<b>Evaluating the usefulness</b> of interpolation methods in constructing isopleth maps

Abstract In this study, we evaluated the usefulness of six interpolation methods selected to model statistical surfaces using forest cover and population density. The three criteria of consistency of the mapped range of data values, preservation of the volume of the phenomenon, and visual perception of the maps by users were used. The first two criteria were verified experimentally, and the third by interviewing a group of advanced map users. The study results represent a compromise between the mathematical correctness of the maps and their graphical properties. Therefore, they indicate that the optimal interpolation is linear interpolation followed by natural neighbourhood and IDW. This was investigated by interviewing a group of advanced map users, who preferred linear interpolation followed by natural neighbour and IDW maps and their graphical properties.

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Publication Details

Journal
Miscellanea Geographica
Published
2025-04-01
DOI
https://doi.org/10.2478/mgrsd-2025-0014
Citations
1
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
1.01
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article

Evaluating the usefulness of interpolation methods in constructing isopleth maps

Paweł Cebrykow
1 citations
Miscellanea Geographica
3D Modeling in Geospatial Applications
1.01
article

Evaluating the usefulness of interpolation methods in constructing isopleth maps

Paweł Cebrykow
article en
1 citations

Abstract

Abstract In this study, we evaluated the usefulness of six interpolation methods selected to model statistical surfaces using forest cover and population density. The three criteria of consistency of the mapped range of data values, preservation of the volume of the phenomenon, and visual perception of the maps by users were used. The first two criteria were verified experimentally, and the third by interviewing a group of advanced map users. The study results represent a compromise between the mathematical correctness of the maps and their graphical properties. Therefore, they indicate that the optimal interpolation is linear interpolation followed by natural neighbourhood and IDW. This was investigated by interviewing a group of advanced map users, who preferred linear interpolation followed by natural neighbour and IDW maps and their graphical properties.

Miscellanea GeographicaVol. 29(2)
Maria Curie-Skłodowska University (PL)
Openalex Percentile: Top 24%
3D Modeling in Geospatial Applications
1.01
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