Spatial entropy for biodiversity and environmental data: The R-package SpatEntropy

L Altieri, D Cocchi, G Roli - Environmental Modelling & Software, 2021 - Elsevier
Entropy measures are standard tools in environmental and ecological sciences to describe
the heterogeneity of data. This paper reviews a selection of spatial entropy indices, some of …

Urban development wave: Understanding physical spatial processes of urban expansion from density gradient of new urban land

J Yang, J Li, F Xu, S Li, M Zheng, J Gong - Computers, Environment and …, 2022 - Elsevier
Investigation and planning of future urbanization pathways necessitates knowledge and
tools to better understand the physical spatial processes of urban expansion. In this study …

Network-entropy-based morphological polycentricity in 1851-1881 England and Wales

M Mazzamurro, W Guo - … B: Urban Analytics and City Science, 2024 - journals.sagepub.com
A system of cities is morphologically polycentric when its cities are similarly sized and evenly
spaced across its territory. In this paper, we adapt established spatial interaction models and …

[HTML][HTML] Efficient computation of spatial entropy measures

L Altieri, D Cocchi, G Roli - Entropy, 2023 - mdpi.com
Entropy indices are commonly used to evaluate the heterogeneity of spatially arranged data
by exploiting various approaches capable of including spatial information. Unfortunately, in …

Spatial entropy, geo-information and spatial surprise

F Papadimitriou - Spatial entropy and landscape analysis, 2022 - Springer
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 for quantifying ore loss and dilution in open-pit mines

S Hmoud, M Kumral - Mining, Metallurgy & Exploration, 2023 - Springer
Effective management of ore loss and dilution is essential for successful grade control and
short-term mine planning due to their significant impact on the economic, environmental …

珠三角地区家具产业链空间聚类识别及空间熵分解

陈子归, 苏乐言, 吴客形, 王振军, 戴向东 - 经济地理, 2024 - jjdl.com.cn
文章基于珠三角地区全产业链家具企业POI 数据, 采用DBSCAN 空间聚类算法识别并提取家具
产业空间聚类集群, 运用核密度估计, 轮廓系数等方法剖析了家具产业空间聚类的总体特征 …

Spatial Sampling for Non‐compact Patterns

L Altieri, D Cocchi - International Statistical Review, 2021 - Wiley Online Library
The objective of spatial sampling is to collect subsets of individuals from a population in the
two‐dimensional space, in order to estimate some population characteristics. Traditional …

Understanding the expansion of Italian metropolitan areas: A study based on entropy measures

L Altieri, D Cocchi - … and Planning B: Urban Analytics and …, 2022 - journals.sagepub.com
This work presents a study on the urban configuration of a number of Italian metropolitan
areas and their development over time, with the aim of evaluating the size and shape of …

The analysis of the urban sprawl measurement system of the Yangtze River Economic Belt, based on deep learning and neural network algorithm

H Huang, X Wu, X Cheng - … journal of environmental research and public …, 2020 - mdpi.com
In the context of rapid urbanization, the spread of cities in the Yangtze River Economic Belt
is intensifying, which has an impact on the green and sustainable development of these …