An Entropy-based Method to Evaluate the Appropriate Spatial Resolution

Geospatial data is available at increasingly finer spatial resolutions. However, such data can also be problematic because it may result in increased financial, resource and time cost. It might also be unnecessary if the phenomenon of interest does not vary at this scale or if the scientific applica...

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Bibliographic Details
Published in:International archives of the photogrammetry, remote sensing and spatial information sciences. remote sensing and spatial information sciences., 2024-10, Vol.XLVIII-4-2024, p.227-232
Main Author: Hamm, Nicholas A. S.
Format: Article
Language:English
Subjects:
Air pollution
Archives & records
Datasets
Digital Elevation Models
Digital mapping
Entropy
Neighborhoods
Outdoor air quality
Particulate matter
Pollution maps
Spatial data
Spatial resolution
Urban areas
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Summary:Geospatial data is available at increasingly finer spatial resolutions. However, such data can also be problematic because it may result in increased financial, resource and time cost. It might also be unnecessary if the phenomenon of interest does not vary at this scale or if the scientific application does not require it. This paper explores the scale effects associated with increased spatial resolution using the entropy-based local indicator of spatial association (LISA-ELSA). Results are illustrated for two datasets a digital elevation model (30 m ASTER GDEM) and for a raster PM2.5 air pollution map (1000 m). It is shown that increasing the size of the local window for the LISA can be used to explore the effect of reducing the spatial resolution. It is possible to identify areas where the spatial association is invariant with increasing window size and which could be represented with coarser pixels.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVIII-4-2024-227-2024