PDF Download

[1]SONG Xiang-yang,WU Fa-qi.Application of the Spatial Interpolation Methods to the Study on Micro-DEM[J].Research of Soil and Water Conservation,2010,17(05):45-50.

Copy

Application of the Spatial Interpolation Methods to the Study on Micro-DEM

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 17 Number of periods: 2010 05 Page number: 45-50 Column: Public date: 2010-10-20

Title:: Application of the Spatial Interpolation Methods to the Study on Micro-DEM

Author(s):: SONG Xiang-yang, WU Fa-qi; College of Resources and Environment, Northwest A & F University, Yangling, Shaanxi 712100, China

Keywords:: tillage measures; GIS; Centimeter DEM; spatial interpolation

CLC:: P231.5

DOI:: -

Abstract:: This article choose the predictive error of root-mean-square, semivariogram and error cloud as quantitative index to explore the interpolation methods of Micro-DEM of different tillage measures in order to find the best interpolation method of the construction of Micro-DEM. The results show that: The disjunctive kriging based on geostatistical menthod is more better than others for contour tillage; Artificial digging should choose the method of local polynomial interpolation; Artificial hoeing should choose radial basis functions based on completely regularized spline; There is no more differences for linear slope among different spatial interpolation methods. This research is the theoretic base for interpolation methods of Micro-DEM under the different measures, and facilitate the further study of the mechanism of soil erosion in the sloping plantation of the Loess Plateau

References:: [1] 李志林,朱庆.数字高程模型[M].2版.武汉:武汉大学出版社,2007.
[2] Wackernagel H.Multivariate Geostatistics: An Introduction with application[M].3rd Edition.Berlin:Springer Verlag,2003:416-429.
[3] 王劲峰,李连发,葛咏,等.地理信息空间分析的理论体系探讨[J].地理学报,2000,55(1):92-98.
[4] Hutchinson M F.Anew procedure for girding elevation and strearm line data with automatic removal of spurious pits[J].Journal or Hydrology,1989,106(3/4):211-232.
[5] Hutchinson M F.ANUDEM version 5.1 User Guide[C] //Centre for Resource and Environmental Studies.The Australian National University,Canberra,2004:1-22.
[6] 邓小波,罗宇翔,于飞,等.西南复杂山地农业气候要素空间插值方法比较[J].中国农业气象,2008,29(4):458-462.
[7] 杨昕,汤国安,刘学军,等.数字地形分析的理论方法与应用[J].地理学报,2009,64(9):1058-1070.
[8] 孟庆香,刘国彬,杨勤科.基于GIS 的黄土高原气象要素空间插值方法[J].水土保持研究,2010,17(1):10-14.
[9] 李新,陈国栋,卢玲.空间内插方法比较[J].地球科学研究,2000,15(3):260-264.
[10] Tang Keli,Zhen Fenli,Ca Xuan.Soil erosion on the sloping farmland in the loess plateau of China[C] //Proceedings of the Fourth International Symposium on River Sedimentation.Beijing:China Ocean Press,1989.
[11] 常文渊,戴新刚,陈洪武.地质统计学在气象要素场插值的实例研究[J].地球物理学报,2004,47(6):982-990.
[12] 方书敏,钱正堂,李远平.甘肃省降水的空间内插方法比较[J].干旱区资源与环境,2005,19(3):47-50.
[13] Husar R B,Falke S R.Uncertainty in the spatial interpolation of PM10 monitoring data in Southern California[EB/OL].http://capita.wustl.edu/CA PITA/CapitaReports/CaInterp/ CaINTERP.HTML,1997-03-03/1999-10-25.
[14] Fan Jianqing,Irène Gijbels.Local polynomial modelling and its applications[M].Chapman & Hall/CRC,2003:159-216.
[15] 周志刚,陈丽红.RBF神经网络及其在数值计算中的应用[J].复杂系统与复杂性科学,2006,2(3):64-68.
[16] 曾怀恩,黄声享.基于Kriging方法的空间数据插值研究[M].测绘工程,2007,16(5):5-13.

Similar References:

Memo

Last Update: 1900-01-01