GÜZELYURT – ABBASLAR ARASINDAKİ (DULKADİROĞLU – KAHRAMANMARAŞ) KAYAÇLARIN PETROGRAFİK EVRİMİ VE EKONOMİK POTANSİYELLERİ

Author(s):  
ESİN ÜNAL ◽  
Fikret İŞLER

The study area between subdistrict Güzelyurt, 11 km southeast of the city Kahramanmaraş and the Abbaslar village. Mesosoic and Senosoic age units are obsorved in the field the oldest units are tectonites, the parts of the ophiolitics series which moved into the field by mounting in the Upper Kretase. Serpantinites which are formed by the alteration of partically or completely serpantinized and harzburgite and peridotites, form the tectonites. Tectonically bordered Paleosen-Eosen limestones have came into ophiolitic series. The youngest units in the area are plateau basalts which are the results of Cretase-aged volcanism. Besides, they have proved to the different from the basalts of the ophiolitic series because they have been spilitised as regarded with the appereans in the area and they don’t show cushion flow. These rocks, defined as olivined basalt after the microscopic studies. Peridotites in the ophiolite series in the study area are noteworthy because they contain chromite. The chromites in the region take place in the peridotites as scattered grains and small pockets. Detailed studies are needed to reveal the economic values of chromites in a healthy way. Especially west of Denizli village and north of Tevekkeli village can be suggested as places where work should be intensified. However, limestones and basalts in the formations cropping out in the study area are used as building blocks in small and large settlements in the region.

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ariel Salgado ◽  
Weixin Li ◽  
Fahad Alhasoun ◽  
Inés Caridi ◽  
Marta Gonzalez

AbstractWe present an urban science framework to characterize phone users’ exposure to different street context types based on network science, geographical information systems (GIS), daily individual trajectories, and street imagery. We consider street context as the inferred usage of the street, based on its buildings and construction, categorized in nine possible labels. The labels define whether the street is residential, commercial or downtown, throughway or not, and other special categories. We apply the analysis to the City of Boston, considering daily trajectories synthetically generated with a model based on call detail records (CDR) and images from Google Street View. Images are categorized both manually and using artificial intelligence (AI). We focus on the city’s four main racial/ethnic demographic groups (White, Black, Hispanic and Asian), aiming to characterize the differences in what these groups of people see during their daily activities. Based on daily trajectories, we reconstruct most common paths over the street network. We use street demand (number of times a street is included in a trajectory) to detect each group’s most relevant streets and regions. Based on their street demand, we measure the street context distribution for each group. The inclusion of images allows us to quantitatively measure the prevalence of each context and points to qualitative differences on where that context takes place. Other AI methodologies can further exploit these differences. This approach presents the building blocks to further studies that relate mobile devices’ dynamic records with the differences in urban exposure by demographic groups. The addition of AI-based image analysis to street demand can power up the capabilities of urban planning methodologies, compare multiple cities under a unified framework, and reduce the crudeness of GIS-only mobility analysis. Shortening the gap between big data-driven analysis and traditional human classification analysis can help build smarter and more equal cities while reducing the efforts necessary to study a city’s characteristics.


2021 ◽  
Vol 21 (3) ◽  
pp. 1-21
Author(s):  
Francesco Piccialli ◽  
Fabio Giampaolo ◽  
Edoardo Prezioso ◽  
Danilo Crisci ◽  
Salvatore Cuomo

Nowadays, a sustainable and smart city focuses on energy efficiency and the reduction of polluting emissions through smart mobility projects and initiatives to “sensitize” infrastructure. Smart parking is one of the building blocks of intelligent mobility, innovative mobility that aims to be flexible, integrated, and sustainable and consequently integrated into a Smart City. By using the Internet of Things (IoT) sensors located in the parking areas or the underground car parks in combination with a mobile application, which indicates to citizens the free places in the different areas of the city and guides them toward the chosen parking, it is possible to reduce air pollution and fluidifying noise traffic. In this article, we present and discuss an innovative Deep Learning-based ensemble technique in forecasting the parking space occupancy to reduce the search time for parking and to optimize the flow of cars in particularly congested areas, with an overall positive impact on traffic in urban centres. A genetic algorithm has also been used to optimize predictors parameters. The main goal is to design an intelligent IoT-based service that can predict, in the next few hours, the parking spaces occupancy of a street. The proposed approach has been assessed on a real IoT dataset composed by over than 15M of collected sensor records. Obtained results demonstrate that our method outperforms both single predictors and the widely used strategy of the mean providing inherently robust predictions.


2020 ◽  
Vol 70 (1) ◽  
pp. 7-32
Author(s):  
Angel Adams Parham

This essay facilitates a multi-dimensional immersion into the life and rhythms of New Orleans, an entrée to the past that equips us to better understand the present and, from there, critically and creatively to envision our possible futures together. We explore the Faubourg Tremé by traversing layers of its lieux de souvenir - places of remembering, a concept inspired by but distinct from Pierre Nora’s lieux de mémoire - across three time periods. Each lieu de souvenir we visit from 1720 to the present will highlight material and symbolic foundations in Tremé that help us to understand key aspects of New Orleans’s past and present. The object that will guide our travel and meditation through each layer is the lowly but highly serviceable brick. At a purely material level, bricks are the literal building blocks of the city. Roads were paved with them and homes and other buildings were constructed with bricks as well. And at a symbolic level, bricks carry multiple rich and complex significations: Who makes them? How does their manufacturing shape the lives of the laborers who create them? Who buys them, and who profits from their sale? Tracing the brick and its uses throughout each lieu de souvenir sheds light on key social relationships, inequalities, and cultural practices that form the foundation of New Orleans’s past and present.


2020 ◽  
pp. 009614422091013
Author(s):  
Sam Ottewill-Soulsby

To be fully human in the Greco-Roman world was to be a member of a city. This is unsurprising as cities were the building blocks of Greek and Roman culture and society. The urban landscape of post-Roman Western Europe looked dramatically different, with smaller, less economically diverse cities which played a smaller role in administration. Despite this, Greco-Roman ideas of humans as city-beings remained influential. This article explores this by investigating early medieval descriptions of cynocephali, which sought to determine whether the dog-headed men were human or not. Accounts of the cynocephali that presented them as human showed them living in urban settlements, whereas in reports of non-human cynocephali there are no cities. In exploring interactions between cynocephali and urban settings through ethnographic portrayals and hagiography, this article traces the lingering importance of the city for concepts of humanity.


Author(s):  
Elina Hankela

Theologians speak of the silence of churches’ prophetic voice in the ‘new’ South Africa, whilst the country features amongst the socio-economically most unequal countries in the world, and the urban areas in particular continue to be characterised by segregation. In this context I ask: where is liberation theology? I spell out my reading of some of the recent voices in the liberationist discourse. In dialogue with these scholars I, firstly, argue for the faith community to be made a conscious centre of liberationist debates and praxis. Secondly, I do this by suggesting two theoretical building blocks (i.e. critical deconstruction and radical friendship) for local faith communities that wish to grow in a liberationist fashion.


2016 ◽  
Vol 44 (4) ◽  
pp. 693-717 ◽  
Author(s):  
Spyridon Spyratos ◽  
Demetris Stathakis ◽  
Michael Lutz ◽  
Chrisa Tsinaraki

Information about the land use of built-up areas is required for the comprehensive planning and management of cities. However, due to the high cost of the land use surveys, land use data is out-dated or not available for many cities. Therefore, we propose the reuse of up-to-date and low-cost place data from social media applications for land use mapping purposes. As main case study, we used Foursquare place data for estimating nonresidential building block use in the city of Amsterdam. Based on the Foursquare place categories, we estimated the use of 9827 building blocks, and we compared the classification results with a reference building block use dataset. Our evaluation metric is the kappa coefficient, which determines if the classification results are significantly better than a random guess result. Using the optimal set of parameter values, we achieved the highest kappa coefficient values for the land use categories “ hotels, restaurants and cafes” (0.76) and “ retail” (0.65). The lowest kappa coefficients were found for the land use categories “ industries” and “ storage and unclear”. We have also applied the methodology in another case study area, the city of Varese in Italy, where we had similar accuracy results. We therefore conclude that Foursquare place data can be trusted only for the estimation of particular land use categories.


Author(s):  
Jurij Sepjogin ◽  
Iryna Novosad

The article discusses the analysis of reconstruction of typical residential houses in the historically formed environment of European countries. Analyzing the zoning plans of European cities, it is possible to identify the main territorial areas, namely: the historic district, adjacent to the historic district and the outskirts of the city. All urban areas are formed from compositional solutions formed from residential and public buildings.The era of industrialization and typification has led to mass construction of model dwellings and these houses are the main building blocks of European cities such as: Czech Republic, Germany former GDR, Poland, Slovakia, Russia. Typical houses had stages in their development, reflecting the age of the time, politics, development of science and technology, and they are the historical environment. Industrial residential houses had stages in their development, each stage made adjustments with each decade improved planning solutions, increased floors, changed frontal and volumetric composition of the building. To date, the operational qualities of typical dwellings have become unusable and the need for reconstruction has come to an end. In order to learn about methods and techniques for improving the quality of reconstruction, the authors made an analysis of European cities: Czech Republic and Germany. The article analyzes reconstructed dwellings, techniques and methods by which the quality of volume-spatial and planning solutions was improved. The main techniques that were used in the reconstruction were identified: floor superstructure, extension of loggias and terraces, balconies; installation of additional volumes between apartment houses, re-planning of entrance group, the device of the elevator; warming of facades; replacement of window and door blocks; use of supergraphics. The article also proves that reconstruction and modernization is the only method by which it is possible to improve the quality of dwellings.


Author(s):  
Emanuele Frixa

This paper traces the recent transformations that have taken place in the city of Bologna to critically redefine the meaning and scope of the changes related to commerce and consumption, and including the city’s more general practices and promotional rhetoric. It will show how, starting from the increase in tourism and the strategic planning and policies to render the city more attractive, the city has undergone a reconfiguration through important regeneration processes linked to food. It will highlight the limited range of political and economic values which, through new ways of regulating public space and access to consumption, have redefined the socio-spatial fabric of certain areas of the city. The processes described will trace a path for deconstructing the reductively optimistic way in which Bologna is being portrayed, which ends up producing forms of displacement and exclusion.


2015 ◽  
Vol 6 (4) ◽  
pp. 110-125
Author(s):  
Lesli M. Rawlings

Service-learning is a form of experiential learning that integrates curriculum objectives to address needs in the community. It also provides students with an opportunity to apply geospatial technology concepts in a real-world setting. This paper describes a service-learning project requiring students to create an interactive Google Map depicting historic buildings and artwork for the City of Wayne, Nebraska. Students create maps by using handheld GPS receivers and editing HTML and JavaScript. The objectives of this project align with several building blocks and critical work functions in the Geospatial Technology Competency Model (GTCM). This model, developed in 2010 by the U.S. Department of Labor, attempts to identify the knowledge and abilities needed in the geospatial industry workforce. In addition the methods, assessment, and challenges for developing and executing this project are described.


2016 ◽  
pp. 908-925
Author(s):  
Lesli M. Rawlings

Service-learning is a form of experiential learning that integrates curriculum objectives to address needs in the community. It also provides students with an opportunity to apply geospatial technology concepts in a real-world setting. This paper describes a service-learning project requiring students to create an interactive Google Map depicting historic buildings and artwork for the City of Wayne, Nebraska. Students create maps by using handheld GPS receivers and editing HTML and JavaScript. The objectives of this project align with several building blocks and critical work functions in the Geospatial Technology Competency Model (GTCM). This model, developed in 2010 by the U.S. Department of Labor, attempts to identify the knowledge and abilities needed in the geospatial industry workforce. In addition the methods, assessment, and challenges for developing and executing this project are described.


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