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Prediction of spatial attributes has attracted significant research interest in recent years. It is challenging especially when spatial data contain errors and missing values. Geostatistical estimators are used to predict the missing attribute values from the observed values of known surrounding data points, a general form of which is referred as kriging in the field of geographic information system...
Soil moisture is very important on many hydrological, biological and biogeochemical processes. To select the optimal method in this paper, five interpolation methods were compared, and then the optimal interpolation method was used to give the spatial distribution of soil moisture. The results show that (1) Ordinary kriging is the optimal method for interpolating soil moisture in Henan province. (2)...
Ecological Risk (ER) refers to the possibility of reduction for its partial health, productivity, economic value and aesthetic value when normal functions of whole landscape have been intimidated by external environment. Ecological risk assessment is a key measure of ecological environment management. Assessing the ecological risk at regional scale has practical significance in strengthening ecosystem...
We have benchmarked a novel knowledge-assisted kriging algorithm that allows regions of spatial cohesion to be specified and variograms calculated for each region. The variogram calculation itself is automated and spatial regions created via offline automated segmentation of either expert-drawn Google Earth polygons or NASA altitude data. Our use-case is to create interpolated wind maps for input...
Forest site evaluation is required by forestry production and is also the basis on which forest cultivation, management and planning, and forest yield prediction can be made. Thus, it is very important to develop new methods for quickly and accurately evaluate forest sites and estimate forest site indices with small samples of field data. Based on the existing forest inventory data, this paper demonstrated...
Based on the measured sample data, geostatistics and geographic information system were utilized to analyze the spatial variability of six soil nutrients variables of reclaimed wetland in Sanjiang Plain. All soil nutrients studied had spatial autocorrelation in some extent, and kriging could successfully interpolate these variables. Thus, the combined method could accurately evaluate the spatial variability...
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