Abstract
Cartographic mashup is a powerful tool for users to visualize thematic data together with base maps, and it is increasingly popular due to the better availability of geodata. In current typical mashups, thematic data and base maps
come from different providers without any connection between the data sets, and their scales are not synchronized. In this paper, we firstly explore the problems in such mashups and the potential linkages between thematic data and base maps, then propose a novel methodology to establish explicit connections between thematic data and base maps, and finally propose how to utilize them to generalise thematic data. We mainly aim at conveying our idea in this working paper; that is the paper concentrates on the feasibility of our methodology, and no implementation is presented.
come from different providers without any connection between the data sets, and their scales are not synchronized. In this paper, we firstly explore the problems in such mashups and the potential linkages between thematic data and base maps, then propose a novel methodology to establish explicit connections between thematic data and base maps, and finally propose how to utilize them to generalise thematic data. We mainly aim at conveying our idea in this working paper; that is the paper concentrates on the feasibility of our methodology, and no implementation is presented.
| Original language | English |
|---|---|
| Title of host publication | 19th ICA Workshop on Generalization and Multiple Representation |
| Number of pages | 8 |
| Publication status | Published - 2016 |
| Event | AGILE workshop on “Automated generalisation for on-demand mapping" and 19th ICA Workshop on Generalisation and Multiple Representation, Helsinki, 2016” - Helsinki, Finland Duration: 2016 Jun 14 → 2016 Jun 14 |
Workshop
| Workshop | AGILE workshop on “Automated generalisation for on-demand mapping" and 19th ICA Workshop on Generalisation and Multiple Representation, Helsinki, 2016” |
|---|---|
| Country/Territory | Finland |
| City | Helsinki |
| Period | 2016/06/14 → 2016/06/14 |
Subject classification (UKÄ)
- Computer and Information Science
