Spatial interpolation: an overview

Spatial interpolation: an overview

The interpolation of spatial data has been considered in many different forms. The various forms of kriging are among the best known in the earth sciences although techniques such as inverse distance weighting were and are in use for spatially located data. In the numerical analysis literature various forms of splines and more recently radial basis functions have been developed and used. Becaus...

An Object-oriented Framework for Spatial Interpolation

Interpolation is an important operator in numerical methods for solving partial differential equations and in geospatial applications. There are many interpolation methods proposed in the past. In this work, a unified software framework is proposed through the use of design-patterns in object-oriented programming. By using this framework, little effort is necessary to implement different interp...

An Overview on the Applications of Spatial Analyses in the Management and Allocation of Hemodialysis Services

Introduction: The prevalence of Chronic Kidney Disease (CKD) reached about 13.4% in 2016. Among available treatment methods, hemodialysis is the most common way used for the treatment of patients with End-Stage Renal Disease (ESRD), the last stage of CKD. On average, these patients refer to hemodialysis centers three times a week. The high patients referral rate indicates the importance of prop...

An Overview on the Applications of Spatial Analyses in the Management and Allocation of Hemodialysis Services

Introduction: The prevalence of Chronic Kidney Disease (CKD) reached about 13.4% in 2016. Among available treatment methods, hemodialysis is the most common way used for the treatment of patients with End-Stage Renal Disease (ESRD), the last stage of CKD. On average, these patients refer to hemodialysis centers three times a week. The high patients referral rate indicates the importance of prop...

Qualitative Spatial Representation and Reasoning: An Overview