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基于CA-Markov模型的洞庭湖区土地利用变化模拟研究 被引量:1
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作者 袁淑君 王莹 《农场经济管理》 2023年第11期42-47,共6页
本文以洞庭湖区为研究对象,通过回归分析进一步探索了各驱动因子和各土地类型空间布局上的潜在关系,在此基础上,利用CA-Markov模型,根据现有趋势预测2035年洞庭湖区土地利用类型布局。模拟的2035年土地利用空间布局中,建设用地、草地、... 本文以洞庭湖区为研究对象,通过回归分析进一步探索了各驱动因子和各土地类型空间布局上的潜在关系,在此基础上,利用CA-Markov模型,根据现有趋势预测2035年洞庭湖区土地利用类型布局。模拟的2035年土地利用空间布局中,建设用地、草地、水域和未利用土地面积将保持增加趋势,耕地和林地面积将保持减少趋势。总体而言,洞庭湖区城市化进程大大加快,主要集中在岳阳楼区、武陵区和赫山区。草地、水域和未利用地主要分布在城镇和地区的边缘。本文旨在分析洞庭湖区土地利用变化的内在规律,以期为洞庭湖区土地资源的优化配置提供参考。 展开更多
关键词 土地利用变化 binary-logistic线性回归 CA-Markov模型 洞庭湖区
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Factors Associated with Trait Anger Level of Juvenile Offenders in Hubei Province: A Binary Logistic Regression Analysis
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作者 唐丽娜 叶小舟 +5 位作者 颜秋歌 常红娟 马玉巧 刘德斌 李枝艮 余毅震 《Journal of Huazhong University of Science and Technology(Medical Sciences)》 SCIE CAS 2017年第1期20-24,共5页
The risk factors of high trait anger of juvenile offenders were explored through questionnaire study in a youth correctional facility of Hubei province, China. A total of 1090 juvenile offenders in Hubei province were... The risk factors of high trait anger of juvenile offenders were explored through questionnaire study in a youth correctional facility of Hubei province, China. A total of 1090 juvenile offenders in Hubei province were investigated by self-compiled social-demographic questionnaire, Childhood Trauma Questionnaire(CTQ), and State-Trait Anger Expression Inventory-Ⅱ(STAXI-Ⅱ). The risk factors were analyzed by chi-square tests, correlation analysis, and binary logistic regression analysis with SPSS 19.0. A total of 1082 copies of valid questionnaires were collected. High trait anger group(n=316) was defined as those who scored in the upper 27 th percentile of STAXI-Ⅱ trait anger scale(TAS), and the rest were defined as low trait anger group(n=766). The risk factors associated with high level of trait anger included: childhood emotional abuse, childhood sexual abuse, step family, frequent drug abuse, and frequent internet using(P〈0.05 or P〈0.01). Birth sequence, number of sibling, ranking in the family, identity of the main care-taker, the education level of care-taker, educational style of care-taker, family income, relationship between parents, social atmosphere of local area, frequent drinking, and frequent smoking did not predict to high level of trait anger(P〉0.05). It was suggested that traumatic experience in childhood and unhealthy life style may significantly increase the level of trait anger in adulthood. The risk factors of high trait anger and their effects should be taken into consideration seriously. 展开更多
关键词 trait anger childhood trauma questionnaire juvenile offenders binary-logistic regression
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