Spatial Transmission Models: A Taxonomy and Framework
نویسندگان
چکیده
منابع مشابه
a framework for identifying and prioritizing factors affecting customers’ online shopping behavior in iran
the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...
15 صفحه اولA unified simulation framework for spatial stochastic models
For spatial stochastic models, a lot of programs exist which deal with the simulation of specific models. But, combining them is not that easy and usually requires greater effort. This paper presents an object-oriented framework, i.e. a set of collaborating abstract and concrete classes, dealing with the simulation of such models. The selected fundamental models are only illustrating examples f...
متن کاملTowards a unified framework for spatial data models
This paper describes a unified framework for the problems of modelling and processing spatial entities. We propose a general definition of spatial objects, and show that the different types of spatial data can be expressed as particular cases of this definition. Furthermore, we present a taxonomy for the various types of GIS operations, defined in terms of the properties of this definition. Our...
متن کاملA Product-Oriented Power Taxonomy Framework
Power of partners in supply chain is an essential concept in collaboration, which can influence the decisions and behaviours of the focal company. Therefore, any company has to have a good understanding on the power of partners in order to determine the possible opportunities or threats in a potential collaboration. In this paper we present a product-oriented power taxonomy obtained from the an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Risk Analysis
سال: 2018
ISSN: 0272-4332
DOI: 10.1111/risa.13142