Study of Urban Land-Use Structure Situation on the Ground of Information Entropy

2011 ◽  
Vol 50-51 ◽  
pp. 1008-1012
Author(s):  
Cui Lan Mi ◽  
Ying Li Liu
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Information Entropy ◽  
Markov Models ◽  
Driving Forces ◽  
Principal Component ◽  
Urban Land Use ◽  
Equilibrium Degree ◽  
Land Use Structure ◽  
The Impact

In order to reveal the change law of land structure in recent years and the future land use structure in urban Tangshan, an analysis of the rules is conducted by applying such information theory as information entropy, equilibrium degree and dominance degree to nine types of land in urban Tangshan from 1998 to 2007. Then principal component analysis and SPSS are used to analyze the driving forces and the impact of various factors on land use structure. Finally, land use structure in 2012 and 2017 is predicted through Markov models.

The Structure Changes of the Land Use and the Related Influence Factors Analysis – Based on the Information Entropy and Principal Component Analysis

2014 ◽  
Vol 955-959 ◽  
pp. 4039-4044
Author(s):  
Zhen Mei Wang ◽  
Ying Huang ◽  
Fei Shen
Keyword(s):  
Land Use ◽  
Information Entropy ◽  
Influence Factors ◽  
Principal Component ◽  
Land Utilization ◽  
Temporal And Spatial Variation ◽  
Equilibrium Degree ◽  
Factors Analysis ◽  
Structure Changes ◽  
Temporal And Spatial

Using information entropy,this paper analyzed the temporal and spatial variation of land use structure in Shandong Province from 2003 to 2008. The results are as follows:The information entropy and equilibrium degree went up and the dominance degree went down year by year. That reflects that the disorder of the land use system was strengthening, while the structure weakening, and that the types of land utilization tended to be equilibrium during the study period.

Comparative Research on the Impact of Correlation between Clustering Factors on Land Use Zoning: A Case Study of Linxiang, China

2013 ◽  
Vol 295-298 ◽  
pp. 2481-2485 ◽  
Author(s):  
Lin Tian ◽  
Yan Zhong Liu ◽  
Zhou Xiao Yi ◽  
Lan Yan ◽  
Zhi Wen Gui ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Comparative Research ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
The Other ◽  
Objective Reality ◽  
The Impact ◽  
Positive Effect

To make clear what the impact of correlation between clustering factors to land use zoning is, taking Linxiang prefecture as the object of investigation, this study firstly establish a land use zoning index system, and then get two zoning results with hierarchical cluster analysis. One is achieved with correlation reserved; the other is approached with the correlation eliminated by principal component analysis. Analyze the two clustering results comparatively associated with the objective reality of land use, and we conclude that the correlation between indices has a positive effect on the zoning result and should be reserved.

THE IMPACT OF DIFFERENT URBAN LAND USE TYPES ON AIR POLLUTION IN THE MEGACITY OF SÃO PAULO

2020 ◽  
Vol 7 (1) ◽  
pp. 91
Author(s):  
Júlio Barboza Chiquetto ◽  
Maria Elisa Siqueira Silva ◽  
Rita Yuri Ynoue ◽  
Flávia Noronha Dutra Ribieiro ◽  
Débora Souza Alvim ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Urban Land ◽  
Sao Paulo ◽  
Urban Land Use ◽  
São Paulo ◽  
Land Use Types ◽  
The Impact

A poluição do ar é influenciada por fatores naturais e antropogênicos. Quatro pontos de monitoramento (veicular, comercial, residencial e background urbano (BGU))da poluição do ar em São Paulo foram avaliados durante 16 anos, revelando diferenças significativas devidoao uso do solo em todas as escalas temporais. Na escala diurna, as concentrações de poluentes primários são duas vezes mais altas nos pontos veicular e residencial do que no ponto BGU, onde a concentração de ozonio (O3) é 50% mais alta. Na escala sazonal, as concentrações de monóxido de carbono(CO) variaram em 80% devido ao uso do solo, e 55% pela sazonalidade.As variações sazonais ede uso do solo exercem impactos similares nas concentrações de O3 e monóxido de nitrogênio (NO). Para o material particulado grosso (MP10) e o dióxido de nitrogênio(NO2), as variações sazonais são mais intensas do que as por uso do solo. Na série temporal de 16 anos, o ponto BGU apresentou correlações mais fortes e significativas entre a média mensal de ondas longas (ROL) e o O3 (0,48) e o MP10 (0,37), comparadas ao ponto veicular (0,33 e 0,22, respectivamente). Estes resultados confirmam que o uso do solo urbano tem um papel significativo na concentração de poluentes em todas as escalas de análise, embora a sua influência se torne menos pronunciada em escalas maiores, conforme a qualidade do ar transita de um sistema antropogênico para um sistema natural. Isto poderá auxiliar decisões sobre políticas públicas em megacidades envolvendo a modificação do uso do solo.

Evaluation of the Aging Behavior of High Density Polyethylene in Thermal Oxidative Environment by Principal Component Analysis

2017 ◽  
Vol 727 ◽  
pp. 447-449 ◽  
Author(s):  
Jun Dai ◽  
Hua Yan ◽  
Jian Jian Yang ◽  
Jun Jun Guo
Keyword(s):  
Principal Component Analysis ◽  
Impact Strength ◽  
High Density Polyethylene ◽  
Tensile Modulus ◽  
Principal Component ◽  
Component Analysis ◽  
High Density ◽  
Aging Behavior ◽  
Data Set ◽  
The Impact

To evaluate the aging behavior of high density polyethylene (HDPE) under an artificial accelerated environment, principal component analysis (PCA) was used to establish a non-dimensional expression Z from a data set of multiple degradation parameters of HDPE. In this study, HDPE samples were exposed to the accelerated thermal oxidative environment for different time intervals up to 64 days. The results showed that the combined evaluating parameter Z was characterized by three-stage changes. The combined evaluating parameter Z increased quickly in the first 16 days of exposure and then leveled off. After 40 days, it began to increase again. Among the 10 degradation parameters, branching degree, carbonyl index and hydroxyl index are strongly associated. The tensile modulus is highly correlated with the impact strength. The tensile strength, tensile modulus and impact strength are negatively correlated with the crystallinity.

scholarly journals Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 303
Author(s):  
Xinhai Lu ◽  
Yifeng Tang ◽  
Shangan Ke
Keyword(s):  
Economic Growth ◽  
Land Use ◽  
High Speed ◽  
Urban Land ◽  
Urban Land Use ◽  
Western China ◽  
High Speed Rail ◽  
Land Use Efficiency ◽  
Use Efficiency ◽  
The Impact

The construction and operation of high-speed rail (HSR) has become an important policy for China to achieve efficiency and fairness and promote high-quality economic growth. HSR promotes the flow of production factors such as labor and capital and affects economic growth, and may further affect urban land use efficiency (ULUE). To explore the impact of HSR on ULUE, this paper uses panel data of 284 cities in China from 2005 to 2018, and constructs Propensity Score Matching-Differences in Differences model to evaluate the effect of HSR on ULUE. The result of entire China demonstrates that the HSR could significantly improves the ULUE. Meanwhile, this paper also considers the heterogeneity of results caused by geographic location, urban levels and scales. It demonstrates that the HSR has a significantly positive effect on ULUE of Eastern, Central China, and large-sized cities. However, in Western China, in medium-sized, and small-sized cities, the impact of HSR on ULUE is not significant. This paper concludes that construction and operation of HSR should be linked to urban development planning and land use planning. Meanwhile, the cities with different geographical locations and scales should take advantage of HSR to improve ULUE and promote urban coordinated development.

Remote communication in Scrum teams – a COVID-19 preventive measure or work time optimisation?

e-mentor ◽  
2021 ◽  
Vol 92 (5) ◽  
pp. 81-90
Author(s):  
Kamil Brodnicki ◽  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Preventive Measure ◽  
Remote Work ◽  
Remote Communication ◽  
Work Time ◽  
Research Material ◽  
And Cluster Analysis ◽  
The Impact

The article presents the impact of remote work, resulting from the COVID-19 pandemic, on the functioning of Scrum teams. Attempts have been made to analyse the positive and negative aspects of remote work. The article also looks at the impact of remote work on the level of communication and efficiency of Scrum teams. For this purpose, the author conducted research on a sample of 40 organisations that declared to use Scrum methodology, using 187 questionnaires as the research material. The study was carried out at the turn of April and May 2021 and was carried out using the CAWI technique. The obtained results were analysed using the Principal Component Analysis and Cluster Analysis methods, and enable defining a picture of an organisation’s readiness to work remotely. In addition, they also allowed for an assessment of how the infrastructure used for remote work communication translates into the organisation of Sprint meetings. This paper presents conclusions aimed at counteracting the observed irregularities detected during the tests. At the end, the author proposes solutions that could improve communication within Scrum teams, with remote work in mind.

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