Spatial integration of oasis city group around the western margins of the Tarim Basin

In this paper,the oasis cities in Kashgar Prefecture and Kizilsu Kirgiz Autonomous Prefecture are taken as an example,through the factor analysis,spatial attraction interaction model and location quotient methods,urban hierarchy system,the intensity of urban economic ties,economic subordination degree,and structure of city functions were analyzed. The results indicated:(1) The urban hierarchy system takes Kashgar city as the main center,Artux city,Yarkant county and Maralbexi county as the sub-centers; (2) The intensity of economic ties among Kashgar city and each county is much higher than others. The interaction of Kashgar city,Shufu county and Shule county are the strongest,and the economic ties of Yarkant,Kagilik,Poskam counties are relatively close; All cities in the study area are economically subordinate to Kashgar city. (3) Three cities of Kashgar city,Shufu county and Shule county should connect strongly,with Kashgar city as the core. The cities and towns along the Southern Xinjiang Railway and along National Road 315 should be regarded as two strips,and the two city strips along the border,and the city strip along Provincial Road 215 should be treated as three axes. The ring structure strategy of 'core ring,closer ring and radiated ring' was proposed. (4) It was proposed to build Kashgar city group in the north,and Yarkant city group in the south,Maralbexi city group in the southeast,and Taxkorgan border city group with four inner groups’ development strategy.

Full feature data model for spatial information network integration

In allusion to the difficulty of integrating data with different models in integrating spatial information, the characteristics of raster structure, vector structure and mixed model were analyzed, and a hierarchical vector-raster integrative full feature model was put forward by integrating the advantage of vector and raster model and using the object-oriented method. The data structures of the four basic features, i.e. point, line, surface and solid, were described. An application was analyzed and described, and the characteristics of this model were described. In this model, all objects in the real world are divided into and described as features with hierarchy, and all the data are organized in vector. This model can describe data based on feature, field, network and other models, and avoid the disadvantage of inability to integrate data based on different models and perform spatial analysis on them in spatial information integration.

Study on the Current Situation of Urban Integration of Aboveground Space and Underground Space:Under the Background of China’s Land Spatial Planning

Urban underground public space has a synergistic effect with its surrounding urban aboveground functions or facilities,which reflects the complementarity between underground functions and urban functions.The research analyses the degree of integration through the case study of urban aboveground space and underground space in China.The research method of this paper will give different evaluation criteria to public transport and public space and the influencing factors of space integration.The indicators of public transport include the number of subway lines and underground parking spaces.The evaluation standard of public space is the area of underground space and the number of floors of underground space.The subway entrance and exits are selected as the evaluation index for the aboveground and underground transition space.Through the specific analysis of 7 selected cases,it provides arguments for the research.The average rent in the case is taken as the dependent variable.Through the regression model,the influencing factors of the integration of aboveground and underground space are determined.The purpose of the study is to explore the influencing factors of the integration of aboveground space and underground space,and how to optimize the integration of aboveground and underground space.

A Comparative Visualization Strategy of Probabilistic Susceptibility Maps for Analyzing Different Types of Slope Failures

This paper presents a comparative visualization strategy of slope failure susceptibility maps for analyzing different types of simultaneous occurrences of slope failures. Through the SEM （structural equation modeling）, slope failure susceptibility maps are produced by using causal factors （i.e., geographical information, satellite remotely sensed data）. As for a conventional pair-wise comparative procedure, the differences between susceptibility maps are delineated on difference maps, that can be, however, applied for evaluating differences only between pairs of susceptibility maps. One of the strong requirements from specialists working on slope stability evaluation is a comparative and visualization strategy of susceptibility maps with respect to ＂different types of simultaneous slope failures＂, for which the discussion is insufficient in the previous research activities for constructing the quantitative models for slope failure hazard mapping. As a measure, a color composite map based on susceptibility maps has been produced. The combination of assigning susceptibility maps to RGB-color planes is determined based on an index of ＂NCCT （normalized correlated color temperature）＂ which represents the relationship between chromaticity and human visual perception. Through the cases examined, the result indicates that the proposed color composite map, as a heuristic visualization strategy, is useful for simultaneously evaluating the hazardous areas affected by ＂different types of slope failures＂.

Inverse Estimation on Trigger Factors of Simultaneous Slope Failures with Purification of Training Data Sets

This paper presents an procedure for purifying training data sets （i.e., past occurrences of slope failures） for inverse estimation on unobserved trigger factors of ＂different types of simultaneous slope failures＂. Due to difficulties in pixel-by-pixel observations of trigger factors, as one of the measures, the authors had proposed an inverse analysis algorithm on trigger factors based on SEM （structural equation modeling）. Through a measurement equation, the trigger factor is inversely estimated, and a TFI （trigger factor influence） map can be also produced. As a subsequence subject, a purification procedure of training data set should be constructed to improve the accuracy of TFI map which depends on the representativeness of given training data sets of different types of slope failures. The proposed procedure resamples the matched pixels between original groups of past slope failures （i.e., surface slope failures, deep-seated slope failures, landslides） and classified three groups by K-means clustering for all pixels corresponding to those slope failures. For all cases of three types of slope failures, the improvement of success rates with respect to resampled training data sets was confirmed. As a final outcome, the differences between TFI maps produced by using original and resampled training data sets, respectively, are delineated on a DIF map （difference map） which is useful for analyzing trigger factor influence in terms of ＂risky- and safe-side assessment＂ sub-areas with respect to ＂different types of simultaneous slope failures＂.

Strategic Planning for Avoidance of Catastrophic Flood Consequences

The present study is to deal with the strategic planning in avoidance of all catastrophic consequences of major flood in West Attica region in 2017 and is divided into three main sections.The first one comprises the study of the internal and external environment of the Regional Unit of West Attica with analysis of resources,procedures,culture that governs the internal environment,external bodies and mapping through PESTEL(Political,Economic,Socio-Cultural and Technological)analysis as components of the external environment.The second section comprises the vision and mission of this strategic plan and specializes in reporting and analyzing the strategic objectives as well as the actions that characterize them in order to complete the mission that has been set and to achieve the vision that has been planned.The last section focuses on the feasibility of the above proposals formulated in the midst of actions and strategic objectives with the help of SWOT(Strength,Weakness,Opportunity,and Threat)analysis and concludes with a proposal for the implementation of strategic planning with the implementation of the Integrated Spatial Investment tool.

Design of Service-Oriented Architecture for Spatial Data Integration and Its Application in Building Web-based GIS Systems

In this paper we propose a service-oriented architecture for spatial data integration (SOA-SDI) in the context of a large number of available spatial data sources that are physically sitting at different places, and develop web-based GIS systems based on SOA-SDI, allowing client applications to pull in, analyze and present spatial data from those available spatial data sources. The proposed architecture logically includes 4 layers or components; they are layer of multiple data provider services, layer of data in-tegration, layer of backend services, and front-end graphical user interface (GUI) for spatial data presentation. On the basis of the 4-layered SOA-SDI framework, WebGIS applications can be quickly deployed, which proves that SOA-SDI has the potential to reduce the input of software development and shorten the development period.

Conceptual design and implementation of spatial data warehouses integrating regular grids of points

Spatial online analytical processing(OLAP)and spatial data warehouse(SDW)systems are geo-business intelligence technologies that enable the analysis of huge volumes of geographic data.In the last decade,the conceptual design and implementation of SDWs that integrate spatial data,which are represented using the vector model,have been extensively investigated.However,the integration of field data(a continuous representation of spatial data)in SDWs is a recent unresolved research issue.Enhancing SDWs with field data improves the spatio-multidimensional analysis capabilities with continuity and multiresolutions.Motivated by the need for a conceptual design tool and relational online analytical processing(ROLAP)implementation,we propose a UML profile for SDWs that integrates a regular grid of points and supports continuity and multiresolutions.We also propose an efficient implementation of a ROLAP architecture.

China’s spatial(dis)integration as a multiethnic paradox:what do the interprovincial data say?

Using China’s interprovincial panel data,this paper shows that the negative effect of distance-related transactions costs on interprovincial trade tends to rise from 2000 to 2010.After constructing China’s 56 ethnic groups into a single,interprovincial similarity index,I cannot find any evidence that supports the view that ethnic links should serve as a factor promoting bilateral trade.However,my estimated coefficients on 37 major ethnic groups show that both positive and negative ethnic influences on trade exist in China.Specifically,14 ethnic groups(Lahu,Qiang,Jingpo,Tu,Mongol,Manchu,Hui,Zhuang,Dongxiang,Daur,Kirgiz,She,Maonan,and Tibetan)are found to contribute to China’s interprovincial trade,while five ethnic groups(Han,Va,Kazak,Dai,and Blang)tend to impede China’s interprovincial trade.Since all these estimated results are statistically significant,the ethnic influences on China’s spatial(dis)integration remain only but as a paradox.

Supporting integrative maritime spatial planning by operationalising SEANERGY – a tool to study cross-sectoral synergies and conflicts

With growing pressures on marine ecosystems and on marine space,an increasingly needed strategy to optimise the use of marine space is to co-locate synergic marine human uses in close spatial–temporal proximity while separating conflicting marine human uses.The ArcMap toolbox SEANERGY is a new,cross-sectoral spatial decision support tool(DST)that enables maritime spatial planners to consider synergies and conflicts between marine uses to support assessments of co-location options.Cross-sectoral approaches are important to reach more integrative maritime spatial planning(MSP)processes.As this article demonstrates through a Baltic Sea analysis,SEANERGY presents a crosssectoral use catalogue for MSP through enabling the tool users to answer important specific questions to spatially and/or numerically weight potential synergies/conflicts between marine uses.The article discusses to what degree such a cross-sectoral perspective can support integrative MSP processes.While MSP integrative challenges still exist,SEANERGY enables MSP processes to move towards developing shared goals and initiate discussions built on best available knowledge regarding potential use-use synergies and use-use conflicts for whole sea basins at once.

3D image reconstruction with controllable spatial filtering based on correlation of multiple periodic functions in computational integral imaging

We propose a novel method of slice image reconstruction with controllable spatial filtering by using the correlation of periodic delta-function arrays （PDFAs） with elemental images in computational integral imaging. The multiple PDFAs, whose spatial periods correspond to object＇s depths with the elemental image array （EIA）, can generate a set of spatially filtered EIAs for multiple object depths compared with the conventional method for the depth of a single object. We analyze a controllable spatial filtering effect by the proposed method. To show the feasibility of the proposed method, we carry out preliminary experiments for multiple objects and present the results.

CO2 emissions from cement industry in China： A bottom-up estimation from factory to regional and national levels

Much attention is being given to estimating cement-related CO2 emissions in China. However, scant explicit and systematical exploration is being done on regional and national CO2 emission volumes. The aim of this work is therefore to provide an improved bottom-up spatial-integration system, relevant to CO2 emissions at factory level, to allow a more accurate estimation of the CO2 emissions from cement production. Based on this system, the sampling data of cement production lines were integrated as regional- and national-level information. The integration results showed that each ton of clinker produced 883 kg CO2, of which the process, fuel, and electricity emissions accounted for 58.70%, 35.97%, and 5.33%, respectively. The volume of CO2 emissions from clinker and cement production reached 1202 Mt and 1284 Mt, respectively, in 2013. A discrepancy was identified between the clinker emission factors relevant to the two main production processes （i.e., the new suspension preheating and pre-calcining kiln （NSP） and the vertical shaft kiln （VSK））, probably relevant to the energy efficiency of the two technologies. An analysis of the spatial characteristics indi- cated that the spatial distribution of the clinker emission factors mainly corresponded to that of the NSP process. The discrepancy of spatial pattern largely complied with the economic and population distribution pattern of China. The study could fill the knowledge gaps and provide role players with a useful spatial integration system that should facilitate the accurate estimation of carbon and corresponding regional mitigation strategies in China.