scholarly journals A Classification of Multidimensional Open Data for Urban Morphology

2016 ◽  
Vol 42 (3) ◽  
pp. 382-395 ◽  
Author(s):  
Alexandros Alexiou ◽  
Alex Singleton ◽  
Paul A. Longley
Keyword(s):  
Open Data ◽  
Urban Morphology

scholarly journals Urban morphology as a tool for exploring the land use in residential areas: Example of New Belgrade

Spatium ◽  
2015 ◽  
pp. 76-83
Author(s):  
Ranka Gajic
Keyword(s):  
Land Use ◽  
Urban Morphology ◽  
Urban Land Use ◽  
Land Policy ◽  
Residential Areas ◽  
Private Interests ◽  
Research Findings ◽  
Morphogenetic Analysis ◽  
Morphological Patterns

The paper presents findings of research about the classification of New Belgrade?s super-blocks using the typomorphology approach and the morphogenetic analysis of urban morphology in relation to land use. The example of New Belgrade is particularly interesting given the fact that the morphological patterns of land use within its superblocks were created during the period of non-market economy in Socialism, and now it is possible to review the effect that the socio-political transition into Capitalism, which started in the 1990s, has had on its land use. As a result, a data base with the typology of residential super-blocks of New Belgrade is created: from the perspective of urban land use there are four main morphological types (with the subtypes) taking into account the morphology of the position of the buildings on the terrain, and traffic (cars-pedestrian) flows. The morphogenetic analysis reveals that after the 1990s there are processes pointing to powerful influence of land policy driven by private interests. Research findings suggest that nowadays there are negative trends of using the land in super-blocks in New Belgrade - e.g. percentage of land occupancy by buildings is getting bigger and almost 100% of the un-built soil in the newly developed super-blocks is covered /paved.

scholarly journals SEGMENTATION AND CLASSIFICATION OF NEPAL EARTHQUAKE INDUCED LANDSLIDES USING SENTINEL-1 PRODUCT

2016 ◽  
Vol XLI-B7 ◽  
pp. 769-774
Author(s):  
Saket Kunwar
Keyword(s):  
Data Exchange ◽  
Open Data ◽  
Object Oriented ◽  
Ground Truth ◽  
British Geological Survey ◽  
Exchange Program ◽  
Amplitude Data ◽  
Richter Scale ◽  
Data Commons

On April 26, 2015, an earthquake of magnitude 7.8 on the Richter scale occurred, with epicentre at Barpak (28°12'20''N,84°44'19''E), Nepal. Landslides induced due to the earthquake and its aftershock added to the natural disaster claiming more than 9000 lives. Landslides represented as lines that extend from the head scarp to the toe of the deposit were mapped by the staff of the British Geological Survey and is available freely under Open Data Commons Open Database License(ODC-ODbL) license at the Humanitarian Data Exchange Program. This collection of 5578 landslides is used as preliminary ground truth in this study with the aim of producing polygonal delineation of the landslides from the polylines via object oriented segmentation. Texture measures from Sentinel-1a Ground Range Detected (GRD) Amplitude data and eigenvalue-decomposed Single Look Complex (SLC) polarimetry product are stacked for this purpose. This has also enabled the investigation of landslide properties in the H-Alpha plane, while developing a classification mechanism for identifying the occurrence of landslides.

scholarly journals Measuring urban form: Overcoming terminological inconsistencies for a quantitative and comprehensive morphologic analysis of cities

2020 ◽  
pp. 239980832091044 ◽  
Author(s):  
Martin Fleischmann ◽  
Ombretta Romice ◽  
Sergio Porta
Keyword(s):  
Spatial Distribution ◽  
Quantitative Analysis ◽  
Urban Form ◽  
Large Scale ◽  
Global Scale ◽  
Urban Morphology ◽  
Systematic Classification ◽  
Social Patterns ◽  
The Impact

Unprecedented urbanisation processes characterise the Great Acceleration, urging urban researchers to make sense of data analysis in support of evidence-based and large-scale decision-making. Urban morphologists are no exception since the impact of urban form on fundamental natural and social patterns (equity, prosperity and resource consumption’s efficiency) is now fully acknowledged. However, urban morphology is still far from offering a comprehensive and reliable framework for quantitative analysis. Despite remarkable progress since its emergence in the late 1950s, the discipline still exhibits significant terminological inconsistencies with regards to the definition of the fundamental components of urban form, which prevents the establishment of objective models for measuring it. In this article, we present a study of existing methods for measuring urban form, with a focus on terminological inconsistencies, and propose a systematic and comprehensive framework to classify urban form characters, where ‘urban form character’ stands for a characteristic (or feature) of one kind of urban form that distinguishes it from another kind. In particular, we introduce the Index of Elements that allows for a univocal and non-interpretive description of urban form characters. Based on such Index of Elements, we develop a systematic classification of urban form according to six categories (dimension, shape, spatial distribution, intensity, connectivity and diversity) and three conceptual scales (small, medium, large) based on two definitions of scale (extent and grain). This framework is then applied to identify and organise the urban form characters adopted in available literature to date. The resulting classification of urban form characters reveals clear gaps in existing research, in particular, in relation to the spatial distribution and diversity characters. The proposed framework reduces the current inconsistencies of urban morphology research, paving the way to enhanced methods of urban form systematic and quantitative analysis at a global scale.

scholarly journals TYPES OF PUBLIC INFORMATION IN THE FORM OF OPEN DATA AND THEIR CLASSIFICATION

2020 ◽  
pp. 33-37
Author(s):  
D. Nesterova
Keyword(s):  
Public Sector ◽  
Public Awareness ◽  
Open Data ◽  
Public Information ◽  
Economic Benefits ◽  
Full Potential ◽  
Data Discovery ◽  
The Public ◽  
Public Data

The concept of public information in the form of open data and its main features are studied. It is determined that due to the possible wide application of open data, the definition of the main grounds for the classification of open data is an insufficiently covered issue. The purpose of this study is to determine the types and criteria for the classification of public information in the form of open data. This is necessary for their widespread use in order to solve socially important tasks and to use their full potential in unusual directions. The author has analyzed international reports on open data and identified the problems of the quality of such data and the possibility of using them to solve socially important tasks. The classification of open data is formed on the following grounds: 1. by data type; 2. by data format; 3. by subject. The article determines the value of open data to society and the possibility of its wide use in the example of other countries. The problems that complicate the implementation of the government data discovery initiative in Ukraine include the underdeveloped culture of open government; insufficient level of training of public authorities to work with open data; insufficient funding for the public data discovery initiative; low level of public awareness and interest in public data and the benefits of using it. Unfortunately, most citizens are still satisfying their curiosity by using open data. The author notes that using data that describes the patterns we live in can help us solve problems in ways we may not have anticipated. As a rule, public sector systems do not respond too quickly on changes. With open data, they could track, predict and respond to real-time changes. This would allow the public sector to streamline its processes and services and it would be possible to clearly identify areas for improving and increasing productivity, to develop specialized solutions based on various demographic indicators and other factors. This would be a huge transformational leap in attracting open data to the public sector, as it opens up a number of areas for innovation. The author substantiates the importance of open data for public sector transformation, economic benefits and their use as an instrument for creating an information society.

scholarly journals Revenue House - architectural typology to be valorised

2021 ◽  
Vol 16 (2) ◽  
pp. 141-152
Author(s):  
Boumaza Ouafa ◽  
Bordjiba Abdelhak
Keyword(s):  
Real Estate ◽  
Urban Morphology ◽  
Shared Responsibility ◽  
Basic Unit ◽  
The Real Estate ◽  
Multiple Factors ◽  
Urban Image ◽  
Complete Catalogue ◽  
The City

Abstract This research was carried out on the state of degradation of the historic core of Annaba city, Algeria. This degradation is caused by multiple factors, the most important of which is the absence of shared responsibility of public actors. The number of collapses multiplied which became a source for the creation of large office buildings with modernist tendencies, but without any architectural identity. The real estate park in downtown Annaba brings together urban entities according to various principles and logics of composition, structuring the urban image of the city of Annaba. The objective of this study is to build a complete catalogue summarizing the structures and fundamental characteristics of old buildings. Initially, this study defines all the notions linked to urban morphology and the typologies of housing. Secondly, an architectural study will be carried out on the “income house”, which represents the basic unit for the development of this historic nucleus. The typological analysis was applied to 44 buildings from the 19th and early 20th centuries located on the boulevard named “Revolution Square” in order to identify a set of common and specific criteria for the classification of “house income”.

scholarly journals A panacea or unregulated density of the city?

2021 ◽  
pp. 140-148
Author(s):  
Irina Kukina ◽  
Ivan Ryaposov ◽  
Klavdia Kamalova ◽  
Yana Chui
Keyword(s):  
Open Data ◽  
Urban Morphology ◽  
Living Environment ◽  
Residential Areas ◽  
Integrated Development ◽  
City Environment ◽  
The City

Drawing on the case of Krasnoyarsk, the authors study the possibilities of defining the territories of integrated development (ITD), as well as possible directions of their development from the standpoint of the modern understanding of the renovation of the city environment. To assess the functioning of residential areas to be reconstructed, the method of urban morphology and the QGIS geoinformation complex based on open data were used. Some territorial parameters are analyzed and proposed for determining the ITD, in accordance with the present ideas about the modern comfort of the living environment, using the example of two city districts.

scholarly journals Classification and characterisation of brain network changes in chronic back pain: A multicenter study

2018 ◽  
Vol 3 ◽  
pp. 19
Author(s):  
Hiroaki Mano ◽  
Gopal Kotecha ◽  
Kenji Leibnitz ◽  
Takashi Matsubara ◽  
Aya Nakae ◽  
...  
Keyword(s):  
Machine Learning ◽  
Chronic Pain ◽  
Deep Learning ◽  
Back Pain ◽  
Sensorimotor Cortex ◽  
Network Architecture ◽  
Chronic Back Pain ◽  
Open Data ◽  
Brain Network

Background. Chronic pain is a common, often disabling condition thought to involve a combination of peripheral and central neurobiological factors. However, the extent and nature of changes in the brain is poorly understood. Methods. We investigated brain network architecture using resting-state fMRI data in chronic back pain patients in the UK and Japan (41 patients, 56 controls), as well as open data from USA. We applied machine learning and deep learning (conditional variational autoencoder architecture) methods to explore classification of patients/controls based on network connectivity. We then studied the network topology of the data, and developed a multislice modularity method to look for consensus evidence of modular reorganisation in chronic back pain. Results. Machine learning and deep learning allowed reliable classification of patients in a third, independent open data set with an accuracy of 63%, with 68% in cross validation of all data. We identified robust evidence of network hub disruption in chronic pain, most consistently with respect to clustering coefficient and betweenness centrality. We found a consensus pattern of modular reorganisation involving extensive, bilateral regions of sensorimotor cortex, and characterised primarily by negative reorganisation - a tendency for sensorimotor cortex nodes to be less inclined to form pairwise modular links with other brain nodes. In contrast, intraparietal sulcus displayed a propensity towards positive modular reorganisation, suggesting that it might have a role in forming modules associated with the chronic pain state. Conclusion. The results provide evidence of consistent and characteristic brain network changes in chronic pain, characterised primarily by extensive reorganisation of the network architecture of the sensorimotor cortex.

scholarly journals On the origin of spaces: Morphometric foundations of urban form evolution

2017 ◽  
Vol 46 (4) ◽  
pp. 707-730 ◽  
Author(s):  
Jacob Dibble ◽  
Alexios Prelorendjos ◽  
Ombretta Romice ◽  
Mattia Zanella ◽  
Emanuele Strano ◽  
...  
Keyword(s):  
Urban Form ◽  
Urban Landscape ◽  
Hierarchical Cluster ◽  
Urban Morphology ◽  
New Towns ◽  
High Rise ◽  
Key Variables ◽  
Definition Of ◽  
The Way

The modern discipline of urban morphology gives us a ground for the comparative analysis of cities, which increasingly includes specific quantitative elements. In this paper, we make a further step forward towards the definition of a general method for the classification of urban form. We draw from morphometrics and taxonomy in life sciences to propose such method, which we name ‘urban morphometrics’. We then test it on a unit of the urban landscape named ‘Sanctuary Area’ (SA), explored in 45 cities whose origins span four historic time periods: Historic (medieval), Industrial (19th century), New Towns (post-WWII, high-rise) and Sprawl (post-WWII, low-rise). We describe each SA through 207 physical dimensions and then use these to discover features that discriminate them among the four temporal groups. Nine dimensions emerge as sufficient to correctly classify 90% of the urban settings by their historic origins. These nine attributes largely identify an area's ‘visible identity’ as reflected by three characteristics: (1) block perimeterness, or the way buildings define the street-edge; (2) building coverage, or the way buildings cover the land and (3) regular plot coverage, or the extent to which blocks are made of plots that have main access from a street. Hierarchical cluster analysis utilising only the nine key variables nearly perfectly clusters each SA according to its historic origin; moreover, the resulting dendrogram shows, just after WWII, the first ‘bifurcation’ of urban history, with the emergence of the modern city as a new ‘species’ of urban form. With ‘urban morphometrics’ we hope to extend urban morphological research and contribute to understanding the way cities evolve.

Sign in / Sign up

Export Citation Format

Share Document