The Architecture of 3D Administration

The objective of this article is to introduce the main blocks in building virtual front and back offices of public administration. Virtual administration is probably kind of an ultimate or top stage of ICT platforms of e-government. First a justification is given why 3D government fits in the recent EU directives of e-government development. The relevant scholarship contains a brief description of the visualized e-government, and then a fully illustrated, step by step survey reveals the itinerary to construct virtual government which is the main result of the study. The article concludes with a discussion on the practical benefit of such a research if there is one.

Changing visual value of deciduous species in the climate change

The article deals with the changing visual value of deciduous species. Due to climate change, the climatic patterns found on the plants’ growing area may change. Therefore, foliage of deciduous trees changes itscolor in the fall season witha different timing and intensity. This shift can modify the functional, ornamental and ecological value of these plants in the fall season, which is of special interest in the context of landscape design. However, this effect of climate change hasn’t been examined in terms of landscape architecture yet.In the article we are looking for deciduous species that can be appropriate subjectsforresearch, we are giving suggestions for choosing the right location for a future research and proposing available resources of satellite images, that can provide the basis for evaluation of leaf coloring. We also review already existing methods for calculating the degree of fall leaf coloring.We propose a novel method of satellite image processing to evaluate the coloring of a stand. Leaf Coloring Index (LCI) shows the leaf color’s relation to the color realms. LCI is appropriate for setting up a phenological model based onclimate data in a future research. Based on future climate models, the change of the examined stand’s visual value can be predicted. The results might affect the future use of plant species in landscape architecture.