Mapping Dependence

Assessment of Neonate's Congenital Hypothyroidism Pattern Using Poisson Spatio-temporal Model in Disease Mapping under the Bayesian Paradigm during 2011-18 in Guilan, Iran

Background: Congenital Hypothyroidism (CH) is one of the reasons for mental retardation and defective growth in neonates. It can be treated if it is diagnosed early. The congenital hypothyroidism can be diagnosed using newborn screening in the first days after birth. Disease mapping helps to identify high-risk areas of the disease. This study aimed to evaluate the pattern of CH using the Poisso...

Application of geostatistical methods for mapping groundwater phosphate construction in Eyvan plain, Ilam Province, Iran

The purpose of this study was to evaluate the spatial changes of groundwater phosphate concentrations using geostatistical methods based on data from 10 groundwater wells. One of the conventional tools in decision making on the groundwater management is geostatistical method. To evaluate the spatial changes of phosphate concentrations in groundwater, the universal kriging method with cross-vali...

Mapping Natural Resources Vulnerability to Droughts Using Multi-Criteria Decision Making and GIS (Case Study: Kashkan Basin Lorestan Province, Iran)

Zagros Mountains in west of Iran are covered by unique forests and rangelands. Increasing population, low level of development and high dependence of local people on natural resources for primary livelihood needs resulted in degradation of Zagros forests and rangelands. Along with these factors, since the last decade, climate change including severe drought is an important issue in the world, p...

Finding Space-Optimal Linear Array for Uniform Dependence Algorithms with Arbitrary Convex Index Sets

The mapping of an n-dimensional uniform dependence algorithm onto a linear processor array can be considered as a linear transformation problem. However, to find a linear space-optimal transformation is difficult because the conditions for checking a correct mapping and the space cost function do not have closed-form expressions, especially when the index set J of an n-dimensional algorithm is ...

Improving the solar zenith angle dependence of broadband UV radiometers calibration

Adaptive Multi-objective Sub-pixel Mapping Framework Based on Memetic Algorithm for Hyperspectral Remote Sensing Imagery

Sub-pixel mapping technique can specify the location of each class within the pixels based on the assumption of spatial dependence. Traditional sub-pixel mapping algorithms only consider the spatial dependence at the pixel level. The spatial dependence of each sub-pixel is ignored and sub-pixel spatial relation is lost. In this paper, a novel multi-objective sub-pixel mapping framework based on...