Morphology of Warsaw City Structure Using Urban Indexes and GIS Tools

The article presents the process of creating a tool using GIS systems to describe the city’s spatial structure. Therefore, the subject of this research was the method of describing the city structure using non-functional zoning, in conjunction with the use of urban indicators. Using the relationships between the values of urban indicators and individual typologies of buildings, they can be assigned to subsequent zones from the Rural-to-Urban Transect methodology. Therefore, in this article, urban indicators have been defined, thanks to which it is possible to distinguish different typologies of buildings. Next, the relationships between selected indicators and transect zones have been examined, and thanks to the obtained conclusions, transect zones for Warsaw have been defined. Finally, the spatial structure of a selected part of Warsaw has been described using these zones. The purpose of this study is also to initially assess the usefulness of the developed tool for the needs of urban planners.

The functio-spatial structure of airport surroundings: the case of Kraków Airport

The area around Krakow airport is an attractive developmental urban area. The concentration of passenger traffic and the flow of goods is conducive to new development projects. These projects are associated with the operation of airports, as well as new uses which see the proximity of an airport as an additional asset in operating a business based on access to a form of high-speed transport. This paper presents the findings of research concerning the existing spatial structure, transport accessibility and compositional determinants within an area around Krakow Airport, which can be used to assess the phenomena present and formulate principles and trajectories of shaping them in the future. The study was based on an analysis of selected elements of the existing functio-spatial structure, as well as available materials and subject-specific planning documents. Due to the specificity of areas around airports, which undergo dynamic change, it appears key to determine the individual form of development and land cover, that skilfully combines modernity and comfort of use with meshing with the local landscape, featuring a network of linkages and the character of suburban space. The issues present in this area are distinctive of many cities and require coherent land development proposals.

Spatial Pattern of Functional Urban Land Conversion and Expansion under Rapid Urbanization: A Case Study of Changchun, China

As populations continue to be concentrated in cities, the world will become entirely urbanized, and urban space is undergoing a drastic evolution. Understanding the spatial pattern of conversion and expansion of functional urban land, in the context of rapid urbanization, helps us to grasp the trajectories of urban spatial evolution in greater depth from a theoretical and practical level. Using the ESRI ArcGIS 9.3 software platform, methods, such as overlay analysis, transition matrix, and kernel density estimation, were used in order to analyze the spatiotemporal characteristics of different types of functional urban land conversion and expansion in the central city of Changchun. The results show that different types of functional urban land were often expanded and replaced, and the urban spatial structure was constantly evolving. The conversion and expansion of functional urban land show similar characteristics to concentric zone and sector modes and show dynamic changes in different concentric circles and directions at different periods. Our method can accurately identify the different types of functional urban land, and also explore the evolutionary trajectory of urban spatial structure. This study will help to coordinate the development of different functional urban spaces and to optimize the urban spatial structure in the future.

Superpixel Weighted Low-rank and Sparse Approximation for Hyperspectral Unmixing

We propose a superpixel weighted low-rank and sparse unmixing (SWLRSU) method for sparse unmixing. The proposed method consists of two steps. In the first step, we segment hyperspectral image into superpixels which are defined as the homogeneous regions with different shape and sizes according to the spatial structure. Then, an efficient method is proposed to obtain a spatial weight term using superpixels to capture the spatial structure of hyperspectral data. In the second step, we solve a superpixel guided low-rank and spatially weighted sparse approximation problem in which spatial weight term obtained in the first step is used as a weight term in sparsity promoting norm. This formulation exploits the spatial correlation of the pixels in the hyperspectral image efficiently, which yields satisfactory unmixing results. The experiments are conducted on simulated and real data sets to show the effectiveness of the proposed method.

Superpixel Weighted Low-rank and Sparse Approximation for Hyperspectral Unmixing

We propose a superpixel weighted low-rank and sparse unmixing (SWLRSU) method for sparse unmixing. The proposed method consists of two steps. In the first step, we segment hyperspectral image into superpixels which are defined as the homogeneous regions with different shape and sizes according to the spatial structure. Then, an efficient method is proposed to obtain a spatial weight term using superpixels to capture the spatial structure of hyperspectral data. In the second step, we solve a superpixel guided low-rank and spatially weighted sparse approximation problem in which spatial weight term obtained in the first step is used as a weight term in sparsity promoting norm. This formulation exploits the spatial correlation of the pixels in the hyperspectral image efficiently, which yields satisfactory unmixing results. The experiments are conducted on simulated and real data sets to show the effectiveness of the proposed method.