scholarly journals Spatial Data Driven Evaluation of City Locations

Author(s):  
Mikuláš Muroň ◽  
David Procházka

Moving to a new home or setting a new bureau in a new city is always difficult. One does not have knowledge about suitable locations; therefore, people are frequently unpleasantly surprised. High traffic noise, long distance to shops or high criminal activity are just few of many possible disturbing aspects. Certainly, there are many data sources that can help to see some particular aspect of the city life. Nonetheless, it is extremely complex and time‑consuming task to browse through large data sets and com‑pare provided information. Therefore, we developed a solution that comprises many different data sets that describe the city environment and created set of straightforward indices such as environment, safety, shopping etc. The users just provide the application his/her preferences and the application finds locations that are most suitable for particular cause. The application is presented on the example of the Brno city area.

2019 ◽  
Vol 51 (4) ◽  
pp. 167-179
Author(s):  
Marcin Pietroń

Abstract Databases are a basic component of every GIS system and many geoinformation applications. They also hold a prominent place in the tool kit of any cartographer. Solutions based on the relational model have been the standard for a long time, but there is a new increasingly popular technological trend – solutions based on the NoSQL database which have many advantages in the context of processing of large data sets. This paper compares the performance of selected spatial relational and NoSQL databases executing queries with selected spatial operators. It has been hypothesised that a non-relational solution will prove to be more effective, which was confirmed by the results of the study. The same spatial data set was loaded into PostGIS and MongoDB databases, which ensured standardisation of data for comparison purposes. Then, SQL queries and JavaScript commands were used to perform specific spatial analyses. The parameters necessary to compare the performance were measured at the same time. The study’s results have revealed which approach is faster and utilises less computer resources. However, it is difficult to clearly identify which technology is better because of a number of other factors which have to be considered when choosing the right tool.


Author(s):  
Myoung-Ah Kang ◽  
François Pinet ◽  
Sandro Bimonte ◽  
Gil De Sousa ◽  
Jean-Pierre Chanet

More and more data are collected via sensors. Wireless networks can be implemented to facilitate the collection of sensors data and to reduce the cost of their acquisition. In this chapter, we present a general architecture combining Wireless Sensor Network (WSN) and Spatial Data Warehouse (SDW) technologies. This innovative solution is used to collect automatically sensor's information and to facilitate the analysis of these data. The WSN used in this application has been deployed by Irstea and tested during several years in vineyards in South of France. The novel contribution presented in this chapter is related to the use of a SDW to manage data produced by geo-referenced sensor nodes. SDW is one of the most appropriate modern technologies for analyzing large data sets at different temporal and spatial scales. This type of databases is a specific category of information system used to integrate, accumulate and analyze information from various sources. These data are usually organized according to a multidimensional schema to facilitate the calculation of indicators. In this chapter, we introduce the development of a SDW storing the data collected by this WSN. The implemented data warehouse can allow users to aggregate and explore interactively data produced by sensors. With this system, it is possible to visualize on a map the results of these aggregations.


Urban Studies ◽  
2021 ◽  
pp. 004209802110128
Author(s):  
Linnet Taylor

What can urban big data research tell us about cities? While studying cities as complex systems offers a new perspective on urban dynamics, we should dig deeper into the epistemological claims made by these studies and ask what it means to distance the urban researcher from the city. Big data research has the tendency to flatten our perspective: it shows us technology users and their interactions with digital systems but does so often at the expense of the informal and irregular aspects of city life. It also presents us with the city as optimisable system, offering up the chance to engineer it for particular forms of efficiency or productivity. Both optimisation itself, and the process of ordering of the city for optimisation, confer political and economic power and produce a hierarchy of interests. This commentary advocates that researchers connect systems research to questions of structure and power. To do this requires a critical approach to what is missing, what is implied by the choices about which data to collect and how to make them available, and an understanding of the ontologies that shape both the data sets and the urban spaces they describe.


2011 ◽  
Author(s):  
Stephen W Hodson ◽  
Stephen W Poole ◽  
Thomas Ruwart ◽  
Bradley W Settlemyer

2020 ◽  
Vol 2 ◽  
pp. 1-1
Author(s):  
Rostislav Netek

Abstract. The paper discusses the issue of spatial visualisation within the topic of cultural and creative industries. Phenomenons such as spatial distribution, spatial evaluation of influence cultural subjects to the city environment, brain-drain and brain-gain of actors involved in the creative industries are demonstrated on the example of the Olomouc region, Czech Republic. It is based on spatial mapping of the creative industries in the region during the last decade. Based on the identification and collection of spatial data, over 1200 active subjects were identified in both spatial and non-spatial database. The general goal of the research is the find out the motivations of actors and talents within creative industries to leave from (brain-drain) or to come into (brain-gain) Olomouc region.The article focuses on the proposal of a strategy for strengthening the segment especially by spatial analysis and visualisation of the phenomenons. It aims to identify brain drain – talent and capital exodus with a purpose to propose stable position of creative industries within the region. The set of proposed measures and recommendations are primarily based on geographic and geoeconomic analyses supported by cartographic outputs. It offers to municipalities applicable tools to reduce side effects and identification of creative hubs, it enables systemic measures for recruitment and improvement of conditions for human capital development and acquisition. The presented paper describes the cartographic methods, procedures, spatial analyzes and map outputs achieved during the research.


Author(s):  
Qingming Zhan ◽  
Shuguang Deng ◽  
Zhihua Zheng

An adaptive spatial clustering (ASC) algorithm is proposed that employs sweep-circle techniques and a dynamic threshold setting based on Gestalt theory to detect spatial clusters. The proposed algorithm can automatically discover clusters in one pass, rather than through the modification of the initial model (for example, a minimal spanning tree, Delaunay triangulation, or Voronoi diagram). It can quickly identify arbitrarily shaped clusters while adapting efficiently to non-homogeneous density characteristics of spatial data, without the need of priori knowledge or parameters. The proposed algorithm is also ideal for use in data streaming technology with dynamic characteristics flowing in the form of spatial clustering large data sets.


Author(s):  
Martin D. Crossland

Geographic information systems (GISs) as a technology have been studied and reported extensively and, not unexpectedly, in the field of geography. The various ways of capturing spatial data, arranging attribute data into appropriate database structures, and making the resulting large data sets efficient to store and query have been extensively researched and reported (Densham, 1991). However, the geographic research community has only recently noted the need to study how GISs are used as decision tools, especially with regard to how such decision making might be related to a decision maker’s cognitive style (Mennecke, Crossland, et al., 2000). As an example, the University Consortium for Geographic Information Science called for research examining how geographic knowledge is acquired through different media and by users with different levels of experience and training (University Consortium for Geographic Information Science, 1996).


Author(s):  
Anne Humpherys

The 19th century saw the rise of the world’s first great metropolis, London, and the transformation of several northern British small towns into the first major industrial cities. These great cities offered the pleasures of anonymity and the dangers of alienation. Urbanization was both a great leveler and a producer of new classes such as the merchant, the professional classes, and the gentry. Perhaps the most important element in these developments was the railway, the building of which transformed the landscape, the cityscape, and individual lives. Though at the beginning of the century little could be recognized as modern, by the end all the elements that would identify the modern world were in place—seemingly infinite variety, endless change in the built environment, and startling contrasts, as well as overcrowding, dirt, noise, crime, poverty, and ostentatious display. New opportunities of all sorts also arose in these cities—for work, for criminal activity, for adventure, and for pleasure and distress. The Victorians themselves were both fascinated and horrified by their cities, especially London, which, though not an industrial city, also presented the combined effects of rapid and uncontrolled growth. The contradictory responses generated by all this change and development resulted in an impressive amount of writing, especially in the periodical press, which itself was a product of urbanization. Journalists, a new class dubbed the Fourth Estate, tried to gain an overview of the constantly changing city, and novelists devised narrative and symbolic ways to represent the totality of the city. Much of this work was about the social problems, but there were also many sketches that were full of delight at the variety and oddity of city life. Most serious scholarship on the Victorian city, however, began only after World War II, partly due to early-20th-century negative responses to the Victorians’ perceived moralistic values and limitations on personal development. Among the first to react against anti-Victorianism were campaigners seeking to preserve Victorian buildings—the founding of the Victorian Society in 1957 was a sign of this shift. Historians were not far behind in collecting and mining the archives not only of London but of all the great cities, especially Manchester. Literary scholars also began to analyze the impact of the city on literary and artistic production. Though the scholarly interest in urban history never ceased, later-20th-century scholars and critics also began to write about more specific aspects of the city—gender, nationalism, race, and sectarianism. Finally, the subject of the problematics of representing the city, in particular London, came under critical attention in the first decade of the 21st century.


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