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基于比较利益的中国棉花种植空间布局变化的成因分析——对湖北、山东和新疆三省(区)的实证分析 被引量:8
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作者 朱启荣 田新建 张旭青 《农业现代化研究》 CSCD 北大核心 2004年第5期340-343,共4页
20世纪80年代以来,我国棉花种植空间分布呈现出由南向北,向西北的新疆迁移的现象。本文以湖北、山东和新疆3个棉花主产省为分析对象,从比较利益的角度,对我国棉花主产省棉花种植布局变化的原因进行剖析。本文的结论是,尽管上述3省农户... 20世纪80年代以来,我国棉花种植空间分布呈现出由南向北,向西北的新疆迁移的现象。本文以湖北、山东和新疆3个棉花主产省为分析对象,从比较利益的角度,对我国棉花主产省棉花种植布局变化的原因进行剖析。本文的结论是,尽管上述3省农户在种植决策时对经济效益考虑的侧重点有所不同,但比较利益变化是造成我国棉花主产省种植布局变化的深层次原因。 展开更多
关键词 比较利益 棉花 空间布局变化
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政策影响下土地利用空间布局变化模拟分析
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作者 张萌 《价值工程》 2013年第17期296-299,共4页
目前,对土地利用在空间布局方面的研究已经成为新兴热点,而对于政策影响下的土地利用空间布局变化模拟研究与分析的成果尚只存少数。因此,本文在对研究区进行土地利用现状于结构和空间布局两方面的分析的基础上,根据研究区当前面临的主... 目前,对土地利用在空间布局方面的研究已经成为新兴热点,而对于政策影响下的土地利用空间布局变化模拟研究与分析的成果尚只存少数。因此,本文在对研究区进行土地利用现状于结构和空间布局两方面的分析的基础上,根据研究区当前面临的主要土地利用变化相关政策进行需求变化研究,通过合理选择土地利用分类,运用逻辑回归分析及ROC曲线等方法进行反复的驱动因子筛选,最终选出最适用于研究区特点的因子,并通过CLUE-S模型对土地利用变化政策在空间布局上的影响做出合理模拟。结果显示,采用确切符合研究区特点的参数设置,灵活多变地选用驱动因子可以有效地帮助实现运用CLUE-S模型同时模拟出"建设用地上山"、"建设用地为耕地腾挪土地"、"建设用地沿河沿路发展"、"重点产业用地扩张"等多项土地利用政策在空间上的布局,其结果对土地利用变化研究、土地利用规划工作等具有一定意义。 展开更多
关键词 政策驱动 空间布局 土地利用变化 CLUE—S模型 空间布局变化模拟
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Reconstructing Spatial Distribution of Historical Cropland in China′s Traditional Cultivated Region: Methods and Case Study 被引量:4
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作者 YANG Xuhong GUO Beibei +2 位作者 JIN Xiaobin LONG Ying ZHOU Yinkang 《Chinese Geographical Science》 SCIE CSCD 2015年第5期629-643,共15页
As an important part of land use/cover change(LUCC), historical LUCC in long time series attracts much more attention from scholars. Currently, based on the view of combining the overall control of cropland area and ... As an important part of land use/cover change(LUCC), historical LUCC in long time series attracts much more attention from scholars. Currently, based on the view of combining the overall control of cropland area and ′top-down′ decision-making behaviors, here are two global historical land-use datasets, generally referred as the Sustainability and the Global Environment datasets(SAGE datasets) and History Database of the Global Environment datasets(HYDE datasets). However, at the regional level, these global datasets have coarse resolutions and inevitable errors. Considering various factors that influenced cropland distribution, including cropland connectivity and the limitation of natural and human factors, this study developed a reconstruction model of historical cropland based on constrained Cellular Automaton(CA) of ′bottom-up′. Then, an available labor force index is used as a proxy for the amount of cropland to inspect and calibrate these spatial patterns. Applied the reconstruction model to Shandong Province, we reconstructed its spatial distribution of cropland during 8 periods. The reconstructed results show that: 1) it is properly suitable for constrained CA to simulate and reconstruct the spatial distribution of cropland in traditional cultivated region of China; 2) compared with ′SAGE datasets′ and ′HYDE datasets′, this study have formed higher-resolution Boolean spatial distribution datasets of historical cropland with a more definitive concept of spatial pattern in terms of fractional format. 展开更多
关键词 traditional cultivated region historical cropland reconstruction constrained Cellular Automaton (CA) Shandong Province
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Distribution Orientation and Driving Mechanism of Geographical Pattern Change of China′s Banking Industry 被引量:1
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作者 CHEN Dong FAN Jie 《Chinese Geographical Science》 SCIE CSCD 2011年第5期563-574,共12页
By analyzing the relationship among government, market driving forces, distribution orientation of banking industry, service opportunity equality and spatial patterns, this paper proposes that it is distribution orien... By analyzing the relationship among government, market driving forces, distribution orientation of banking industry, service opportunity equality and spatial patterns, this paper proposes that it is distribution orientation that lead to the formation and evolution of spatial pattern of banking industry. The difference of the distribution orientation leads to the separation of the spatial pattern of banking industry, and the change of the distribution orientation leads to the change of spatial pattern. The degree of spatial pattern change is subject to the degree of change of distribution orientation, and the scale of bank resources in the regions, which supports the distribution orientation variation. Based on these theoretical frameworks, some indicators were designed to analyze the pattern change of China′s banking industry and its effects since 1995 under the change of the distribution orientation. This paper finds that the orientation of economic benefit maximization driven by market causes the banking industry to concentrate in economically developed regions.The government, which does not follow the orientation of economic benefit maximization, plays a role of stabilizer. Since the bank branches in the regions with the greatest change in bank branch distribution are too few, and regions with the greatest change in bank loan allocation are the regions with lots of loans, the pattern change of the banking industry in physical form is not as notable as that in economic form. 展开更多
关键词 banking industry geographic pattern change distribution orientation driving mechanism China
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Quality Control and Analysis of Global Gauge-Based Daily Precipitation Dataset from 1980 to 2009 被引量:3
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作者 NIE Su-Ping LUO Yong +3 位作者 LI Wei-Ping WU Tong-Wen SHI Xue-Li WANG Zai-Zhi 《Advances in Climate Change Research》 2012年第1期45-53,共9页
A series of quality control(QC) procedures were performed on a gauge-based global daily precipitation dataset from the Global Telecommunication System(GTS) for the period 1980-2009.A new global daily precipitation(NGD... A series of quality control(QC) procedures were performed on a gauge-based global daily precipitation dataset from the Global Telecommunication System(GTS) for the period 1980-2009.A new global daily precipitation(NGDP) dataset was constructed by applying those QC procedures to eliminate erroneous records.The NGDP dataset was evaluated using the NOAA Climate Prediction Center Merged Analysis of Precipitation(CMAP) and the Global Precipitation Climatology Project(GPCP) precipitation datasets.The results showed that the frequency distribution and spatial distribution pattern of NGDP had a nice match with those from the CMAP and GPCP datasets.The global mean correlation coefficients with the CMAP and GPCP data increased from 0.24 for original GTS precipitation data to about 0.70 for NGDP data.Correspondingly,the root mean square errors(RMSE) decreased from 12 mm per day to 1 mm per day.The interannual variabilities of NGDP monthly precipitation are consistent with the CMAP and GPCP datasets in Asia.Meanwhile,the seasonal variabilities for most land areas on the Earth of NGDP dataset are also consistent with the CMAP and GPCP precipitation products. 展开更多
关键词 global surface weather report data GTS data daily precipitation quality control
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