Abstract
Landscape entropy can be calculated using Shannon’s formula. Focusing on multicolored square maps, it is shown how and why the spatial information of their square cells relates to spatial entropy. Both spatial information and spatial entropy correspond to the “spatial surprise” that is experienced by the map’s viewer: the former from a single cell, the latter from the image as a whole.
Only entropy comes easy
“Только энтропия даётся легко”
(Anton Chekhov, 1860–1904)
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Papadimitriou, F. (2022). Spatial Entropy, Geo-Information and Spatial Surprise. In: Spatial Entropy and Landscape Analysis. RaumFragen: Stadt – Region – Landschaft. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-35596-8_1
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