An optimal spatial sampling design for intra-urban population exposure assessment

Determination of Optimal Sampling Design for Spatial Data Analysis

Extended Abstract. Inferences for spatial data are affected substantially by the spatial configuration of the network of sites where measurements are taken. Consider the following standard data-model framework for spatial data. Suppose a continuous, spatially-varying quantity, Z, is to be observed at a predetermined number, n, of points ....[ To Countinue Click here]

An Optimal Spatial Sampling Design for Social Surveys

Tabriz Intra-urban Spatial Disparities

To achieve sustainable urban development and values from social justice; it is essential that all citizens enjoy resources, facilities and life opportunities equally. Due to lack of a stable or systematic approach of measuring urban problems, disparity in environmental conditions or access to social and physical infrastructures is more obvious, especially in the cities of developing countries. ...

Sensitivity Analysis of Spatial Sampling Designs for Optimal Prediction

In spatial statistic, the data analyzed which is correlated and this correlation is due to their locations in the studied region. Such correlation that is related to distance between observations is called spatial correlation. Usually in spatial data analysis, the prediction of the amount of uncertain quantity in arbitrary 4locations of the area is considered according to attained observations ...

Spatial sampling design for sediment quality assessment in estuaries

Unusual difficulties are encountered when characterizing the spatial distribution of the properties that collectively define the state of estuaries. Due to the variability of these estuarine conditions, greater sampling efforts are often necessary to describe estuarine environments, as compared to other aquatic systems. That is why in coastal management studies, where the collection of data is ...