Kernel DM+V, one of the most common and well studied algorithms for gas distribution mapping, relies crucially on a set of parameters. These parameters are often estimated using cross-validation (CV), which is computationally expensive and therefore has to be carried out offline. Here we propose an efficient method for parameter selection, based on Virtual LeaveOne-Out Cross Validation (VLOOCV)...

Distribution-mapping exponent (DME) that is something like effective dimensionality of multidimensional space is introduced. The method for classification of multivariate data is based on local estimate of distribution mapping exponent for each point. Distances of all points of a given class of the training set from a given (unknown) point are searched and it is shown that the sum of reciprocal...

Livestock contributes directly to the livelihoods and food security of almost a billion people and affects the diet and health of many more. With estimated standing populations of 1.43 billion cattle, 1.87 billion sheep and goats, 0.98 billion pigs, and 19.60 billion chickens, reliable and accessible information on the distribution and abundance of livestock is needed for a many reasons. These ...

OBJECTIVE We aimed to summarize and map the existing global population-based data on active trachoma and trichiasis. Detailed distribution maps of various infectious diseases have proved a valuable tool in their control. Such maps play an important role in assessing the magnitude of the problem, defining priority areas for control, monitoring changes, and advocacy. Until now, information on tra...

In this paper we consider the problem of creating a spatial representation of a gas distribution in an environment using a mobile robot equipped with gas sensors. The gas distribution mapping method used models the information content of a given measurement about the average concentration distribution with respect to the point of measurement. In this paper, we present an extension which can con...

Mariculture (marine and brackish water aquaculture) has grown rapidly over the past 20 years, yet publicly-available information on location of mariculture production is sparse. Identifying where occurs remains a major challenge for understanding its environmental impacts sustainability individual farms sector as whole. We compiled known locations applied simple production-allocation approach t...

Abstract This study aims to assess the urban air quality, and map NO 2 , SO PM 10 profiles using two widely spatial interpolation methods, ordinary kriging (OK) inverse distance weighting (IDW) by estimating their concentrations at distinct non-monitored locations. Assessment mapping of pollutants in this help with policy formulation decision-making. Kota, industrial educational hub Rajasthan (...