Articles | Volume 2
https://doi.org/10.5194/ica-proc-2-114-2019
https://doi.org/10.5194/ica-proc-2-114-2019
10 Jul 2019
 | 10 Jul 2019

Conceptual framework for enhancing visual change point analysis in generalized multi-temporal displays

Jochen Schiewe

Related authors

Interactive web-based Geospatial eXplainable Artificial Intelligence for AI model output exploration
Qasem Safariallahkheili, Jochen Schiewe, and Sebastian Meier
AGILE GIScience Ser., 6, 44, https://doi.org/10.5194/agile-giss-6-44-2025,https://doi.org/10.5194/agile-giss-6-44-2025, 2025
Perceiving Dark Mode Colour Schemes in Choropleth Maps
Jochen Schiewe
Abstr. Int. Cartogr. Assoc., 7, 144, https://doi.org/10.5194/ica-abs-7-144-2024,https://doi.org/10.5194/ica-abs-7-144-2024, 2024
Evaluation of the Encoding of Quantitative Data in Multitemporal Maps Based on Spatial Unit Sizes
Jochen Schiewe and Johannes Wolf
Abstr. Int. Cartogr. Assoc., 7, 145, https://doi.org/10.5194/ica-abs-7-145-2024,https://doi.org/10.5194/ica-abs-7-145-2024, 2024
Map Evaluation under COVID-19 restrictions: A new visual approach based on think aloud interviews
Martin Knura and Jochen Schiewe
Proc. Int. Cartogr. Assoc., 4, 60, https://doi.org/10.5194/ica-proc-4-60-2021,https://doi.org/10.5194/ica-proc-4-60-2021, 2021
Content-based Image Retrieval for Map Georeferencing
Jonas Luft and Jochen Schiewe
Proc. Int. Cartogr. Assoc., 4, 69, https://doi.org/10.5194/ica-proc-4-69-2021,https://doi.org/10.5194/ica-proc-4-69-2021, 2021
Download
Share