Abstract
In this paper we showcase a system for visualizing and predicting land-use data. The time series-based visualization application strives to improve science communication by facilitating the understanding of land-use change and is backed up by a machine learning-based land-use prediction application that imputes historic data and generates predictions of land use in the future. To present the project, we discuss the system's requirements which were developed by means of a User-Centered Engineering approach, elaborate on its current, early state of development and the corresponding results and finally discuss areas of potential improvement.
Original language | English |
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Title of host publication | Workshop on Visualisation in Environmental Sciences (EnvirVis) |
Editors | Soumya Dutta, Kathrin Feige, Karsten Rink, Dirk Zeckzer |
Publisher | The Eurographics Association |
Pages | 77-84 |
Number of pages | 8 |
ISBN (Electronic) | 9783038682233 |
DOIs | |
Publication status | Published - Jun 2023 |
Event | Workshop on Visualisation in Environmental Sciences (EnvirVis) 2023 - Leipzig, Germany Duration: 12 Jun 2023 → 16 Jun 2023 https://conferences.eg.org/eurovis2023/workshops/ |
Publication series
Name | EnvirVis: Workshop on Visualisation in Environmental Sciences |
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Conference
Conference | Workshop on Visualisation in Environmental Sciences (EnvirVis) 2023 |
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Country/Territory | Germany |
City | Leipzig |
Period | 12/06/23 → 16/06/23 |
Internet address |