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DOI | 10.1016/j.envsoft.2019.02.011 |
Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables | |
Wagner, Paul D.; Fohrer, Nicola | |
发表日期 | 2019 |
ISSN | 1364-8152 |
EISSN | 1873-6726 |
卷号 | 115页码:155-163 |
英文摘要 | Land use and hydrology are interdependent, so that land use modeling could benefit from hydrologic modeling. This study aims to integrate spatial predictions of hydrologic variables as provided by a hydrologic model into a land use model for a rapidly urbanizing catchment in India. The benefits of this integration are quantified by comparing predictions of a land use model that uses a basic set of explanatory variables to a land use model that additionally uses the modeled hydrologic variables. Our results indicate that the integration of the hydrologic variables improved the model accuracy indicated by overall accuracy (+ 3 and + 4 percentage points (pp)), class specific user and producer accuracies (up to + 8 pp) and figure of merit (+ 4 and + 5.3 pp) when compared with land use classifications at two points in time. Moreover, the land use patterns show that the integration of the hydrologic variables helped to avoid allocation errors. |
WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology |
来源期刊 | ENVIRONMENTAL MODELLING & SOFTWARE
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/97449 |
作者单位 | Univ Kiel, Inst Nat Resource Conservat, Dept Hydrol & Water Resources Management, D-24118 Kiel, Germany |
推荐引用方式 GB/T 7714 | Wagner, Paul D.,Fohrer, Nicola. Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables[J],2019,115:155-163. |
APA | Wagner, Paul D.,&Fohrer, Nicola.(2019).Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables.ENVIRONMENTAL MODELLING & SOFTWARE,115,155-163. |
MLA | Wagner, Paul D.,et al."Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables".ENVIRONMENTAL MODELLING & SOFTWARE 115(2019):155-163. |
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