Moso bamboo (Phyllostachys heterocycla (Carr.) Mitford cv. Pubescens) is an important timber substitute in China. Site specific stand management requires an accurate estimate of soil organic carbon (SOC) stock for maintaining stand productivity and understanding global carbon cycling. This study compared ordinary kriging (OK) and inverse distance weighting (IDW) approaches to study the spatial ...

Aim Species distribution maps are essential for assessing extinction risk and guiding conservation efforts. However, most come sourced as expert-drawn range with known issues of accuracy or developed overly complex modelling procedures. Thus, data-driven alternatives that accessible reliable a welcome addition to the spatial toolkit. Here, we geospatial workflow refine species from its extent o...

Laser scanning via LiDAR is a powerful technique for collecting data necessary Digital Terrain Model (DTM) generation, even in densely forested areas. observations located at the ground level can be separated from initial point cloud and used as input generation of interpolation. This paper proposes quantitative analysis accuracy DTMs (and derived slope maps) obtained focused on conditions comm...

In order to estimate rainfall magnitude at unmeasured locations, this entry to the Spatial Interpolation Comparison of 1997 (SIC'97) used 2-dimensional, anisotropic, inverse-distance weighting interpolator (IDW), with cross-validation as a method of optimizing the interpolator's parameters. A jackknife resampling was then used to reduce bias of the predictions and estimate their uncertainty. Th...

Accurate methods quantifying whole landfill surface flux of methane are important for regulatory and research purposes. This paper presents the results from the analysis of chamber measurements utilizing geospatial techniques [kriging and inverse distance weighting (IDW)] to arrive at an estimation of the whole landfill surface flux from the spatially distributed chamber measurement points. The...

Efficient soil management practices depend on the spatial distribution of soil properties which varies significantly even within the same field. Considering that it is impossible for any monitoring technique to provide spatially continuous data, spatial interpolation plays an indispensable role in estimating the missing values where no actual value was measured. The objective of this study was ...

Abstract Fine particulate matter (PM 2.5 ) is widely concerned for its harmful impacts on global environment and human health, making air pollution monitoring so crucial indispensable. As the world’s first open, real-time, historical quality platform, OpenAQ collects provides government measurement research-level data from various channels. However, despite OpenAQ’s innovation in providing us w...

The Multicriteria Decision Analysis (MCDA) and Geographical Information Systems (GIS) are used to provide more accurate decisions to the decision makers in order to evaluate the effective factors in the natural science. One of the popular algorithm of multicriteria analysis is Ordered Weighted Averaging (OWA). The OWA procedure depends on some parameters, which can be 15 specified by means of f...

It is challenging to perform spatial geochemical modelling due to the spatial heterogeneity features of geochemical variables. Meanwhile, high quality geochemical maps are needed for better environmental management. Soil organic C (SOC) distribution maps are required for improvements in soil management and for the estimation of C stocks at regional scales. This study investigates the use of a g...