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Explaining variation in front gardens between suburbs of Hobart, Tasmania, Australia.

机译:解释澳大利亚塔斯马尼亚州霍巴特郊区之间前花园的变化。

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This paper determines the relationships between the dependent variables, presence of trees in front garden and front garden type, and socio-economic, environmental and demographic variables, at the suburb scale in Hobart, Tasmania, Australia. Garden type, largely following a pre-existing classification, and the presence/absence of trees, were recorded from 50 randomly located front gardens in each of 31 suburbs. The suburbs were classified into four groups on the basis of their spectrum of garden types and the percentage frequency of trees. Group one consisted of coastal suburbs of relatively high socio-economic status. Group 2 consisted of suburbs of moderate socio-economic status. Group 3 consisted of the poorest suburbs. The fourth group was composed of suburbs of high socio-economic status, located close to the centre of the city in hilly terrain. All except the rarest garden type occurred in all four groups of suburbs. Multiple regression and general linear models were used to predict tree presence, and the prevalence of particular garden types at the suburb level. Household income was the best predictor of the percentage frequency of trees in front gardens. The variables that appeared in models for garden types were: the percentage of the population with tertiary education (four instances); percentage of population older than 65 years (4); household income (3); percentage of households renting dwellings (3); altitude (3), rainfall (3); unemployment rate (2); percentage of population born in Australia (2); percentage of medium-sized gardens (2); suburb age (1); percentage of workforce in professional and managerial occupations (1). The 12 garden types that could be modelled responded individualistically to these independent variables..
机译:本文确定了澳大利亚塔斯马尼亚州霍巴特市郊区尺度上因变量,前花园和前花园类型中树木的存在以及社会经济,环境和人口变量之间的关系。从31个郊区的50个随机放置的前花园中记录了花园类型,很大程度上遵循了先前的分类以及树木的有无。根据花园类型的范围和树木的百分比频率,将郊区分为四类。第一组包括社会经济地位相对较高的沿海郊区。第2组由中等社会经济地位的郊区组成。第三组由最贫穷的郊区组成。第四组由具有较高社会经济地位的郊区组成,位于丘陵地带,靠近城市中心。除最罕见的花园类型外,所有其他类型都发生在所有四个郊区中。使用多元回归和一般线性模型来预测树木的存在以及郊区一级特定花园类型的流行。家庭收入是前花园树木百分比发生率的最佳预测指标。出现在花园类型模型中的变量是:受过高等教育的人口百分比(四个实例); 65岁以上人口的百分比(4);家庭收入(3);租住房屋的家庭百分比(3);海拔(3),降雨(3);失业率(2);在澳大利亚出生的人口百分比(2);中型花园的比例(2);郊区年龄(1);在专业和管理职业中的劳动力百分比(1)。可以建模的12种花园类型分别针对这些自变量进行响应。

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