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Documents authored by Jankowski, Piotr

Document
Short Paper
DOI: 10.4230/LIPIcs.GIScience.2023.42
An Integrated Uncertainty and Sensitivity Analysis for Spatial Multicriteria Models (Short Paper)

Authors: Piotr Jankowski, Arika Ligmann-Zielińska, Zbigniew Zwoliński, and Alicja Najwer

Published in: LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023)

Abstract
This paper introduces an integrated Uncertainty and Sensitivity Analysis (US-A) approach for Spatial Multicriteria Models (SMM). The US-A approach evaluates uncertainty and sensitivity by considering both criteria values and weights, providing spatially distributed measures. A geodiversity assessment case study demonstrates the application of US-A, identifying influential inputs driving uncertainty in specific areas. The results highlight the importance of considering both criteria values and weights in analyzing model uncertainty. The paper contributes to the literature on spatially-explicit uncertainty and sensitivity analysis by providing a method for analyzing both categories of SMM inputs: evaluation criteria values and weights, and by presenting a novel form of visualizing their sensitivity measures with bivariate maps.
Cite as

Piotr Jankowski, Arika Ligmann-Zielińska, Zbigniew Zwoliński, and Alicja Najwer. An Integrated Uncertainty and Sensitivity Analysis for Spatial Multicriteria Models (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 42:1-42:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{jankowski_et_al:LIPIcs.GIScience.2023.42,
  author =	{Jankowski, Piotr and Ligmann-Zieli\'{n}ska, Arika and Zwoli\'{n}ski, Zbigniew and Najwer, Alicja},
  title =	{{An Integrated Uncertainty and Sensitivity Analysis for Spatial Multicriteria Models}},
  booktitle =	{12th International Conference on Geographic Information Science (GIScience 2023)},
  pages =	{42:1--42:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-288-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{277},
  editor =	{Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.42},
  URN =		{urn:nbn:de:0030-drops-189375},
  doi =		{10.4230/LIPIcs.GIScience.2023.42},
  annote =	{Keywords: model uncertainty, input factor sensitivity, geodiversity, spatial multicriteria models}
}
Document
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.57
Who Masks? Correlates of Individual Location-Masking Behavior in an Online Survey (Short Paper)

Authors: Dara E. Seidl and Piotr Jankowski

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
Geomasking traditionally refers to a set of techniques employed by a data steward to protect the privacy of data subjects by altering geographic coordinates. Data subjects themselves may make efforts to obfuscate their location data and protect their geoprivacy. Among these individual-level strategies are providing incorrect address data, limiting the precision of address data, or map-based location masking. This study examines the prevalence of these three location-masking behaviors in an online survey of California residents, finding that such behavior takes place across social groups. There are no significant differences across income level, education, ethnicity, sex, and urban locations. Instead, the primary differences are linked to intervening variables of knowledge and attitudes about location privacy.
Cite as

Dara E. Seidl and Piotr Jankowski. Who Masks? Correlates of Individual Location-Masking Behavior in an Online Survey (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 57:1-57:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{seidl_et_al:LIPIcs.GISCIENCE.2018.57,
  author =	{Seidl, Dara E. and Jankowski, Piotr},
  title =	{{Who Masks? Correlates of Individual Location-Masking Behavior in an Online Survey}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{57:1--57:6},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.57},
  URN =		{urn:nbn:de:0030-drops-93850},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.57},
  annote =	{Keywords: privacy, geoprivacy, geomasking, obfuscation, accuracy}
}
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