NDLI: Comparison of interpolation methods for typical meteorological factors based on GIS

Content Provider	IEEE Xplore Digital Library
Author	Gege Yang Jing Zhang Yanzhao Yang Zhen You
Copyright Year	2011
Description	Author affiliation: Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China (Yanzhao Yang; Zhen You) \|\| College of Resource Environment and Tourism, Capital Normal University, Beijing, China (Gege Yang; Jing Zhang)
Abstract	This study aims to estimate the spatial distribution patterns of three typical meteorological factors: maximum temperature, minimum temperature and precipitation in JiTai basin. Forty-seven-year monthly mean meteorological data were interpolated using Inverse distance weight (IDW), Ordinary kriging (OK) and Tension spline function (TPF). Cross-validation was applied to evaluate the accuracy of the above methods, and three indices including mean absolute error (MAE), mean relative error (MRE) and root mean squared error (RMSE) were used to compare the accuracy. The results reveal that the OK realization is the optimal method for interpolating mean values of both minimum temperature and precipitation monthly data over the past 47 years. Besides, the TPF is the proper method for maximum temperature with least MAE(1.37°C) and RMSE(1.73°C). Clearly indicating the tendency, the grid map based on the OK method appears to be much smoother, whereas the other two kinds which contain jaggies and “buphthalmos” look rough.
Starting Page	1
Ending Page	5
File Size	317018
Page Count	5
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5980721
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Temperature distribution Accuracy Meteorological factors Spatial distribution Interpolation method Meteorological factor JiTai basin Spline Sorting
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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