BACKGROUND Geostatistical techniques that account for spatially varying population sizes and spatial patterns in the filtering of choropleth maps of cancer mortality were recently developed. Their implementation was facilitated by the initial assumption that all geographical units are the same size and shape, which allowed the use of geographic centroids in semivariogram estimation and kriging....

introduction: as the statistical time series are in short period and the meteorological station are not distributed well in mountainous area determining of climatic criteria are complex. therefore, in recent years interpolation methods for establishment of continuous climatic data have been considered. continuous daily maximum temperature data are a key factor for climate-crop modeling which is...

BACKGROUND The statistics of disease clustering is one of the most important tools for epidemiologists to detect and monitor public health disease patterns. Nowadays, tuberculosis (TB)--an infectious disease caused by the Mycobacterium tuberculosis--presents different (development in populations and antibiotics resistance) patterns and specialists are very concerned with it and its association ...

The modeling of spatio-temporal processes is crucial in many fields such as environmental science, hydrology, and water storage engineering. A basic concept the model an auto-covariance function. stream network based on Euclidean distance function for investigating river pollution will potentially face a serious accuracy problem, due to material or pollutant movement only occurring within trave...

The spatial heterogeneity on a regional scale of forest biomass is caused by multiple biotic and abiotic factors. However, the contributions factors to remain unclear. Based data National Forest Continuous Inventory (NFCI), digital elevation model (DEM), meteorological Guizhou Province in 2015, we studied aboveground province evaluated contribution rates its influencing using Moran’s I, semivar...

The spatial variation of soil test P (STP) in grassland soils is becoming important because of the use of STP as a basis for policies such as the recently EU-introduced Nitrate Directive. This research investigates the spatial variation of soil P in grazed grassland plots with a long-term (38 y) experiment. A total of 326 soil samples (including 14 samples from an adjacent grasswood buffer zone...

There is a lack of studies focusing on spatial variance chemical attributes in Amazonas, Brazil. The objective this study was to evaluate geo-statistics and sample density soils under sugarcane agroforestry, Humaitá, Amazon state, research carried out the municipality areas were meshes 70 m x regularly spaced by 10 m, with 64 points per area, then soil samples collected layers 0.0-0....