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 (...

The interrelationships among spatial distribution in the red, green, and blue channels of texture images of differently woven textile fabrics are investigated. A computational model for color mapping is developed based on the channel proportionality found in the investigation. The computational model developed has two modes: gray-to-color mapping (GCM) and color-to-color mapping (CCM) that deal...

Epilepsy mapping with high spatial and temporal resolution has great significance for both fundamental research on epileptic neurons and the clinical management of epilepsy. In this communication, we demonstrate for the first time in vivo epilepsy mapping with high spatial and temporal resolution and dual optical contrasts in an animal model. Through the variations of a depthresolved optical co...

A new sub-pixel mapping strategy inspired by the clonal selection theory in artificial immune systems (AIS), namely, the clonal selection sub-pixel mapping (CSSM) framework, is proposed for the sub-pixel mapping of remote sensing imagery, to provide detailed information on the spatial distribution of land cover within a mixed pixel. In CSSM, the sub-pixel mapping problem becomes one of assignin...