The Choose of Altitude Interpolation Appropriate Methods at Hills Landform Area:Taking the Jingyuetan Area of Changchun as An Example
Long Fei1(),Qiuyan Tian2
1.College of Urban and Environment Sciences, Changchun Normal University, Changchun 130032, Jilin, China 2. Department of Electronic Engineering, Armor Technique Institute of Chinese People’s Liberation Army, Changchun 130017, Jilin, China
The suitable method used to realize spatial interpolation of different landforms is different. Elevation of Changchun Jingyuetan area is the research object, this area is typical hilly and gully region,we interpolated elevation with inverse distance weighting, nearest neighbor,trend interpolation and Kriging on ArcGIS9.2. We obtained the accuracy of elevation of inverse distance weighting method, nearest neighbor, trend surface method, spline function and Kriging with Cross Validation, the conclusion is the nearest neighbor is the most accurate, followed Kriging, spline function, elevation of inverse distance weighting method, trend surface method. This research provide reference of selection for interpolation of the elevation data such as Jingyuetan area of hill landform.
. 丘陵地貌区高程内插适宜方法选择——以长春净月潭为例[J]. 地理科学,
2016, 36(4): 597-602.
. The Choose of Altitude Interpolation Appropriate Methods at Hills Landform Area:Taking the Jingyuetan Area of Changchun as An Example[J]. SCIENTIA GEOGRAPHICA SINICA,
2016, 36(4): 597-602.
ZhuQ, Lin HS.Comparing ordinary kriging and regression kriging for Soil properties in contrasting landscapes[J]. , 2010, 20(5): 594-606.
<h2 class="secHeading" id="section_abstract">Abstract</h2><p id="">The accuracy between ordinary kriging and regression kriging was compared based on the combined consideration of sample size, spatial structure, and auxiliary variables (terrain indices and electromagnetic induction surveys) for a variety of soil properties in two contrasting landscapes (agricultural <em>vs</em>. forested). When spatial structure could not be well captured by point-based observations (<em>e.g.</em>, when the ratio of sample spacing over correlation range was > 0.5), or when a strong relationship existed between target soil properties and auxiliary variables (<em>e.g.</em>, their <em>R</em><sup>2</sup> was > 0.6), regression kriging (RK) was more accurate for interpolating soil properties in both landscapes studied. Otherwise, ordinary kriging (OK) was better. Soil depth and wetness condition did not appear to affect the selection of kriging for soil moisture interpolation, because they did not significantly change the ratio of sample spacing over correlation range and the relationship with the auxiliary variables. Because of a smaller ratio of elevation change over total study area (<em>E/A</em> = 1.2) and multiple parent materials in the agricultural land, OK was generally more accurate in that landscape. In contrast, a larger <em>E/A</em> ratio of 6.8 and a single parent material led to RK being preferable in the steep-sloped forested catchment. The results from this study can be useful for selecting kriging for various soil properties and landscapes.</p>
WangZhang, ZhangJixian, LiHaitao.Component-adaptive up-sampling for inter layer interpolation in scalable video coding[J]. , 2009, 52(4): 704-711.http://www.cnki.com.cn/Article/CJFDTotal-JFXG200904015.htm
Scalable video coding (SVC) is a newly emerging standard to be finalized as an extension of H.264/AVC. The most attractive characters in SVC are the inter layer prediction techniques,such as Intra BL mode. But in current SVC scheme,a uniform up-sampling filter (UUSF) is employed to magnify all components of an image,which will be very inefficient and result in a lot of redundant computational complexity. To overcome this,we propose an efficient component-adaptive up-sampling filter (CAUSF) for inter layer interpolation. In CAUSF,one character of human vision system is considered,and different up-sampling filters are assigned to different components. In particular,the six-tap FIR filter used in UUSF is kept and assigned for luminance component. But for chrominance components,a new four-tap FIR filter is used. Experimental results show that CAUSF maintains the performances of coded bitrate and PSNR-Y without any noticeable loss,and provides significant reduction in computational complexity.
ZhaoNa, Yue TX, Zhao Mingwei et al. Sensitivity studies of a high accuracy surface modeling method[J]. , 2014, 57(10): 2386-2396./s?wd=paperuri%3A%280a79635affccf208d9c46b6a074ec86d%29&filter=sc_long_sign&sc_ks_para=q%3DSensitivity%20studies%20of%20a%20high%20accuracy%20surface%20modeling%20method&sc_us=18302263522165709332&tn=SE_baiduxueshu_c1gjeupa&ie=utf-8
Deliang Chen TO, QianWeihong. Spatial interpolation of daily precipitationin China:1951-2005[J]. , 2010, 27(6): 1221-1232.
Climate research relies heavily on good qualityinstrumental data; for modeling efforts gridded data are needed. Sofar, relatively little effort has been made to create griddedclimate data for China. This is especially true for high-resolutiondaily data. This work, focuses on identifying an accurate method toproduce gridded daily precipitation in China based on the observeddata at 753 stations for the period 1951--2005. Five interpolationmethods, including ordinary nearest neighbor, local polynomial,radial basis function, inverse distance weighting, and ordinarykriging, have been used and compared. Cross-validation shows thatthe ordinary kriging based on seasonal semi-variograms gives thebest performance, closely followed by the inverse distance weightingwith a power of 2. Finally the ordinary kriging is chosen tointerpolate the station data to a 18 km×18 km grid systemcovering the whole country. Precipitation for each 0.5o×0.5o latitude-longitude block is then obtained by averagingthe values at the grid nodes within the block. Owing to the higherstation density in the eastern part of the country, theinterpolation errors are much smaller than those in the west (westof 100oE). Excluding 145 stations in the western region, thedaily, monthly, and annual relative mean absolute errors of theinterpolation for the remaining 608 stations are 74%, 29%, and16%, respectively. The interpolated daily precipitation has beenmade available on the internet for the scientific community.
LongxiangLi,JianhuaGong,JiepingZhou.Spatial interpolation of fine particulate matter concentrations using the shortest wind-field path distance[J].,2014,9(5):1-10.http://med.wanfangdata.com.cn/Paper/Detail/PeriodicalPaper_PM24798197
Abstract Effective assessments of air-pollution exposure depend on the ability to accurately predict pollutant concentrations at unmonitored locations, which can be achieved through spatial interpolation. However, most interpolation approaches currently in use are based on the Euclidean distance, which cannot account for the complex nonlinear features displayed by air-pollution distributions in the wind-field. In this study, an interpolation method based on the shortest path distance is developed to characterize the impact of complex urban wind-field on the distribution of the particulate matter concentration. In this method, the wind-field is incorporated by first interpolating the observed wind-field from a meteorological-station network, then using this continuous wind-field to construct a cost surface based on Gaussian dispersion model and calculating the shortest wind-field path distances between locations, and finally replacing the Euclidean distances typically used in Inverse Distance Weighting (IDW) with the shortest wind-field path distances. This proposed methodology is used to generate daily and hourly estimation surfaces for the particulate matter concentration in the urban area of Beijing in May 2013. This study demonstrates that wind-fields can be incorporated into an interpolation framework using the shortest wind-field path distance, which leads to a remarkable improvement in both the prediction accuracy and the visual reproduction of the wind-flow effect, both of which are of great importance for the assessment of the effects of pollutants on human health.
[LiRenjie, GuFeng, Guo Fenghua et al. Cultural landscape perception degree model and perception function division based on DEM of traffic line:a case study of zijingguan Great Wall. , 2015, 35(9): 1086-1094.]
张靖. GIS空间内插方法与应用研究[D]. , 2008 .
[ZhangJing.GIS space interpolation method and application research. , 2008
基于Matlab平台,开发了面向大范围降水空间插值的普通克里金模型—Matlab based ordinary Kriging（MatOK）.与已有模型相比,MatOK的主要特点是：（1）在降水空间变异函数计算环节,采用SCE-UA算法拟合理论变异函数;（2）在OK方程组估值环节,引入降水空间发生概率的计算,完善了日等短时间尺度降水空间估值方法;（3）通过对OK方程组的标准化处理,有效提高了模型数值计算的稳定性.同时,将MatOK初步应用于集水面积为83374km2的赣江流域年、月、日降水空间插值中,并重点讨论了MatOK的计算稳定性和计算效率,结果初步说明了采用MatOK进行大范围区域降水空间插值是可行的.