On-demand mapping and integration of thematic data
Huang, Weiming LU ; Mansourian, A LU and Harrie, Lars LU
(2016)
AGILE workshop on “Automated generalisation for on-demand mapping" and 19th ICA Workshop on Generalisation and Multiple Representation, Helsinki, 2016”
- 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... (More) - 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/6105f32b-5b0d-442c-ad96-4d09796fca6e
- author
- Huang, Weiming
LU
; Mansourian, A
LU
and Harrie, Lars
LU
- organization
- publishing date
- 2016
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 19th ICA Workshop on Generalization and Multiple Representation
- pages
- 8 pages
- conference name
- AGILE workshop on “Automated generalisation for on-demand mapping" and 19th ICA Workshop on Generalisation and Multiple Representation, Helsinki, 2016”
- conference location
- Helsinki, Finland
- conference dates
- 2016-06-14 - 2016-06-14
- language
- English
- LU publication?
- yes
- id
- 6105f32b-5b0d-442c-ad96-4d09796fca6e
- alternative location
- https://kartographie.geo.tu-dresden.de/downloads/ica-gen/workshop2016/genemr2016_paper_02.pdf
- date added to LUP
- 2018-03-05 15:00:50
- date last changed
- 2023-09-06 10:59:01
@inproceedings{6105f32b-5b0d-442c-ad96-4d09796fca6e,
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<br/>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.}},
author = {{Huang, Weiming and Mansourian, A and Harrie, Lars}},
booktitle = {{19th ICA Workshop on Generalization and Multiple Representation}},
language = {{eng}},
title = {{On-demand mapping and integration of thematic data}},
url = {{https://kartographie.geo.tu-dresden.de/downloads/ica-gen/workshop2016/genemr2016_paper_02.pdf}},
year = {{2016}},
}