scholarly journals Urban Land Use Intensity and Efficient Evaluation in X City: Based on Principal Component Analysis

2012 ◽  
Author(s):  
Yu Lisheng ◽  
Xu Guochong
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Principal Component ◽  
Component Analysis ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Intensity

Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing

2018 ◽  
Vol 85 ◽  
pp. 190-203 ◽  
Author(s):  
Thilo Wellmann ◽  
Dagmar Haase ◽  
Sonja Knapp ◽  
Christoph Salbach ◽  
Peter Selsam ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Intensity ◽  
Intensity Assessment ◽  
Spatio Temporal

scholarly journals Principal component analysis optimization of a PM2.5 land use regression model with small monitoring network

2012 ◽  
Vol 425 ◽  
pp. 27-34 ◽  
Author(s):  
Hector A. Olvera ◽  
Mario Garcia ◽  
Wen-Whai Li ◽  
Hongling Yang ◽  
Maria A. Amaya ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Model ◽  
Monitoring Network ◽  
Principal Component ◽  
Component Analysis ◽  
Land Use Regression

scholarly journals Finding Clog Models for the Urban Traffic Blocking & Assessment of Corridors

2019 ◽  
Vol 8 (11S2) ◽  
pp. 464-467
Keyword(s):  
Principal Component Analysis ◽  
Land Use ◽  
Regression Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Urban Traffic ◽  
Current Paper ◽  
Urban Travel ◽  
Travelling Time ◽  
Telangana State

Urban travel blockage is one of the serious issues which are affecting travelling time. This impact is on economical ability of transportable, non-element of condition, psychosomatic stresses and a movement irregularity on movement. There is a need to indentify clog models for the remarkable impact boil down in peak hour gridlock. The blockage standards can be followed the characteristic located on street with hustle. The clog is created with the overhead conveyed with inconsistent factors and show the way to the fate. These aspects are revealed that they are because of impact of certain trademark impact from elements of land use, street symmetrical, and commute and street organize attributes. This research is encircled on with the staggered distressing variables. GPS information, GIS support tactic is proposed in the assessment for information and a clog model is related to discover clog factors. The current paper compacts with the deliberate the blockage criterions, and clog produced factors for the Dilsukhnagar zone (Gaddianaram region) Hyderabad, Telangana State, INDIA using Principal Component Analysis (PCA) and regression analysis.

scholarly journals ANALYSING RELATIONSHIPS BETWEEN URBAN LAND USE FRAGMENTATION METRICS AND SOCIO-ECONOMIC VARIABLES

2016 ◽  
Vol XLI-B8 ◽  
pp. 1029-1036 ◽  
Author(s):  
M. Sapena ◽  
L. A. Ruiz ◽  
F. J. Goerlich
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Structural Changes ◽  
Principal Component ◽  
Urban Land ◽  
Growth Patterns ◽  
Urban Land Use ◽  
Economic Variables ◽  
Explanatory Variables ◽  
Socio Economic Variables

Analysing urban regions is essential for their correct monitoring and planning. This is mainly accounted for the sharp increase of people living in urban areas, and consequently, the need to manage them. At the same time there has been a rise in the use of spatial and statistical datasets, such as the Urban Atlas, which offers high-resolution urban land use maps obtained from satellite imagery, and the Urban Audit, which provides statistics of European cities and their surroundings. In this study, we analyse the relations between urban fragmentation metrics derived from Land Use and Land Cover (LULC) data from the Urban Atlas dataset, and socio-economic data from the Urban Audit for the reference years 2006 and 2012. We conducted the analysis on a sample of sixty-eight Functional Urban Areas (FUAs). One-date and two-date based fragmentation indices were computed for each FUA, land use class and date. Correlation tests and principal component analysis were then applied to select the most representative indices. Finally, multiple regression models were tested to explore the prediction of socio-economic variables, using different combinations of land use metrics as explanatory variables, both at a given date and in a dynamic context. The outcomes show that demography, living conditions, labour, and transportation variables have a clear relation with the morphology of the FUAs. This methodology allows us to compare European FUAs in terms of the spatial distribution of the land use classes, their complexity, and their structural changes, as well as to preview and model different growth patterns and socio-economic indicators.

Impact of the top-down quota-oriented farmland preservation planning on the change of urban land-use intensity in China

2018 ◽  
Vol 77 ◽  
pp. 71-79 ◽  
Author(s):  
Taiyang Zhong ◽  
Zhu Qian ◽  
Xianjin Huang ◽  
Yuntai Zhao ◽  
Yan Zhou ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Intensity ◽  
Farmland Preservation ◽  
Top Down ◽  
Preservation Planning
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