Modeling Spatial Knowledge

Modelling of the spatial distribution of the rare plant Lilium ledebourii

The aim of this study was modelling the spatial distribution ofLilium ledebourii (Baker) Boiss. based on ecological characteristics, in order to predict potential habitats for conservation of a rare plant. Knowledge of the spatial distributions of rare and threatened species and the underlying ecological factors plays an important role in regional conservation assessments and development planni...

Comparing Deterministic and Geostatistical Methods in Spatial Distribution Study of Soil Physical and Chemical Properties in Arid Rangelands (Case Study: Masileh Plain, Qom, Iran)

Accurate knowledge of spatial distribution of soil physical and chemical properties is needed for suitable management and proper use of rangelands in Masileh plain, Qom, Iran. In present study, for the spatial modeling of chemical and physical parameters such as sodium (Na), calcium (Ca), soluble potassium (K), magnesium (Mg), Electrical Conductivity (EC), Saturation Percentage (SP%), silt, cla...

spatial modeling of summer precipitation in North-west of Iran

In the present study, the main aim was the spatial evaluation summer rainfall of northwest of Iran based on30 stations in northwest of Iran during 30 years of statistical period (1985-2014). An attempt, using geo-statistical modeling by ordinary least squares (OLS) and geographically weighted regression (GWR) procedures, was also made. The results represented that the GWR model with higher S2, ...

Design and Implementation of Integrated System for Urban Land Use Change Modeling

According to urban environment complexity and dynamism and need to targeted land use change, incorporation GIS and PSS in the form of Spatial Planning Support Systems is inevitable. The aim of this study is to develop a spatial planning support system for urban land uses change (ULCMS), such that planners can enter expert knowledge in the form of desired criteria and weights and see their influ...

Spatial Modeling of Censored Survival Data

An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even immeasurable. Spatial correlation of censored survival data is one of these sources that are rarely considered in the literatures. In this paper,...

Modeling Spatial Distribution of Intracellular Organelles by Molecular Motors