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Documents authored by Sila-Nowicka, Katarzyna

Document
Complete Volume
DOI: 10.4230/LIPIcs.GIScience.2025
LIPIcs, Volume 346, GIScience 2025, Complete Volume

Authors: Katarzyna Sila-Nowicka, Antoni Moore, David O'Sullivan, Benjamin Adams, and Mark Gahegan

Published in: LIPIcs, Volume 346, 13th International Conference on Geographic Information Science (GIScience 2025)

Abstract
LIPIcs, Volume 346, GIScience 2025, Complete Volume
Cite as

13th International Conference on Geographic Information Science (GIScience 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 346, pp. 1-296, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Proceedings{silanowicka_et_al:LIPIcs.GIScience.2025,
  title =	{{LIPIcs, Volume 346, GIScience 2025, Complete Volume}},
  booktitle =	{13th International Conference on Geographic Information Science (GIScience 2025)},
  pages =	{1--296},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-378-2},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{346},
  editor =	{Sila-Nowicka, Katarzyna and Moore, Antoni and O'Sullivan, David and Adams, Benjamin and Gahegan, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2025},
  URN =		{urn:nbn:de:0030-drops-244423},
  doi =		{10.4230/LIPIcs.GIScience.2025},
  annote =	{Keywords: LIPIcs, Volume 346, GIScience 2025, Complete Volume}
}
Document
Front Matter
DOI: 10.4230/LIPIcs.GIScience.2025.0
Front Matter, Table of Contents, Preface, Conference Organization

Authors: Katarzyna Sila-Nowicka, Antoni Moore, David O'Sullivan, Benjamin Adams, and Mark Gahegan

Published in: LIPIcs, Volume 346, 13th International Conference on Geographic Information Science (GIScience 2025)

Abstract
Front Matter, Table of Contents, Preface, Conference Organization
Cite as

13th International Conference on Geographic Information Science (GIScience 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 346, pp. 0:i-0:xvi, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{silanowicka_et_al:LIPIcs.GIScience.2025.0,
  author =	{Sila-Nowicka, Katarzyna and Moore, Antoni and O'Sullivan, David and Adams, Benjamin and Gahegan, Mark},
  title =	{{Front Matter, Table of Contents, Preface, Conference Organization}},
  booktitle =	{13th International Conference on Geographic Information Science (GIScience 2025)},
  pages =	{0:i--0:xvi},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-378-2},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{346},
  editor =	{Sila-Nowicka, Katarzyna and Moore, Antoni and O'Sullivan, David and Adams, Benjamin and Gahegan, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2025.0},
  URN =		{urn:nbn:de:0030-drops-244351},
  doi =		{10.4230/LIPIcs.GIScience.2025.0},
  annote =	{Keywords: Front Matter, Table of Contents, Preface, Conference Organization}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.COSIT.2022.17
A Weather-Aware Framework for Population Mobility Modelling (Short Paper)

Authors: Vanessa Brum-Bastos, Kamil Smolak, Witold Rohm, and Katarzyna Sila-Nowicka

Published in: LIPIcs, Volume 240, 15th International Conference on Spatial Information Theory (COSIT 2022)

Abstract
The widespread availability of GPS-enabled mobile devices has contributed towards an unprecedented volume of data on human movement. Human mobility data are the key input for developing accurate mobility models that can support decision-making in, for example, urban planning, transportation planning and disease spread. However, the increasing geoprivacy concerns have been limiting the use of and access to such data. For this reason, the WHO-WHERE-WHEN (3W) model, a privacy-protective model for generating synthetic mobility data, has been developed. However, human mobility is affected by multiple factors that must be accounted for to produce synthetic mobility trajectories that accurately simulate the fluctuations of population in a study area. The 3W model already considers four main factors affecting human mobility: size and shape of activity spaces, circadian rhythm, and home and work locations. Yet, meteorological factors are known to affect human mobility patterns but, to our knowledge, there is not a model that accounts for weather conditions. In this paper, we propose a theoretical framework to extend the 3W model to a 4W model: WHO-WHERE-WHEN-WEATHER. We hypothesise that accounting for weather conditions in human mobility predictions will increase the overall accuracy of predicted mobility patterns.
Cite as

Vanessa Brum-Bastos, Kamil Smolak, Witold Rohm, and Katarzyna Sila-Nowicka. A Weather-Aware Framework for Population Mobility Modelling (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 17:1-17:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{brumbastos_et_al:LIPIcs.COSIT.2022.17,
  author =	{Brum-Bastos, Vanessa and Smolak, Kamil and Rohm, Witold and Sila-Nowicka, Katarzyna},
  title =	{{A Weather-Aware Framework for Population Mobility Modelling}},
  booktitle =	{15th International Conference on Spatial Information Theory (COSIT 2022)},
  pages =	{17:1--17:9},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-257-0},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{240},
  editor =	{Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.17},
  URN =		{urn:nbn:de:0030-drops-169020},
  doi =		{10.4230/LIPIcs.COSIT.2022.17},
  annote =	{Keywords: movement analytics, human movement, mobility models, context-awareness}
}
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