scholarly journals Spaces of Islamophobia and spaces of inequality in Greater Paris

2020 ◽  
pp. 239965442094152
Author(s):  
Kawtar Najib
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Spatial Patterns ◽  
Quantitative Data ◽  
Statistical Data ◽  
Great Majority ◽  
Demographic Variables ◽  
Public Institutions ◽  
Terrorist Attacks ◽  
Population Census

This paper draws upon quantitative data collected from one of the principal associations fighting Islamophobia in France along with the population census, and provides a step forward in understanding the operation and distribution of Islamophobia. It presents a geography of Islamophobia in Paris based on statistical data, and aims to observe whether or not this geography corresponds or contrasts with geographies of inequality (such as those associated with gentrification, deprivation and marginalisation), by analysing the various spatial patterns stemming from the maps. This socio-spatial analysis of anti-Muslim discrimination is important in Paris because since the terrorist attacks in 2015, anti-Muslim sentiment has increased sharply. The mapping of Islamophobia and its association with the spatial distribution of different socioeconomic and demographic variables synthetized in a typological map display significant forms, relations and diversities within Paris. This cartographic analysis demonstrates that the geography of Islamophobia does not necessarily refer to spaces where ‘Muslims’ and the victims of Islamophobia live in great majority, and rather refers to more privileged and central areas such as Paris intra-muros. Victims mostly experience anti-Muslim incidents outside their everyday spaces away from their homes, such as public institutions and workplaces. Indeed, the findings raise the significance of the exact place where incidents occur as well as societal attitudes to these ‘hierarchical’ places where the perpetrator probably feels more comfortable in behaving in an antisocial and sometimes violent way.

scholarly journals Temporal-spatial Analysis of Contributors’ Mapping Behavior for Building Data in OpenStreetMap

2019 ◽  
Vol 2 ◽  
pp. 1-10
Author(s):  
Jin Xu ◽  
Qi Zhou
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Spatial Patterns ◽  
Volunteered Geographic Information ◽  
Geographic Information ◽  
Developing Regions ◽  
Temporal And Spatial Patterns ◽  
Temporal And Spatial ◽  
One Year ◽  
Beijing China

<p><strong>Abstract.</strong> Volunteered Geographic Information (VGI) crowdsourced from volunteering posts, is closely related to contributors’ mapping behavior. As the most noticeable VGI source, OpenStreetMap (OSM) is one of the most studied objectives in VGI and data contributors. In this paper, temporal-spatial analysis is applied in seeking the temporal and spatial patterns of the number of buildings and contributors in Beijing, China. Temporal changes of the number of updated buildings, and the population of total, new and quitted contributors, were interpreted, as well as the spatial distribution of updated buildings, participated contributors, and frequency of updates. The result suggests that the number of updated buildings, participated contributors, new and quitted contributors are growing. Buildings are mostly updated by a small number of contributors, the majority of which did not participated in mapping in the previous year. Most contributors update buildings for one year without succeeding till the next. Contributors are interested in updating a large amount of buildings frequently around landmarks, commercial districts, universities, and transit hubs. They update buildings at an expanding range and an increasing density, but their attentions do not necessarily bring large quantity of building updates. In general, OSM buildings in developing regions with less complete database are updated under similar patterns as developed regions where data are much more complete.</p>

SHORT-TERM RENTALS: HOW MUCH IS TOO MUCH – SPATIAL PATTERNS IN PORTUGAL AND LISBON

2021 ◽  
Vol 27 (3) ◽  
pp. 581-603
Author(s):  
Gonçalo Antunes ◽  
Jorge Ferreira
Keyword(s):  
Spatial Distribution ◽  
Spatial Analysis ◽  
Spatial Patterns ◽  
Urban Areas ◽  
Urban Life ◽  
Negative Externalities ◽  
Short Term ◽  
Multiple Dimensions ◽  
Statistical Background ◽  
Short Time

Purpose - This paper analyses the growth of tourism in Portugal and in the municipality of Lisbon, with a focus on short-term rentals. Design - The paper begins with the statistical background of the tourism boom that occurred in Portugal in the 2010s. The central part of the paper concentrates on an analysis of the spatial distribution of short-term rental properties, consisting of two parts: i) observation of spatial patterns in Portugal, by NUTS II region; ii) analysis of the municipality of Lisbon, which accounts for 22% of all short-term rentals units registered in Portugal. Methodology - The spatial analysis was carried out within GIS, using an approach based on spatial statistics, with research that involves geographic data and big data. Approach - This study combines a qualitative and quantitative approach. It begins with a theoretical review on the growth of tourism and short-term rental in the last decade, followed by a quantitative-spatial analysis to the case of Portugal and the municipality of Lisbon, and ending with reflections that combine the results of the practical analysis with the most recent literature on the impacts of tourism in Lisbon Findings - The paper ends with some reflections on the excessive concentration of short-term rentals in urban areas and their positive and negative externalities on urban life. The results suggest that the city center presents the highest concentration of short-time rentals, but not the highest concentration of beds. It also shows that the excessive concentration of short-term rentals units may cause serious negative externalities that affect the quality of life in its multiple dimensions. Originality - The results and the final discussion of this paper contributes to a greater knowledge of the spatial distribution of short-term rentals in Portugal and Lisbon and to debate the future of short-term rentals in cities that are among the world’s leading tourism destinations.

scholarly journals Spatial Analysis (Measurements at Heights of 10 m and 20 m above Ground Level) of the Concentrations of Particulate Matter (PM10, PM2.5, and PM1.0) and Gaseous Pollutants (H2S) on the University Campus: A Case Study

Atmosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 62
Author(s):  
Robert Cichowicz ◽  
Maciej Dobrzański
Keyword(s):  
Spatial Distribution ◽  
Hydrogen Sulfide ◽  
Particulate Matter ◽  
Air Quality ◽  
Spatial Analysis ◽  
Ground Level ◽  
Leeward Side ◽  
High Concentration ◽  
Above Ground Level ◽  
High Concentrations

Spatial analysis of the distribution of particulate matter PM10, PM2.5, PM1.0, and hydrogen sulfide (H2S) gas pollution was performed in the area around a university library building. The reasons for the subject matter were reports related to the perceptible odor characteristic of hydrogen sulfide and a general poor assessment of air quality by employees and students. Due to the area of analysis, it was decided to perform measurements at two heights, 10 m and 20 m above ground level, using measuring equipment attached to a DJI Matrice 600 unmanned aerial vehicle (UAV). The aim of the measurements was air quality assessment and investigate the convergence of the theory of air flow around the building with the spatial distribution of air pollutants. Considerable differences of up to 63% were observed in the concentrations of pollutants measured around the building, especially between opposite sides, depending on the direction of the wind. To explain these differences, the theory of aerodynamics was applied to visualize the probable airflow in the direction of the wind. A strong convergence was observed between the aerodynamic model and the spatial distribution of pollutants. This was evidenced by the high concentrations of dust in the areas of strong turbulence at the edges of the building and on the leeward side. The accumulation of pollutants was also clearly noticeable in these locations. A high concentration of H2S was recorded around the library building on the side of the car park. On the other hand, the air turbulence around the building dispersed the gas pollution, causing the concentration of H2S to drop on the leeward side. It was confirmed that in some analyzed areas the permissible concentration of H2S was exceeded.

Spatial Patterns of Urban Innovation and Their Evolution from Perspectives of Capacity and Structure: Taking Shenzhen as an Example

2021 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Erjie Hu ◽  
Di Hu ◽  
Handong He
Keyword(s):  
Spatial Distribution ◽  
Spatial Pattern ◽  
Distribution Pattern ◽  
Spatial Patterns ◽  
Spillover Effect ◽  
Tertiary Industry ◽  
Innovation Capacity ◽  
Structure Index ◽  
Secondary Industry ◽  
Spatial Spillover Effect

Innovation is a key factor for a country’s overall national strength and core competitiveness. The spatial pattern of innovation reflects the regional differences of innovation development, which can provide guidance for the regional allocation of innovation resources. Most studies on the spatial pattern of innovation are at urban and above spatial scale, but studies at urban internal scale are insufficient. The precision and index of the spatial pattern of innovation in the city needs to be improved. This study proposes to divide spatial units based on geographic coordinates of patents, designs the innovation capability and innovation structure index of a spatial unit and their calculation methods, and then reveals the spatial patterns of innovation and their evolutionary characteristics in Shenzhen during 2000–2018. The results show that: (1) The pattern of innovation capacity of secondary industry exhibited a pronounced spatial spillover effect with a positive spatial correlation. The innovation capacity and innovation structure index of the secondary industry evolved in a similar manner; i.e., they gradually extended from the southwest area to the north over time, forming a tree-like distribution pattern with the central part of the southwest area as the “root” and the northwest and northeast areas as the “canopy”. (2) The pattern of innovation capacity of tertiary industry also had a significant spatial spillover effect with a positive spatial correlation. There were differences between the evolutions of innovation capacity and innovation structure index of tertiary industry. Specifically, its innovation capacity presented a triangular spatial distribution pattern with three groups in the central and eastern parts of the southwest area and the south-eastern part of the northwest area as the vertices, while its innovative structure showed a radial spatial distribution pattern with the southwestern part of the southwest area as the source and a gradually sparse distribution toward the northeast. (3) There were differences between the evolution modes of secondary and tertiary industries. Areas with high innovation capacity in the secondary industry tended to be more balanced, while areas with high innovation capacity in the tertiary industry did not necessarily have a balanced innovation structure. Through the method designed in this paper, the spatial pattern of urban innovation can be more precise and comprehensive revealed, and provide useful references for the development of urban innovation.

scholarly journals Urban Catalyst Element Impact on the Pattern of Spatial Distribution in Semarang City Border Area

2018 ◽  
Vol 7 (2.29) ◽  
pp. 1002
Author(s):  
Bambang Setioko ◽  
Mustika KW ◽  
Titien WM
Keyword(s):  
Spatial Distribution ◽  
Statistical Data ◽  
Statistical Data Analysis ◽  
Literature Study ◽  
Border Area ◽  
Regression Test ◽  
Administrative Area ◽  
The City ◽  
Descriptive Method ◽  
Administrative Boundary

In recent decades the urban growth in Indonesia is likely to follow a global urban trend, characterized by peripheral urbanization. This phenomenon has potentially encouraged the growth of urban physical area to be very broad and unlimited, and often exceeds the city administrative boundary. The urban catalyst development in the eastern city accelerates the growth of settlement in the border area; while the visually of both amongst the border area and the urban area are similar. This research was conducted in Sendang Mulyo village located in the administrative area of Semarang City and in Pucang Gading village located in, Demak Region. This study aims to determine the effect of urban catalyst element on the pattern of spatial distribution in the border area of Semarang City and Demak Region. Based on literature study that has been done, this research uses a quantitative approach with descriptive method under of rationalistic paradigm. Statistical data analysis is done by regression test using software SPSS 16.0. The results of this study indicate the growth and development of urban catalyst elements in the eastern part of Semarang city, significantly has impact to the pattern of spatial distribution in the border area of the Semarang city significantly.  

scholarly journals Spatial Distribution of Breast Cancer in Sudan 2010-2016

2019 ◽  
Author(s):  
Marwa Maweya Abdelbagi Elbasheer ◽  
Ayah Galal Abdelrahman Alkhidir ◽  
Siham Mohammed Awad Mohammed ◽  
Areej Abuelgasim Hassan Abbas ◽  
Aisha Osman Mohamed ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Spatial Distribution ◽  
Spatial Analysis ◽  
High Risk ◽  
Geographical Information ◽  
Risk Level ◽  
Histopathological Diagnosis ◽  
Cross Sectional ◽  
Distribution Maps ◽  
Risk Areas

AbstractBackgroundBreast cancer is the most prevalent cancer among females worldwide including Sudan. The aim of this study was to determine the spatial distribution of breast cancer in Sudan.Materials and methodsA facility based cross-sectional study was implemented in eighteen histopathology laboratories distributed in the three localities of Khartoum State on a sample of 4630 Breast Cancer cases diagnosed during the period 2010-2016. A master database was developed through Epi Info™ 7.1.5.2 for computerizing the data collected: the facility name, type (public or private), and its geo- location (latitude and longitude). Personal data on patients were extracted from their respective medical records (name, age, marital status, ethnic group, State, locality, administrative unit, permanent address and phone number, histopathology diagnosis). The data was summarized through SPSS to generate frequency tables for estimating prevalence and the geographical information system (ArcGIS 10.3) was used to generate the epidemiological distribution maps. ArcGIS 10.3 spatial analysis features were used to develop risk maps based on the kriging method.ResultsBreast cancer prevalence was 3.9 cases per 100,000 female populations. Of the 4423 cases of breast cancer, invasive breast carcinoma of no special type (NST) was the most frequent (79.5%, 3517/4423) histopathological diagnosis. The spatial analysis indicated as high risk areas for breast cancer in Sudan the States of Nile River, Northern, Red Sea, White Nile, Northern and Southern Kordofan.ConclusionsThe attempt to develop a predictive map of breast cancer in Sudan revealed three levels of risk areas (risk, intermediate and high risk areas); regardless the risk level, appropriate preventive and curative health interventions with full support from decision makers are urgently needed.

scholarly journals Analysis on the Changing Spatial Patterns of China's Migration in 1985–2010

2014 ◽  
Vol XL-2 ◽  
pp. 37-40
Author(s):  
Q. Zan ◽  
Y. Bian
Keyword(s):  
Economic Development ◽  
Spatial Patterns ◽  
Main Part ◽  
North China ◽  
Relative Proportion ◽  
Population Migration ◽  
Population Census ◽  
Development Level ◽  
Immigration And Emigration ◽  
Level 3

Based on the data of China’s fourth, fifth and sixth population census, taking the seven geographical zone as research units, the Changing Spatial Patterns of China's Migration in 1985&ndash;2010 is studied by the means of spatial analysis and mathematical statistics. The empirical results show that: (1) The migration population in China was increasing a lot in 1985&ndash;2010, and the main part of it is Provincial migration. (2) The total number of migration, immigration and emigration, the relative proportion of inter provincial and provincial migration have been positively correlated to the regional economic development level. (3) The emigrations from Hong Kong, Macao, Taiwan and overseas mainly moved to East and North China. (4) Central and west of China are the main area where people outflowed from, and most migration population moved to south-eastern coastal areas. The migration in Northeast and northwest of China is still relatively small. The main direction of population migration and flowing is from west to east and from north to south.

scholarly journals Socio-demographic variables and crime reporting attitude in Nigeria

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Stephen A. Odey ◽  
O. Odee Ojong ◽  
A. M. Ogaboh Agba ◽  
F. Eja Ojong ◽  
Josephat O. Emeka ◽  
...  
Keyword(s):  
Law Enforcement ◽  
Public Relations ◽  
Quantitative Data ◽  
Standard Procedure ◽  
Sampling Technique ◽  
Law Enforcement Officers ◽  
Demographic Variables ◽  
Crime Reporting ◽  
Cross Sectional Survey ◽  
Cross Sectional

The complexity involved in combating crime in different regions of the world makes information sharing fundamental in crime management. Unfortunately, crime victims, who should be in the frontline of providing this information to law enforcement agents are often lethargic and lackadaisical in doing so, owing to no fault of theirs. Thus, this paper explored the convergence between socio-demographic variables and crime reporting in Nigeria. Empirically, the study examined the relationship between the attitude of law enforcement agents, location of the crime, nature of the crime, and attitude to crime reporting. Mixed methods, including a cross-sectional survey and in-depth interview, was used to collect data from 1112 respondents through a multi-stage sampling technique. The quantitative data were analysed using simple linear regression; while, the qualitative data collected were analysed in themes as a complement to the quantitative data. Findings revealed that attitudes of law enforcement agents, crime location and nature of crime significantly affect attitude to crime reporting in the study area. The study concludes that there is a connection between selected socio-demographic variables such as attitudes of law enforcement agents, crime location, nature of crime and attitude to crime reporting. It was, therefore, recommended that law enforcement officers who fail to abide by the ethics of their profession and the standard procedure governing their interaction with both complainants and suspects should be severely sanctioned. Besides, law enforcement officers should be trained and re-trained in such areas as public relations and professional ethics guiding their operations

scholarly journals INVESTIGATION AND EVALUATION OF SPATIAL PATTERNS IN TABRIZ PARKS USING LANDSCAPE METRICS

2017 ◽  
Vol 10 (2) ◽  
pp. 263-269
Author(s):  
Ali Majnouni Toutakhane ◽  
Mojtaba Mofareh
Keyword(s):  
Spatial Distribution ◽  
Spatial Patterns ◽  
Landscape Metrics ◽  
Shape Index ◽  
Quantitative Information ◽  
Green Spaces ◽  
Quantitative Results ◽  
Patch Density ◽  
Distribution Composition ◽  
Nearest Neighborhood

Nowadays, the green spaces in cities and especially metropolises have adopted a variety of functions. In addition to improving the environmental conditions, they are suitable places for spending free times and mitigating nervous pressures of the machinery life based on their distribution and dispersion in the cities. In this research, in order to study the spatial distribution and composition of the parks and green spaces in Tabriz metropolis, the map of Parks prepared using the digital atlas of Tabriz parks and Arc Map and IDRISI softwares. Then, quantitative information of spatial patterns of Tabriz parks provided using Fragstats software and a selection of landscape metrics including: the area of class, patch density, percentage of landscape, average patch size, average patch area, largest patch index, landscape shape index, average Euclidean distance of the nearest neighborhood and average index of patch shape. Then the spatial distribution, composition, extent and continuity of the parks was evaluated. Overall, only 8.5 percent of the landscape is assigned to the parks, and they are studied in three classes of neighborhood, district and regional parks. Neighborhood parks and green spaces have a better spatial distribution pattern compared to the other classes and the studied metrics showed better results for this class. In contrast, the quantitative results of the metrics calculated for regional parks, showed the most unfavorable spatial status for this class of parks among the three classes studied in Tabriz city.

scholarly journals Amplification and Suppression of Distinct Brain-wide Activity Patterns by Catecholamines

2018 ◽  
Author(s):  
RL van den Brink ◽  
S Nieuwenhuis ◽  
TH Donner
Keyword(s):  
Spatial Distribution ◽  
Human Brain ◽  
Spatial Patterns ◽  
Large Scale ◽  
Network Dynamics ◽  
Brain Network ◽  
Heterogeneous Distribution ◽  
Neurotransmitter Systems ◽  
The Brain ◽  
Catecholamine Levels

ABSTRACTThe widely projecting catecholaminergic (norepinephrine and dopamine) neurotransmitter systems profoundly shape the state of neuronal networks in the forebrain. Current models posit that the effects of catecholaminergic modulation on network dynamics are homogenous across the brain. However, the brain is equipped with a variety of catecholamine receptors with distinct functional effects and heterogeneous density across brain regions. Consequently, catecholaminergic effects on brain-wide network dynamics might be more spatially specific than assumed. We tested this idea through the analysis of functional magnetic resonance imaging (fMRI) measurements performed in humans (19 females, 5 males) at ‘rest’ under pharmacological (atomoxetine-induced) elevation of catecholamine levels. We used a linear decomposition technique to identify spatial patterns of correlated fMRI signal fluctuations that were either increased or decreased by atomoxetine. This yielded two distinct spatial patterns, each expressing reliable and specific drug effects. The spatial structure of both fluctuation patterns resembled the spatial distribution of the expression of catecholamine receptor genes: α1 norepinephrine receptors (for the fluctuation pattern: placebo > atomoxetine), ‘D2-like’ dopamine receptors (pattern: atomoxetine > placebo), and β norepinephrine receptors (for both patterns, with correlations of opposite sign). We conclude that catecholaminergic effects on the forebrain are spatially more structured than traditionally assumed and at least in part explained by the heterogeneous distribution of various catecholamine receptors. Our findings link catecholaminergic effects on large-scale brain networks to low-level characteristics of the underlying neurotransmitter systems. They also provide key constraints for the development of realistic models of neuromodulatory effects on large-scale brain network dynamics.SIGNIFICANCE STATEMENTThe catecholamines norepinephrine and dopamine are an important class of modulatory neurotransmitters. Because of the widespread and diffuse release of these neuromodulators, it has commonly been assumed that their effects on neural interactions are homogenous across the brain. Here, we present results from the human brain that challenge this view. We pharmacologically increased catecholamine levels and imaged the effects on the spontaneous covariations between brain-wide fMRI signals at ‘rest’. We identified two distinct spatial patterns of covariations: one that was amplified and another that was suppressed by catecholamines. Each pattern was associated with the heterogeneous spatial distribution of the expression of distinct catecholamine receptor genes. Our results provide novel insights into the catecholaminergic modulation of large-scale human brain dynamics.

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