本文關(guān)鍵詞：基于土地利用和人口密度的中國糧食產(chǎn)量空間化，由筆耕文化傳播整理發(fā)布。

劉 忠,李保國.基于土地利用和人口密度的中國糧食產(chǎn)量空間化[J]. Spatial distribution of China grain output based on land use and population density

發(fā)布日期：2012-05-02瀏覽次數(shù)： 字號：[ ]

題目：基于土地利用和人口密度的中國糧食產(chǎn)量空間化[J].

Spatial distribution of China grain output based on land use and population density

作者：劉 忠,李保國.

期刊名稱：農(nóng)業(yè)工程學(xué)報，，2012,28(9):1-7

中文關(guān)鍵詞: 土地利用,人口,糧食,產(chǎn)量,空間化,地理信息系統(tǒng),遙感

英文關(guān)鍵詞：Land use population grain output Spatialization GIS RS

基金項目：“十二五”國家科技支撐計劃項目（2012BAD05B02）

摘要點擊次數(shù): 39

全文下載次數(shù): 22

中文摘要: 

    將統(tǒng)計信息運用到地理-生態(tài)過程相關(guān)研究中，是人類活動與地理-生態(tài)過程相結(jié)合的重要體現(xiàn)。農(nóng)業(yè)生產(chǎn)統(tǒng)計數(shù)據(jù)空間化的過程，即是恢復(fù)或重構(gòu)其空間分布特征的一種手段，可以為地理-生態(tài)過程研究提供數(shù)據(jù)支持。該文以人口密度為因變量，以土地利用數(shù)據(jù)為輔助因子，將省區(qū)級糧食產(chǎn)量分布到空間網(wǎng)格上，得到了我國2000年糧食產(chǎn)量1?km×1?km網(wǎng)格圖。通過在省級、地市州級和縣級尺度上的檢驗，表明利用該方法進(jìn)行糧食產(chǎn)量空間化能夠正確地表達(dá)糧食產(chǎn)量的空間分布規(guī)律，尤其對于主要糧食產(chǎn)區(qū)，具有很高的數(shù)據(jù)重現(xiàn)精度，可以作為農(nóng)業(yè)區(qū)相關(guān)研究的數(shù)據(jù)源。但其數(shù)據(jù)重現(xiàn)的準(zhǔn)確性隨著尺度的下降而下降。表明在粒度更細(xì)的情況下應(yīng)該考慮更多的影響糧食產(chǎn)量的因子。在今后的研究中，有必要結(jié)合更多的因子進(jìn)行糧食產(chǎn)量的空間化，以提高其數(shù)據(jù)重構(gòu)精度。

英文摘要:

    Applying statistics in geo-ecological process researches is an important manifestation of the combination of human activities and the geo-ecological process. Spatialization of agricultural statistics is a means to restore and reconstruct the spatial features of agricultural statistics. The resulting raster maps can provide data support for a wide range of geo-ecological studies. In support of land use, a regression model was constructed by taking population density as the dependent variable and grain yield per unit of arable land as independent one. The model was then applied to spatially distribute provincial-level grain output statistics, resulting in a 1 km×1 km grid for China’s grain output in 2000. The validation of the resulting maps by using grain output statistics at province-, municipal- and county- administrative units showed that the method can correctly map the spatial distribution of grain output, especially for the major grain producing areas, with a high accuracy of the data reproduction. The results can be used as a data source for geo-ecological studies in agricultural areas. The accuracy of gridded grain output was observed to decline with the downscaling of the administrative region. The paper concluded that a higher accuracy grid would be generated if more ancillary factors associated with grain outputs were incorporated.

  本文關(guān)鍵詞：基于土地利用和人口密度的中國糧食產(chǎn)量空間化，由筆耕文化傳播整理發(fā)布。