。위제고옥미충식면적공간분층추양효솔,가선취경지면적작위분층표지;이추양외추총체상대오차(r)화변이계수(coefficient of variation,CV)위공간추양효솔평개지표,재4충(간단수궤、계통등거、분층수궤급분층계통등거)양본공간포국방식중,선취분층계통등거추양작위최우양본포국방식;재7충추양비(0.5%、1.0%、1.5%、2.0%、2.5%、3.0%、3.5%)설계수평중,선취1%작위최우추양비。해문가위제고농작물면적공간추양조사효솔제공시험의거。
Sampling fraction, sample layout, and sampling unit scale are three basic elements of a spatial sampling scheme. It plays an important role in optimizing these factors for decreasing the sampling cost and improving the extrapolation accuracy of survey sampling. In this study, spatial analysis, “3S” techniques, and traditional sampling methods were employed to optimize the three basic elements, aiming at the problem that the spatial sampling efficiency is still poor due to only one basic element (e.g. the sampling unit scale) being optimized in the existing spatial sampling studies for crop acreage estimation. DeHui County in Jilin Province was chosen as the study area, maize planting acreage as the study object, and square grids as the shape of the sampling units. First, the sampling unit scale, sampling fraction, and sample layout were formulated based on the Second National land survey data, and the spatial distribution data of maize in the study area in 2009 (derived from SPOT image that the spatial resolution is 10 m). In order to analyze the relationship between the scale and spatial correlation of sampling units, the sampling unit scales were designed to be 8 levels, that is 500 m × 500 m, 1 000 m × 1 000 m, 1500m×1500m,2000m×2000m,2500m×2500m,3000m×3000m,3500m×3500m,and 4 000 m × 4 000 m, respectively, the sampling fractions were designed to be 7 levels, that is 0.5%, 1.0%, 1.5%, 2.0%, 2.5%, 3.0%, and 3.5%, and four patterns were selected as the samples layout, they are simple random sampling, system isometric sampling, stratified random sampling, and stratified system isometric sampling respectively to conduct the optimal design of the sampling fractions and samples layouts. Secondly, the optimal sampling unit scales were determined by introducing the global spatial autocorrelation index Moran’s I, following the traditional sampling principle that sampling units should be independent of each other;Thirdly, the samples were drawn, and the sample observations measured, population values were extrapolated, and the sampling errors were estimated using the designed spatial sampling scheme. Finally, the relative error of population extrapolation, coefficient of variation (CV) of the population total estimator, and sampling sizes were selected as the evaluation indices to find out the optimal sampling fraction and sample layout. The experimental results demonstrated that the spatial autocorrelation of sampling unit increases with its scales, and that there was a linear positive relationship between the sampling unit scale and spatial autocorrelation. While the sampling units scale was 500 m× 500 m, there was nearly no spatial autocorrelation among sampling units. Therefore, 500 m× 500 m was selected as the optimal sampling unit scale. In order to improve the stratified sampling efficiency, cropland area may be considered as a stratification index due to there being a very significant linear correlation between maize planting acreage and cropland area in sampling units;When the sampling fraction was the same level, the relative error and CV of population extrapolation which the sample layout was the stratified system isometric sampling were the lowest in four layout patterns;The efficiency of spatial sampling scheme in which the sampling fraction was 1%was the highest in the 7 designed levels. In this way, this research can provide a solution for improving the efficiency of a spatial sampling scheme to estimate crop acreage.