Vario-scale is a new mapping technique which automatically generalizes maps from a baselayer of faces. Applications of vario-scale are continuous, smooth zoom in web maps,multi-scale representation in one map and being able to generate maps at arbitrary scale. Also,this would only require having to maintain the dataset at the highest scale level, since all otherscales are derived from it.Potentially, vario-scale could be an alternative for current web maps and generalizationalgorithms. The Dutch national mapping agency, Kadaster, currently employs its owngeneralization process. However, they would like to know whether the users of theirtopographic datasets are interested in vario-scale. At this moment, there is a workingimplementation of va...
Today, current practice is to store digital geographic data sets at multiple scales with mul-tiple r...
This paper reports about the feasibility study carried out by the Dutch Kadaster to automatically ge...
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...
This PhD research proposal focuses on vario-scale geo-information. Vario-scale is a new approach for...
The previous chapters covered the research where the vario-scale structure has been introduced. The ...
This thesis has researched further design and development of a system for vario-scale maps. Section ...
The previous chapter presents state-of-the-art in map generalization at NMAs’ and continuous general...
The Dutch Kadaster is responsible for the acquisition and maintenance of topographical data and visu...
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equ...
The aim of this paper is to examine the variable-scale method of presenting geodata for personal nav...
The multi-scale base map compiled from the official 1:10 000 framework data is served as the backgro...
The use of geo-information is changing by the advent of new mobile devices, such as tablet-pc's that...
The classical approach for road network generalization consists of producing multiple maps, for a di...
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equ...
Today, current practice is to store digital geographic data sets at multiple scales with mul-tiple r...
This paper reports about the feasibility study carried out by the Dutch Kadaster to automatically ge...
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...
This PhD research proposal focuses on vario-scale geo-information. Vario-scale is a new approach for...
The previous chapters covered the research where the vario-scale structure has been introduced. The ...
This thesis has researched further design and development of a system for vario-scale maps. Section ...
The previous chapter presents state-of-the-art in map generalization at NMAs’ and continuous general...
The Dutch Kadaster is responsible for the acquisition and maintenance of topographical data and visu...
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equ...
The aim of this paper is to examine the variable-scale method of presenting geodata for personal nav...
The multi-scale base map compiled from the official 1:10 000 framework data is served as the backgro...
The use of geo-information is changing by the advent of new mobile devices, such as tablet-pc's that...
The classical approach for road network generalization consists of producing multiple maps, for a di...
Traditionally, the content for vario-scale maps has been created using a ‘one fits all’ approach equ...
Today, current practice is to store digital geographic data sets at multiple scales with mul-tiple r...
This paper reports about the feasibility study carried out by the Dutch Kadaster to automatically ge...
Processing massive datasets which are not fitting in the main memory of computer is challenging. Thi...