Abstract Based on nighttime light data and statistical data, this study calculated the level of urban–rural integration (URI) Shandong province, researched spatial heterogeneity URI levels by local autocorrelation analysis, Geodetector, geographically weighted regression, analyzed its influencing factors heterogeneity. The results concluded that: (1) pattern integrated is consistent with regional economic development in province. higher along Qingdao–Jinan railway coast, whereas lower...

Understanding the impact of road network configuration, traffic stations and people flow factors on hotel layout can provide a scientific evidence for spatial planning hotels other service industries. Based multiple geographic big data, this study uses space syntax Geographic Information System (GIS) to explore with varying grades. Results show that low-end are most affected by configurations; is followed mid-range hotels, then high-end hotels; mostly located in areas high accessibility...

The spatial distribution pattern of urban structure affects air flow and local meteorological conditions, which in turn influence the diffusion pollutants. This study built index system based on DEM, road networks, big data. ordinary kriging interpolation method was used to analyze gaseous pollutant concentrations Jinan City. Correlation analysis, stepwise regression bivariate global autocorrelation analysis were concentration. main conclusions as follows: (1) Evident temporal differences...

Global warming and climate change have gained more attention because the global mean surface temperature has increased since late 19th century. With progress of rapid urbanization, Jinan city witnessed a significant urban thermal environment change. To investigate relationship between heat islands biophysical descriptors, city's properties along with land (LST) in 1992 2011 were retrieved from Landsat TM images. Additionally, three thematic indices employed to extract features impervious...

By using the data of industrial structure and economic social environment 8 cities Shandong peninsula urban agglomeration (SDPUA) from 2001 to 2012, ARCGIS spatial analyst extensions matlab7.0 stepwise regression were applied analyze space-time evolution & driving factors agglomeration. The results show that primary industry growth rate its proportion SDPUA increases gradually then decreases east west, firstly increase south north. secondary decrease tertiary west are Per capita gross...

Taking Shandong province as an example, the paper put forward determination method of regional development axis and their importance levels based on pole-axis theory. Firstly, writers selected four axes according to conditions choosing axis, then analyzed ranges 4 cities towns in with buffer analysis GIS. Secondly, calculated AHP, which had been improved by principle component method. Finally, result were classified into two types called first second class self-organizing competitive neural...

In order to obtain the study area of residential area, method visual interpretation combined with actual survey were adopted get elusion and dispersion zone road network spatial data attribute by using remote sensing image part in Jinan. First all, ARCGIS10.0, space buffer analysis was done based on risk place, then overlay results zone. Thus we can effective eliminating danger point affected. Secondly, entrances, service divided. realize recently evacuated, methods Euclidean allocation used...

By using the data of city function Shandong Peninsula Urban Agglomeration (SDPUA) in 2004, 2009 and 2014, Location quotient, K-means clustering algorithm ARCGIS10.0 were applied to analyze functional structure evolution SDPUA. The results show that cities functions their exist obvious regional differences. for example dominant strong Jinan are culture, sports entertainment, public administration social organization, health, security welfare, wholesale retail trade, building industry,...

By using the data of 19 industries 8 cities in Shandong peninsula urban agglomeration (SDPUA) 2009 and 2014, industrial structure coefficient, coefficient variation, similarity Shannon's diversity index were calculated to find quantitative relationship cities, BP artificial neural network fuzzy mathematics used study comprehensive level industries, GIS applied see spatial pattern SDPUA. We got these results conclusions: The secondary industry as percentage GDP reduced tertiary increased from...

Sustainable development is regarded as the common goal of by all countries world. There are many approaches on evaluating level regional sustainable development. In this paper, back propagation artificial neural networks and GIS were applied to evaluate levels 17 cities in Shandong province. Firstly, writers choose 28 indexes belonging 8 subsystems 3 systems. Secondly, processed data with 2 methods according characteristic each index. Thirdly, evaluated province method BP-ANN network toolbox...

Based on the national census data, spatial interpolation of residential buildings in Shandong Province is analyzed by method, and correlation between earthquake basic intensity rural building type realized based ArcGIS software platform. The results show that are mainly brick-concrete structures with scattered distribution; second brick-wood structure, distributed central eastern parts Province; then soil structure south stone-wood has smallest area, Linyi City its surrounding areas; 7...

With the production values of secondary and tertiary industries 18 industries, amount energy consumption 8 cities in Shandong peninsula urban agglomeration 2014, The Theil index, data envelopment analysis, correlation stepwise multiple regression analysis ArcGIS spatial were applied to study patterns industrial development their interactions. conclusions are: (1) balance degree have obvious differentiation characteristics they are not related each other. (2) technical efficiency without...