决策树在城市建成区破碎化模型中的应用

Nesha Ranaweera, A. Jayasinghe, C. Abenayake
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引用次数: 0

摘要

土地破碎化可以定义为“一个面积/单位由大量小块土地组成,而小块土地又无法合理利用”[5]。土地破碎化通过对环境、经济和社会成本的多重影响影响可持续发展[13]。有效的土地利用管理和政策决策总是基于对城市土地利用变化的理解、建模和预测[9]。因此,应系统地调查土地破碎化过程,以提供一套广泛的土地利用指标,以支持可持续发展[12]。建设用地细碎化是指在建设用地范围内对建设地块或建设单元进行横向的破碎或划分。本研究的目的是构建决策树(DT)模型来识别城市建成区土地破碎化程度与其影响因素之间的非线性关系。次级目标是量化斯里兰卡西部省的低森林覆盖率。研究范围仅限于LBLF和DT非线性分类器。本研究进一步量化了斯里兰卡西部省2000 - 2010年的土地利用效率,作为构建DT模型的开端。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decision tree application for model built-up land fragmentation in urban areas
Land fragmentation can define as the “situation where one area/unit is composed of a large number of parcels that are too small for their rational utilization” [5]. Land fragmentation affects sustainable development through its multiple impacts on environmental, economic, and social costs [13]. Effective land use management and policy decisions are always based on understanding, modeling, and predicting land-use changes in cities [9]. Therefore, the land fragmentation process should systematically investigate to provide a wide-ranging set of land use indicators to support sustainable development [12]. Built-up land fragmentation is the fragmentation or division of the built-up plots or units within the built-up land-use area horizontally. The objective of this study is to frame a Decision Tree (DT) model to identify the non-linear relationships between the Level of Built-up Land Fragmentation (LBLF) and its influencing factors in urban areas. The sub-objective is to quantify the LBLF in the Western Province, Sri Lanka. The study scope limits to LBLF and Decision Tree (DT) non-linear classifier. The study further quantifies the LBLF from 2000 to 2010 in Western Province, Sri Lanka as an initiation to frame the DT model.
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