Multivariate kernels in GWR model to identify climatic micro-basins

摘要：

The aim of this work is to quantify the effect of temperature and precipitation on Normalized Difference Vegetation Index (NDVI). The relations between variables are analysed at the local level by estimating three GWR models. In an innovative way we apply some multivariate kernels to GWR models to better understand and examine the effect of spatial dimensions on spatial weights. Estimated models show a strong spatial variability of the parameters which highlights the importance of local models for this kind of studies.

作者: Massimo Mucciardi Pietro Bertuccelli

作者单位: Department D.E.S.Ma.S V.Pareto University of Messina Messina, Italy

会议类型: 国际会议

会议名称: International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)

会议地点: 武汉

会议语种:英文

页码: 1-4

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）