Optimal spatial design for air quality measurement surveys

Optimal spatial design for air quality measurement surveys

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An Optimal Spatial Sampling Design for Social Surveys

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]

Indoor Air Quality Measurement

A qualitative assessment of indoors air quality is presented, by the use of an electronic nose consisting of a gas sensor array, a data acquisition system and a pattern recognition system. The gas sensors are sensitive to gases polluting the indoors air but they are sensitive to indoors temperature and humidity as well. The data acquisition system overtakes the sensors specific response and out...

Optimal Estimators for Ambient Air Quality Levels

-Procedures to estimate missing data, determine extrema, and derive uncertainties for data collected in ambient air monitoring networks are presented. The optimal linear estimators used obtain unbiased, minimum variance results based on the temporal and spatial correlation of the data and estimates of sample uncertainty. The first estimator interpolates missing data. The second estimator derive...