Titlebook: Spatial Entropy and Landscape Analysis; Fivos Papadimitriou Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive lic

危险

choleretic

Emergence, Sustainability and Cyber-Physical Landscapes,-physical systems, this analysis points to the central role of entropy for our future (and spatial entropy in particular), as we ourselves are products of a very long and evolutionary process that was based on local differentiations of thermodynamic entropy which leaves its environmental footprints

gregarious

Visual Perception of Spatial Entropy and Landscape Analysis,ial entropy may however be misleading. As example maps show here, the concept of spatial entropy does not necessarily imply spatial “disorder”, while the aggregation of spatial classes or colors together in some region of space may result in a misperception of high (or low) spatial entropy.

Genome

Spatial Entropy, Geo-Information and Spatial Surprise,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.

reptile

Computing the Spatial Entropy of Square Binary Maps, cellular (i.e. square) binary maps? To address this question, a number of different alternative formulas for the calculation of Shannon-based spatial entropy are devised and presented here, based on “run-length encoding”, “entropy encoding”, spatial block encoding and on the number of quadratic for

glacial

Spatial Entropy of Directional Geographical Data and Landscape Networks,hannon-based formulas of spatial entropy can also be adjusted to non-cellular geographical data..Spatial networks abound in both rural and urban landscapes (i.e. with cities as nodes and transport routes as links, with species as nodes and trophic relationships as links) and a Shannon-type formula c

upstart

Spatial Entropy of Landscapes Simulated with Artificial Life and Swarm Intelligence, of living beings and offering the possibility to observe the dynamics of digital (artificial) landscapes from within computer visualizations. In parallel to Artificial Life, the field of Swarm Intelligence provides a range of algorithms that can also be used to create digital landscapes. Both field

割公牛膨胀

Spatial Negentropy and Social Self-Organization in Simulated Landscapes, with urban segregation. The concept of spatial negentropy is introduced here and next, the changes in spatial entropy or spatial negentropy of a simulated landscape produced by Schelling’s model reveal how self-organization takes place in space in the course of time. Further, a spatial entropy base

草本植物

FACET

Spatial Entropy, Non-Extensive Thermodynamics and Landscape Change,dynamics for landscape analysis. After introducing the applicability of non-Shannonian measures of landscape entropy by using the entropy formulas of Rényi, Kapur, Vajda, Pal & Pal, the suitability of Tsallis entropy for landscape analysis is examined in more detail. Due to its “non-extensivity”, Ts