This PhD research proposal focuses on vario-scale geo-information. Vario-scale is a new approach for creating maps o_ering an infinitely number of scales, minimum redundancy and a data structure for progressive transfer. A lot of knowledge has to be implemented in the generalization process to populate good quality vario-scale data. I will try to make a paradigm shift towards dynamic vario-scale geo-information. Some of the research topics are motivated by discussion with the Users Committee of the Technology Foundation STW. The PhD research will be conducted as follows. Firstly of all, the motivation for this research and an overview of state-of-the-art technologies are presented. Secondly, the whole principle of vario-scale, the current s...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
In Chapter 3 the focus was on vario-scale data structure description. This was extended in Chapter 4...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
This PhD research proposal focuses on vario-scale geo-information. Vario-scale is a new approach for...
The use of geo-information is changing by the advent of new mobile devices, such as tablet-pc's that...
Vario-scale is a new mapping technique which automatically generalizes maps from a baselayer of face...
The previous chapter presents state-of-the-art in map generalization at NMAs’ and continuous general...
This thesis has researched further design and development of a system for vario-scale maps. Section ...
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equ...
The previous chapters covered the research where the vario-scale structure has been introduced. The ...
Today, current practice is to store digital geographic data sets at multiple scales with mul-tiple r...
a b s t r a c t This paper analyses the difficulty in fulfilling the user requirements related to ge...
The vario-scale concept has proved an alternative for the well known discrete multi-scale solution. ...
The results of BGS geological survey are mostly recorded OIl 1:10000 scale maps, and published at 1:...
Scale has long been a fundamental concept in geography. Its importance is emphasised in geographical...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
In Chapter 3 the focus was on vario-scale data structure description. This was extended in Chapter 4...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
This PhD research proposal focuses on vario-scale geo-information. Vario-scale is a new approach for...
The use of geo-information is changing by the advent of new mobile devices, such as tablet-pc's that...
Vario-scale is a new mapping technique which automatically generalizes maps from a baselayer of face...
The previous chapter presents state-of-the-art in map generalization at NMAs’ and continuous general...
This thesis has researched further design and development of a system for vario-scale maps. Section ...
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equ...
The previous chapters covered the research where the vario-scale structure has been introduced. The ...
Today, current practice is to store digital geographic data sets at multiple scales with mul-tiple r...
a b s t r a c t This paper analyses the difficulty in fulfilling the user requirements related to ge...
The vario-scale concept has proved an alternative for the well known discrete multi-scale solution. ...
The results of BGS geological survey are mostly recorded OIl 1:10000 scale maps, and published at 1:...
Scale has long been a fundamental concept in geography. Its importance is emphasised in geographical...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...
In Chapter 3 the focus was on vario-scale data structure description. This was extended in Chapter 4...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...